29-January-2026
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Your competitive edge lives in the conversations, connections, and content your audience is already publishing — you just need to capture it.
Social Media Data
Hir Infotech is a globally trusted AI-driven data intelligence company with 13+ years of experience delivering precision-grade social media data extraction and analytics solutions to B2B enterprises across the USA, Europe, and Australia. Serving 2,745+ satisfied clients across 52+ countries, we help CTOs, CDOs, Product Leaders, and Growth teams unlock the full commercial value hidden inside social platforms — from sentiment signals and influencer metrics to competitor intelligence and real-time trend monitoring — all delivered at scale, with full compliance, and powered by proprietary AI.
15+
Social Platforms Covered
98.5%+
Data Accuracy Rate
2,745+
Happy Clients
13+
Years of Expertise
52+
Countries Served
Why Social Media Data Powers Modern B2B Intelligence
In 2026, social media platforms are no longer just communication channels — they are the world's largest unstructured databases of consumer intent, market sentiment, brand perception, and competitive activity. For B2B companies operating across the USA, UK, Germany, France, Italy, Spain, Denmark, Netherlands, Iceland, Austria, Sweden, Switzerland, and Australia, the ability to extract, process, and activate social media data at scale is now a core competitive differentiator. The global social media analytics market is projected to grow from $22.65 billion in 2026 to $66.31 billion by 2030 at a CAGR of 30.8% — a clear signal that enterprises are treating social data as strategic infrastructure, not a marketing afterthought. Hir Infotech delivers enterprise-grade, AI-powered social media data extraction services engineered for the demands of mid-market and large enterprises. Our solutions are built on a foundation of 13+ years of domain expertise, advanced NLP and ML pipelines, and rigorous compliance with GDPR, CCPA, and platform-specific terms of service — giving data, product, and growth teams the structured, clean, decision-ready datasets they need to act fast and act smart.
- Real-Time Social Listening Data Extraction: Hir Infotech deploys intelligent scrapers across 15+ major platforms to capture live posts, comments, hashtags, and mentions — delivering structured feeds that fuel brand monitoring dashboards and crisis response systems within hours.
- AI-Powered Sentiment & Opinion Mining: Our NLP-driven pipelines analyze millions of public conversations at once, classifying sentiment, emotion, and intent across product categories, industries, and geographies — enabling product and marketing teams to respond to shifts before competitors notice.
- Competitive Intelligence via Social Data Harvesting: We extract competitor brand activity, audience engagement patterns, ad creative indicators, and influencer partnerships across platforms like LinkedIn, X/Twitter, Instagram, and TikTok — turning rival social footprints into actionable market intelligence.
- Influencer & Creator Profile Data Aggregation: From follower counts and engagement rates to topic affinity and audience demographic overlays, Hir Infotech delivers comprehensive influencer data sets tailored for marketing procurement and partnership teams at scale.
Engineered for Precision at Platform Scale
Hir Infotech combines proprietary AI scraping technology, robust proxy infrastructure, and human QA oversight to deliver social media data sets that are accurate, compliant, and immediately usable inside enterprise data pipelines, CRMs, and BI tools.
Multi-Platform Unified Extraction
Our AI agents collect structured data simultaneously across LinkedIn, X/Twitter, Instagram, TikTok, Facebook, Reddit, YouTube, Pinterest, and niche forums — delivering a single, normalized dataset instead of fragmented platform silos, saving data teams weeks of integration work.
Custom NLP & Sentiment Processing Pipelines
Every raw social dataset we deliver can be enriched with AI-powered sentiment scoring, topic classification, named entity recognition (NER), and language detection — transforming raw post text into structured intelligence ready for BI tools, dashboards, and ML models.
Anti-Blocking & Proxy Rotation Infrastructure
We operate enterprise-grade rotating proxy pools, fingerprint management, and behavioral simulation layers — ensuring high-volume social data extraction with minimal disruption and maximum delivery consistency, even across platforms with aggressive bot detection.
GDPR & CCPA-Compliant Data Delivery
Hir Infotech applies data minimization, PII filtering, and lawful-basis documentation to every European and US social data engagement — ensuring your organization can operate with confidence across all major regulatory environments, including the EU AI Act requirements effective August 2026.
Trusted by leading brands
Top Social Media Data Use Cases & Platforms for B2B
Deep-Dive on Social Media Data Intelligence for B2B Growth
Real-Time Social Media Data Scraping for Competitive Market Intelligence
The ability to monitor competitor brand activity, track industry conversations, and detect emerging trends in real time is no longer a luxury reserved for enterprise giants with massive data science teams. Hir Infotech’s AI-powered social media data extraction services bring this capability to any B2B organization serious about data-driven growth. Whether you need structured sentiment feeds from X/Twitter for a financial services firm in New York, competitor engagement data from LinkedIn for a SaaS company in Frankfurt, or influencer analytics from Instagram for a retail chain expanding into the Netherlands, our platform-agnostic scraping infrastructure delivers clean, normalized datasets within agreed SLAs — typically 24 to 72 hours for custom projects.
Our social media intelligence solutions integrate natively with leading CRM platforms (Salesforce, HubSpot, Microsoft Dynamics), BI tools (Tableau, Power BI, Looker), and data warehouses (Snowflake, BigQuery, Redshift) — eliminating the technical friction that typically slows enterprise data adoption. With 2,745+ happy clients across the USA, UK, Germany, France, Italy, Spain, Denmark, Netherlands, Iceland, Austria, Sweden, Switzerland, and Australia, Hir Infotech has built the delivery frameworks, compliance protocols, and domain expertise to be a long-term social data partner — not a one-time vendor.
GDPR-Compliant Social Media Data Collection Across Europe and the USA
For European and US enterprises, the compliance dimension of social media data collection is as important as the data itself. GDPR enforcement has surpassed €5.88 billion in cumulative fines since 2018, with 2025 alone accounting for €2.3 billion — a 38% year-over-year increase — underscoring that non-compliant data practices carry enormous financial and reputational risk. Hir Infotech addresses this head-on with a compliance-first data collection framework: every social media data project is scoped with PII filtering, data minimization by design, legitimate-interest documentation, and audit-ready delivery logs.
Our legal and data governance team stays current with evolving regulations — including the EU AI Act’s high-risk system requirements taking effect in August 2026, CCPA amendments in California, and the UK’s post-Brexit data framework — so your organization doesn’t need to. For B2B companies in Germany, France, Spain, Sweden, Denmark, the Netherlands, Austria, Switzerland, and Iceland where data sovereignty requirements can differ at national levels, Hir Infotech provides region-specific compliance documentation and data residency options. This is why procurement and legal teams at mid-market and enterprise organizations across Europe and the USA consistently choose Hir Infotech as their trusted social media data partner.
Industry We Serve
Case Studies — Social Media Data Delivering Real Enterprise Outcomes
Client Background:
A mid-market e-commerce retailer headquartered in Chicago, Illinois, selling home goods across the USA and Canada with approximately $80M in annual revenue and a growing digital presence on Instagram, TikTok, and Facebook.
Challenge:
The client’s marketing and product team had no systematic way to monitor what consumers were saying about their brand and product lines across social platforms in real time. They were relying on manual spot-checks and monthly social media reports from their agency — leaving them blind to product complaints, viral negative moments, and emerging competitor trends until they had already caused damage. They needed structured, real-time social listening data piped directly into their Salesforce dashboard.
Solution:
Hir Infotech deployed a custom AI-powered social media scraping pipeline covering Instagram, TikTok, Facebook, and Reddit. Our NLP layer enriched every extracted post and comment with sentiment classification (positive, negative, neutral), topic tagging (product quality, delivery, customer service, pricing), and urgency scoring. Data was delivered via API in JSON format, updating every four hours, with a direct Salesforce integration layer built by our team.
Results:
- 94% reduction in time-to-awareness for negative brand mentions (from 72 hours to under 4 hours)
- Identified three emerging product defect trends via Reddit conversations before they escalated to mainstream media
- Marketing team reallocated 22% of monthly ad budget toward highest-sentiment product categories, improving ROAS by 31%
- Full deployment completed in 11 business days
Client Testimonial:
“Hir Infotech didn’t just deliver data — they delivered visibility. We can now see what our customers are saying the moment they say it. That’s changed how our entire product and marketing function operates.” — VP of Marketing, US E-Commerce Brand
Client Background:
A B2B SaaS company based in Munich, Germany offering workforce management solutions to mid-market European enterprises. The company competes against four major players across the DACH region.
Challenge:
The client’s product and GTM teams had limited insight into how competitors were positioning themselves on LinkedIn, what content formats were generating the most engagement, and which industries competitors were publicly targeting. Traditional market research reports were too slow and too generic for the pace of their competitive landscape.
Solution:
Hir Infotech built a LinkedIn-focused competitive intelligence data feed tracking six competitor company pages across post frequency, content topic categorization, engagement rates (likes, comments, shares), follower growth trends, and job posting activity. All data collection was scoped under GDPR-compliant legitimate interest provisions with full documentation. Weekly structured reports were delivered in Excel and via API to their BI platform.
Results:
- Discovered that two key competitors had increased hiring in France by 300% — flagging an imminent market expansion that allowed the client to accelerate their own French GTM plan by two quarters
- Identified that short-form video posts generated 4.2x more engagement than text posts for competitors — informing a content strategy pivot
- Product team used job posting intelligence to map competitor technology stacks and plan differentiation roadmap
- Delivered full GDPR compliance documentation for client’s DPO sign-off within 5 business days
Client Testimonial:
“The competitive intelligence we now get from Hir Infotech’s LinkedIn data feeds is genuinely strategic. Our board presentations are sharper, our GTM decisions are faster, and we’ve stopped being surprised by competitors.” — Chief Product Officer, Munich SaaS Company
Client Background:
A London-based influencer marketing agency managing campaigns for five major FMCG clients across the UK, Germany, and the Netherlands, with a need to evaluate and monitor over 8,000 creator profiles quarterly.
Challenge:
The agency’s existing tools provided incomplete data for micro-influencers (under 50K followers) on Instagram and TikTok — missing engagement rates, audience authenticity signals, and topic affinity data. Manual research at the scale of 8,000 profiles was costing the team 300+ hours per quarter and still producing inconsistent data quality.
Solution:
Hir Infotech delivered a bulk influencer profile data extraction service covering Instagram and TikTok, capturing follower counts, 90-day engagement rate averages, comment sentiment scores, primary content categories, posting frequency, audience geographic distribution, and fake-follower risk indicators derived from engagement-to-follower ratio analysis. Data was delivered in clean CSV format with schema documentation, updated monthly.
Results:
- Reduced influencer vetting time by 87% (from 300+ hours to under 40 hours per quarter)
- Eliminated 1,200+ low-quality influencer profiles from client consideration based on engagement anomaly flags
- Two FMCG clients reported 18–24% improvement in campaign ROI after switching to Hir Infotech-qualified creator lists
- Agency landed two new enterprise clients citing the data quality of their influencer vetting process as a key differentiator
Client Testimonial:
“Every agency claims to use data. Hir Infotech gave us data that actually changed our outcomes. The influencer datasets are clean, consistent, and have become the backbone of how we pitch and deliver campaigns.” — Managing Director, London Influencer Agency
Client Background:
A major FMCG group headquartered in Paris, France, with product lines spanning food, beverages, and personal care — distributed across France, Spain, Italy, Belgium, and Switzerland.
Challenge:
The group’s communications and digital team needed to monitor brand mentions across French, Spanish, and Italian social media in near-real time — including Facebook Groups, Instagram comments, X/Twitter posts, and TikTok videos. Existing tools offered English-only sentiment analysis with poor accuracy on Romance languages and missed platform-specific nuance.
Solution:
Hir Infotech deployed a multilingual social media data extraction and NLP enrichment pipeline covering French, Spanish, and Italian content across four platforms. Sentiment models were fine-tuned for Romance language idioms and slang. Custom urgency scoring flagged high-risk negative content for immediate escalation. A dedicated GDPR compliance layer ensured all data processing aligned with CNIL guidance for French data subjects.
Results:
- Sentiment accuracy improved from 61% (previous tool) to 93% on French-language content
- Crisis communications team reduced average response time to negative viral mentions from 48 hours to under 90 minutes
- Identified a product contamination rumor circulating in Italian Facebook Groups — 11 days before it reached mainstream media — enabling a proactive response
- Estimated PR crisis prevention value: €2.4M in avoided earned media damage (per internal estimate)
Client Testimonial:
“Hir Infotech solved a problem no other vendor could: accurate, real-time sentiment monitoring in three languages across five markets. The ROI has been extraordinary.” — Director of Digital Communications, Paris FMCG Group
Client Background:
A B2B market research firm based in Austin, Texas, providing primary and secondary research services to Fortune 500 technology clients, with a growing practice in voice-of-customer (VoC) data from online communities.
Challenge:
The firm needed a reliable, scalable pipeline to extract structured data from Reddit, Quora, industry forums, and niche community platforms — covering specific technology product categories — to power VoC reports sold to enterprise clients. Manual extraction was too slow and inconsistent. Existing API options were rate-limited and incomplete.
Solution:
Hir Infotech designed a custom multi-source community data extraction pipeline targeting 47 subreddits, 12 Quora topic areas, and 9 industry-specific forums. Data was extracted with thread structure intact (original post, all replies, upvotes, timestamps), enriched with topic classification and sentiment tagging, and delivered weekly in structured JSON and CSV formats. A historical data backfill covered 24 months of archival content at project launch.
Results:
- Reduced research report production time by 55% per engagement
- Firm’s VoC reports cited richer, higher-frequency data sources — leading to a 40% premium on report pricing vs. competitors
- Three enterprise clients renewed annual contracts specifically citing the community data quality
- Historical backfill of 24 months delivered in 8 business days — vs. a 6-week estimate from a competing provider
Client Testimonial:
“Our research practice is genuinely differentiated now. Hir Infotech delivers data at a depth and speed that would take our internal team months to replicate. They’re a core part of our delivery stack.” — Research Practice Lead, Austin Market Research Firm
Case Studies
Client Background:
A mid-market B2B SaaS company headquartered in Austin, Texas, offering project management and workflow automation software. The company maintains a sales team of 45 representatives and manages an outbound pipeline targeting operations and IT leaders at companies with 200–2,000 employees.
Challenge:
The client’s CRM contained approximately 180,000 contact records accumulated over five years. Internal audits revealed that 38% of email addresses were bouncing, 24% of phone numbers were disconnected, and over 60% of records were missing firmographic fields like company revenue, employee count, and technology stack data. The SDR team was spending an average of 2.5 hours per day on manual data research, and campaign deliverability had declined significantly, triggering Google Workspace spam flags.
Solution:
Hir Infotech performed a full-scope data append project in three phases: (1) email address verification and re-appending using our AI match engine, (2) direct-dial phone number appending for all SDR-prioritised accounts, and (3) firmographic and technographic enrichment covering revenue bands, employee counts, SIC codes, CRM platform usage, and marketing automation stack for all 180,000 records.
Results:
- Email bounce rate reduced from 38% to under 3%
- Outbound email open rate increased by 52%
- SDR research time cut by 65%, freeing 1.8 hours per rep per day
- Pipeline value increased by $1.4M in the first quarter post-enrichment
- Technographic append identified 12,000 Salesforce users as high-priority targets, enabling a dedicated sequence that delivered a 4.2% reply rate
Client Testimonial:
“Hir Infotech didn’t just clean our data — they fundamentally improved how our sales machine operates. The technographic append alone unlocked a targeting layer we didn’t know we were missing. Our SDRs are faster, our campaigns are cleaner, and the ROI showed up in the first 90 days.”
— VP of Revenue Operations, SaaS Platform, Austin TX
Client Background:
A B2B SaaS company based in Munich, Germany offering workforce management solutions to mid-market European enterprises. The company competes against four major players across the DACH region.
Challenge:
The client’s product and GTM teams had limited insight into how competitors were positioning themselves on LinkedIn, what content formats were generating the most engagement, and which industries competitors were publicly targeting. Traditional market research reports were too slow and too generic for the pace of their competitive landscape.
Solution:
Hir Infotech built a LinkedIn-focused competitive intelligence data feed tracking six competitor company pages across post frequency, content topic categorization, engagement rates (likes, comments, shares), follower growth trends, and job posting activity. All data collection was scoped under GDPR-compliant legitimate interest provisions with full documentation. Weekly structured reports were delivered in Excel and via API to their BI platform.
Results:
- Discovered that two key competitors had increased hiring in France by 300% — flagging an imminent market expansion that allowed the client to accelerate their own French GTM plan by two quarters
- Identified that short-form video posts generated 4.2x more engagement than text posts for competitors — informing a content strategy pivot
- Product team used job posting intelligence to map competitor technology stacks and plan differentiation roadmap
- Delivered full GDPR compliance documentation for client’s DPO sign-off within 5 business days
Client Testimonial:
“The competitive intelligence we now get from Hir Infotech’s LinkedIn data feeds is genuinely strategic. Our board presentations are sharper, our GTM decisions are faster, and we’ve stopped being surprised by competitors.” — Chief Product Officer, Munich SaaS Company
Client Background:
A London-based influencer marketing agency managing campaigns for five major FMCG clients across the UK, Germany, and the Netherlands, with a need to evaluate and monitor over 8,000 creator profiles quarterly.
Challenge:
The agency’s existing tools provided incomplete data for micro-influencers (under 50K followers) on Instagram and TikTok — missing engagement rates, audience authenticity signals, and topic affinity data. Manual research at the scale of 8,000 profiles was costing the team 300+ hours per quarter and still producing inconsistent data quality.
Solution:
Hir Infotech delivered a bulk influencer profile data extraction service covering Instagram and TikTok, capturing follower counts, 90-day engagement rate averages, comment sentiment scores, primary content categories, posting frequency, audience geographic distribution, and fake-follower risk indicators derived from engagement-to-follower ratio analysis. Data was delivered in clean CSV format with schema documentation, updated monthly.
Results:
- Reduced influencer vetting time by 87% (from 300+ hours to under 40 hours per quarter)
- Eliminated 1,200+ low-quality influencer profiles from client consideration based on engagement anomaly flags
- Two FMCG clients reported 18–24% improvement in campaign ROI after switching to Hir Infotech-qualified creator lists
- Agency landed two new enterprise clients citing the data quality of their influencer vetting process as a key differentiator
Client Testimonial:
“Every agency claims to use data. Hir Infotech gave us data that actually changed our outcomes. The influencer datasets are clean, consistent, and have become the backbone of how we pitch and deliver campaigns.” — Managing Director, London Influencer Agency
Client Background:
A financial advisory and wealth management firm based in Sydney, Australia, targeting high-net-worth individuals and business owners through digital channels, with a nascent intent to scale B2B partnerships with CFOs and Finance Directors.
Challenge:
The firm’s business development team needed a scalable way to identify and profile decision-makers (CFOs, Finance Directors, Business Owners) across LinkedIn in Australia and New Zealand — including current employer, company size, recent activity signals, and professional interests — without breaching privacy obligations under Australia’s Privacy Act 1988.
Solution:
Hir Infotech designed a LinkedIn public profile data extraction pipeline scoped specifically to publicly visible professional data for individuals matching the client’s ICP (Ideal Customer Profile) criteria. All data was collected on public-domain information only, with PII handling protocols aligned to Australia’s Privacy Act and GDPR standards. Delivered weekly in structured CSV format with enriched company-level firmographic overlays.
Results:
- Generated 4,200+ qualified prospect profiles in the first 60 days
- Business development team reported a 2.8x improvement in outreach response rates vs. their previous manual research method
- Identified 310 decision-makers who had posted publicly about specific financial planning topics — enabling hyper-personalized outreach
- Client expanded the engagement to include NZ, Singapore, and Hong Kong markets within 90 days of first delivery
Client Testimonial:
“The quality and structure of data Hir Infotech delivers is unlike anything we’ve used before. We’re having better conversations, with the right people, far more efficiently than we ever have.” — Head of Business Development, Sydney Financial Advisory Firm
Client Background:
A major FMCG group headquartered in Paris, France, with product lines spanning food, beverages, and personal care — distributed across France, Spain, Italy, Belgium, and Switzerland.
Challenge:
The group’s communications and digital team needed to monitor brand mentions across French, Spanish, and Italian social media in near-real time — including Facebook Groups, Instagram comments, X/Twitter posts, and TikTok videos. Existing tools offered English-only sentiment analysis with poor accuracy on Romance languages and missed platform-specific nuance.
Solution:
Hir Infotech deployed a multilingual social media data extraction and NLP enrichment pipeline covering French, Spanish, and Italian content across four platforms. Sentiment models were fine-tuned for Romance language idioms and slang. Custom urgency scoring flagged high-risk negative content for immediate escalation. A dedicated GDPR compliance layer ensured all data processing aligned with CNIL guidance for French data subjects.
Results:
- Sentiment accuracy improved from 61% (previous tool) to 93% on French-language content
- Crisis communications team reduced average response time to negative viral mentions from 48 hours to under 90 minutes
- Identified a product contamination rumor circulating in Italian Facebook Groups — 11 days before it reached mainstream media — enabling a proactive response
- Estimated PR crisis prevention value: €2.4M in avoided earned media damage (per internal estimate)
Client Testimonial:
“Hir Infotech solved a problem no other vendor could: accurate, real-time sentiment monitoring in three languages across five markets. The ROI has been extraordinary.” — Director of Digital Communications, Paris FMCG Group
Client Background:
A B2B market research firm based in Austin, Texas, providing primary and secondary research services to Fortune 500 technology clients, with a growing practice in voice-of-customer (VoC) data from online communities.
Challenge:
The firm needed a reliable, scalable pipeline to extract structured data from Reddit, Quora, industry forums, and niche community platforms — covering specific technology product categories — to power VoC reports sold to enterprise clients. Manual extraction was too slow and inconsistent. Existing API options were rate-limited and incomplete.
Solution:
Hir Infotech designed a custom multi-source community data extraction pipeline targeting 47 subreddits, 12 Quora topic areas, and 9 industry-specific forums. Data was extracted with thread structure intact (original post, all replies, upvotes, timestamps), enriched with topic classification and sentiment tagging, and delivered weekly in structured JSON and CSV formats. A historical data backfill covered 24 months of archival content at project launch.
Results:
- Reduced research report production time by 55% per engagement
- Firm’s VoC reports cited richer, higher-frequency data sources — leading to a 40% premium on report pricing vs. competitors
- Three enterprise clients renewed annual contracts specifically citing the community data quality
- Historical backfill of 24 months delivered in 8 business days — vs. a 6-week estimate from a competing provider
Client Testimonial:
“Our research practice is genuinely differentiated now. Hir Infotech delivers data at a depth and speed that would take our internal team months to replicate. They’re a core part of our delivery stack.” — Research Practice Lead, Austin Market Research Firm
Client Background:
A fast-growing online retail group based in Amsterdam, Netherlands, operating across the Netherlands, Belgium, Denmark, and Sweden — selling consumer electronics and smart home products through its own digital channels and third-party marketplaces.
Challenge:
The company needed structured social commerce data: product mentions in Instagram Stories and TikTok videos, UGC (user-generated content) referencing specific product categories, trending product hashtags across Benelux and Scandinavian markets, and competitor product launch signal detection from social platforms.
Solution:
Hir Infotech deployed a custom social commerce monitoring pipeline covering Instagram, TikTok, and X/Twitter, with geographic filtering for Dutch, Belgian, Danish, and Swedish content. AI agents extracted structured product mention data, creator attribution, hashtag velocity tracking, and engagement metrics. All data collection followed GDPR Article 6 legitimate interest guidelines, with Dutch DPA-aligned documentation.
Results:
- Identified three trending product categories in Scandinavian markets 3–4 weeks ahead of internal team discovery
- UGC monitoring revealed a high-performing product that had not yet been listed on the company’s website — prompting a rapid category expansion that generated €380,000 in Q3 revenue
- Reduced market research turnaround from 6 weeks (traditional research) to 5 business days (continuous social data feed)
- Procurement team reported 35% cost reduction vs. previous market intelligence software subscriptions
Client Testimonial:
“Hir Infotech’s social commerce data has fundamentally changed how fast we move. We’re now making product and marketing decisions in days rather than months — and the results show it.” — Chief Digital Officer, Amsterdam Retail Group
Working with Hir Infotech
Data you can trust
Rely on Hir Infotech for 95%+ accurate data, meticulously verified to fuel your B2B success. Our global scraping solutions deliver trusted insights for confident decision-making worldwide.
Decades of experience
With 12+ years of expertise, Hir Infotech has served 2745+ clients globally. Our proven scraping solutions drive B2B success across the USA, Europe, and Australia.
Legal peace of mind
Rely on Hir Infotech for 95%+ accurate data, meticulously verified to fuel your B2B success. Our global scraping solutions deliver trusted insights for confident decision-making worldwide.
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Ready to Turn Social Conversations Into Strategic Intelligence?
Hir Infotech has been delivering precision-grade social media data solutions to 2,745+ satisfied clients across the USA, Europe, and Australia for over 13 years. Whether you need real-time brand monitoring feeds, structured influencer datasets, competitive intelligence from LinkedIn, or AI-enriched sentiment pipelines across multiple European markets — our team delivers clean, compliant, integration-ready data within your timelines.
Request your free social media data sample today and experience the Hir Infotech difference.
Trusted by 2,745+ B2B clients globally | 13+ years of AI-driven data expertise | GDPR & CCPA compliant delivery
Unlock Business Growth with Expert Social Media Data Solutions
Key Benefits of Social Media Data for B2B Enterprises
Flexible Pricing Models
Project-Based (Flat Fee) Pricing
A one-time fee is charged for a specific project, regardless of volume or duration, based on scope and complexity.
Hourly or Time-Based Pricing
Billed based on the time spent developing, running, or maintaining the scraper, often used for custom or consulting-heavy projects.
Pay-As-You-Go
Charged based on actual usage, such as per request, per GB of bandwidth, or per page scraped, with no fixed commitment.
Subscription-Based Pricing
pay a recurring fee (monthly or annually) for access to scraping services, often tiered based on usage limits like the number of requests, pages scraped, or data points extracted.
Hir Infotech’s Web Scraping Methodology
1
Understanding Your Goals
We begin by collaborating with you to define your data needs—be it for a one-time project, recurring insights, or custom solutions. Whether you opt for Pay-As-You-Go flexibility, a Project-Based Flat Fee, Hourly expertise, or a Subscription plan, we align our approach to your objectives.
2
Target Identification & Planning
Our team identifies the websites and data sources critical to your project. We analyze site structures, assess complexity (e.g., static vs. dynamic content), and plan the most efficient scraping strategy, ensuring compliance with public data access norms.
3
Advanced Data Extraction
Using cutting-edge tools and custom-built scrapers, we extract data at scale. We tackle challenges like JavaScript-rendered pages or anti-scraping measures with techniques such as:
- Rotating proxies to avoid blocks.
- Headless browsers (e.g., Selenium) for dynamic content.
- Optimized request pacing to mimic human behavior.
4
Data Processing & Quality Control
Raw data is parsed, cleaned, and structured into formats like CSV, JSON, or Excel. We remove duplicates, correct errors, and validate accuracy to ensure you receive reliable, ready-to-use datasets.
5
Delivery Tailored to You
Depending on your pricing model, we deliver results how and when you need them:
- Pay-As-You-Go: On-demand data for ad-hoc use.
- Project-Based: Complete datasets for one-off projects.
- Hourly: Iterative updates during custom development.
- Subscription: Regular, automated feeds for ongoing insights.
6
Ongoing Support & Optimization
We monitor site changes, adapt scrapers as needed, and provide support to keep your data flowing seamlessly. Subscription clients enjoy continuous updates, while Hourly clients benefit from hands-on refinements.
Let's build something great together.
Contact us for top-tier talent and exceptional results.
We’ve been working with Hir Infotech for our data scraping needs, and they have exceeded our expectations. The data they provide us is always accurate, timely and helps us make more informed decisions. The team at Hir Infotech is always responsive, and we appreciate their high level of expertise.
The data scraping services provided by Hir Infotech have been instrumental in helping us stay ahead of the competition. We now have access to real-time pricing and product data, allowing us to adjust our strategy and remain competitive.
we are incredibly grateful for the partnership we’ve developed with Hir Infotech. Their data scraping services have helped us improve our marketing strategies and drive growth for our clients. We highly recommend their services to any advertising & marketing company looking to gain a competitive edge.
Frequently Asked Questions
What is social media data extraction and how does it work for B2B companies?
Social media data extraction is the process of systematically collecting structured data from social media platforms — including posts, comments, profiles, engagement metrics, hashtags, and follower data — using automated AI-driven scraping technology. For B2B companies, this data powers use cases including competitive intelligence, sentiment monitoring, lead generation, market research, influencer identification, and trend analysis. Hir Infotech’s extraction pipelines run across 15+ platforms, delivering normalized, enriched datasets directly into your existing data infrastructure within agreed SLAs.
Is social media data scraping legal and GDPR-compliant in Europe?
Social media data collection is legal when scoped to publicly available data and conducted under a lawful basis as defined by GDPR Article 6 — typically legitimate interest for B2B use cases. Hir Infotech applies rigorous compliance protocols to every European engagement: PII detection and filtering, data minimization, legitimate interest assessments (LIAs), and GDPR-aligned documentation. We stay current with EU AI Act requirements and national-level DPA guidance (CNIL in France, BfDI in Germany, ICO in the UK) — and provide full compliance documentation for your DPO review.
Which social media platforms does Hir Infotech extract data from?
Hir Infotech extracts data from 15+ platforms including LinkedIn, X/Twitter, Instagram, TikTok, Facebook, YouTube, Reddit, Pinterest, Quora, Trustpilot, Google Reviews, Glassdoor, GitHub, Snapchat, and industry-specific forums and community platforms. We also cover regional platforms relevant to specific European markets. Each platform extraction is scoped to publicly accessible data and delivered in your preferred format (JSON, CSV, XML, or via API).
How quickly can Hir Infotech deliver a custom social media dataset?
For standard scoped projects — including platform selection, data fields, geographic filtering, and volume — Hir Infotech typically delivers initial datasets within 24 to 72 hours of project confirmation. Complex multi-platform, multi-language, or historically backfilled engagements are scoped individually, with typical delivery within 5 to 10 business days. Our dedicated delivery managers provide project timelines and milestone tracking for every enterprise engagement.
Can social media data be integrated directly into our CRM or BI tools?
Yes. Hir Infotech delivers all social media datasets in enterprise-ready formats with full schema documentation, enabling direct integration into Salesforce, HubSpot, Microsoft Dynamics, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, and custom data pipelines. For clients requiring real-time or recurring data delivery, we offer API-based data feeds with configurable update frequencies (hourly, daily, weekly) aligned to your operational requirements.
What industries does Hir Infotech serve with social media data solutions?
Hir Infotech serves B2B clients across 30+ industries including e-commerce, retail, financial services, SaaS and technology, healthcare, FMCG, media and entertainment, logistics, real estate, travel, professional services, market research, automotive, and education. Our social media data use cases are tailored to the specific intelligence needs of each vertical — from product sentiment monitoring for consumer brands to hiring signal analysis for investment firms and competitive benchmarking for SaaS product teams.
How does Hir Infotech ensure the accuracy and quality of social media data?
Hir Infotech maintains a 98.5%+ data accuracy rate across structured social media datasets through a multi-layer quality assurance process: AI-powered data validation at extraction, deduplication and normalization processing, schema compliance checks, and human QA review for high-value or complex datasets. Every delivery includes a data quality report with field-level completeness metrics. We also provide structured feedback loops — clients can flag anomalies within 5 business days of delivery for re-extraction at no additional cost.
What is the difference between social media data extraction and a social listening tool?
Off-the-shelf social listening tools (Brandwatch, Sprinklr, Meltwater) provide pre-configured dashboards covering limited, API-sourced data with fixed fields, restricted historical access, and platform-dependent coverage gaps. Hir Infotech’s custom social media data extraction delivers the raw, structured datasets that power social listening tools — with full field flexibility, multi-platform coverage beyond API limitations, historical backfill capability, and integration-ready output formats that feed directly into your proprietary analytics systems. For enterprises that have outgrown SaaS tools, we are the infrastructure layer underneath.
Can Hir Infotech handle large-scale, ongoing social media data collection projects?
Yes. Hir Infotech’s infrastructure is engineered for enterprise-scale, continuous data collection. We have delivered ongoing social media data projects requiring millions of records per month across multiple platforms and geographies — with dedicated capacity allocation, proactive monitoring, and SLA-backed delivery guarantees. Our largest ongoing engagements span 18+ months with quarterly scope reviews, ensuring data coverage adapts as your business and platform landscapes evolve.
How does social media data support B2B product development and go-to-market strategy?
Social media data is one of the most underutilized inputs in B2B product and GTM strategy. Job posting data from LinkedIn reveals competitor technology investments and hiring priorities before any public announcement. Reddit and forum data surfaces unmet customer needs and product pain points in unfiltered language. TikTok and Instagram trend data identifies category momentum shifts weeks before they appear in traditional market research. Hir Infotech packages these signals into structured, analysis-ready datasets that product managers, GTM strategists, and category leaders can act on immediately — without needing a dedicated data engineering team.
Client Background:
A financial advisory and wealth management firm based in Sydney, Australia, targeting high-net-worth individuals and business owners through digital channels, with a nascent intent to scale B2B partnerships with CFOs and Finance Directors.
Challenge:
The firm’s business development team needed a scalable way to identify and profile decision-makers (CFOs, Finance Directors, Business Owners) across LinkedIn in Australia and New Zealand — including current employer, company size, recent activity signals, and professional interests — without breaching privacy obligations under Australia’s Privacy Act 1988.
Solution:
Hir Infotech designed a LinkedIn public profile data extraction pipeline scoped specifically to publicly visible professional data for individuals matching the client’s ICP (Ideal Customer Profile) criteria. All data was collected on public-domain information only, with PII handling protocols aligned to Australia’s Privacy Act and GDPR standards. Delivered weekly in structured CSV format with enriched company-level firmographic overlays.
Results:
Client Testimonial:
“The quality and structure of data Hir Infotech delivers is unlike anything we’ve used before. We’re having better conversations, with the right people, far more efficiently than we ever have.” — Head of Business Development, Sydney Financial Advisory Firm