29-January-2026
Unlock crucial business data by mastering website anti-scraping. Our 2026 guide covers proven strategies from IP rotation to headless browsers...
Turning Raw Web Data Into Competitive Intelligence — At Enterprise Scale
Data Collection
Hir Infotech is a globally recognized AI-driven data collection company with 13+ years of experience delivering structured, accurate, and compliance-ready data to B2B enterprises across the USA, Europe, and Australia. From real-time web extraction to large-scale structured dataset delivery, we power smarter decisions for 2,745+ satisfied clients worldwide. Whether you’re a CTO scaling competitive intelligence pipelines or a Chief Data Officer demanding GDPR-compliant data feeds, Hir Infotech is the trusted partner that transforms the open web into your most valuable business asset.
10B+
Data Points Delivered
99.5%+
Data Accuracy Rate
2,745+
Happy Clients
13+
Years of Expertise
50+
Countries Served
Why AI-Driven Data Collection Is the Strategic Core of Modern B2B Operations
In 2026, data collection has evolved from a supporting function into the strategic foundation of every high-performing B2B enterprise. Organizations that harness structured, high-quality, real-time data consistently outpace competitors in market responsiveness, lead conversion, and operational efficiency. Whether your teams are tracking competitor pricing across European markets, building ML training datasets, monitoring regulatory changes in the USA, or identifying emerging consumer demand signals in Australia — the speed, accuracy, and compliance of your data pipeline directly determines the quality of every downstream business decision. At Hir Infotech, we go beyond simple scraping. Our AI-assisted data collection workflows combine intelligent crawlers, machine learning validation, proxy management, and human QA to deliver structured, clean, and actionable datasets — tailored to your industry, your use case, and your compliance requirements. With 13+ years of experience and 2,745+ happy clients spanning North America, the UK, Germany, France, the Netherlands, Sweden, Switzerland, Austria, Denmark, Spain, Italy, Iceland, and Australia, our global data collection capabilities are built to scale with your ambitions.
- Intelligent Web Data Extraction: AI-powered crawlers continuously extract structured data from millions of web pages — including dynamic JavaScript-rendered content — ensuring your datasets are fresh, complete, and ready for immediate analysis without manual intervention.
- Custom Dataset Structuring & Delivery: We collect, clean, normalize, and deliver data in your preferred format — JSON, CSV, XML, or direct API integration — mapped to your CRM, data warehouse, or BI platform for zero-friction ingestion.
- Compliance-First Data Pipelines: Every data collection engagement is designed with GDPR, CCPA, and regional data privacy regulations at its core, ensuring your organization operates within legal boundaries while accessing the web intelligence you need.
- Real-Time & Scheduled Data Feeds: From on-demand snapshots to continuous real-time data streams, Hir Infotech’s infrastructure supports both burst collection needs and persistent monitoring pipelines that keep your teams ahead of market shifts.
AI-Powered Data Collection Capabilities
Hir Infotech’s end-to-end data collection infrastructure combines proprietary AI models, distributed proxy networks, and human-in-the-loop validation to deliver enterprise-grade datasets at scale — reliably, rapidly, and in full regulatory compliance.
Smart Anti-Bot Bypass Technology
Our AI models dynamically rotate residential and datacenter proxies, simulate genuine browser sessions, and solve CAPTCHAs with near-zero failure rates, ensuring maximum data access even from the most protection-heavy enterprise platforms and directories.
Multi-Source Aggregation & Deduplication
Our pipelines simultaneously collect data from multiple sources — websites, APIs, PDFs, and structured web portals — then apply AI-driven deduplication and normalization rules, delivering a single, unified dataset free of redundancy and inconsistency.
JavaScript & Dynamic Content Rendering
Modern websites render data through JS frameworks and single-page applications. Hir Infotech’s headless browser infrastructure captures fully rendered page content — ensuring no data is missed due to dynamic loading, lazy rendering, or AJAX-based content injection.
Compliance Audit Trail & Data Governance
Every data collection task generates a complete audit trail: source URLs, collection timestamps, transformation logs, and delivery records. This governance layer ensures your data is fully traceable — satisfying GDPR, CCPA, and ISO compliance requirements across EU, US, and Australian jurisdictions.
Trusted by leading brands
Popular Use Cases & Platforms for B2B Data Collection
Scalable Data Collection Services That Drive Real Business Outcomes
Enterprise-Grade Data Collection for Competitive Intelligence in the USA and Europe
For B2B companies operating in competitive markets across the USA, UK, Germany, France, and the Netherlands, having access to timely and accurate competitor data is not optional — it is existential. Hir Infotech’s AI-driven data collection services empower commercial intelligence teams to monitor competitor pricing, product catalog changes, marketing messaging, and market positioning — all in real time, at scale, and with zero manual effort. Our clients in the retail, SaaS, and financial services sectors across these geographies consistently report 40–60% reductions in market research cycle times after deploying our data pipelines, replacing patchwork manual processes with structured, automated, and continuously refreshed data assets delivered directly into their analytics stacks. With deep regional expertise in European data regulations including GDPR and the UK’s evolving post-Brexit data frameworks, Hir Infotech ensures every extraction engagement is fully compliant — so your legal and privacy teams can stay focused on strategy, not remediation.
AI-Powered Data Collection for Lead Generation and Sales Intelligence Across Australia and Europe
Generating high-quality, verified B2B leads at scale is one of the most persistent challenges for revenue teams in Australia, Sweden, Denmark, Austria, Switzerland, Spain, Italy, and Iceland. Hir Infotech’s custom B2B data collection services extract structured company records, decision-maker contact data, industry classifications, firmographic attributes, and technographic signals from directories, professional networks, and company websites — then validate, deduplicate, and enrich them into sales-ready prospect lists. Our lead data pipelines integrate directly with CRM platforms including Salesforce, HubSpot, Pipedrive, and Microsoft Dynamics — meaning your sales development representatives receive fresh, actionable intelligence without ever leaving their workflow. With 2,745+ happy clients across three continents and 13+ years of experience delivering compliant, high-accuracy B2B datasets, Hir Infotech is the trusted data partner for revenue teams that refuse to compete on stale information.
Industry We Serve
Case Studies: Real Results from Real B2B Clients
Client Background: A mid-market specialty retail chain operating 80+ stores across the US Midwest and an expanding e-commerce presence, with a merchandising team struggling to respond to rapid competitor price changes on Amazon, Walmart, and direct-brand DTC sites.
Challenge: The client’s pricing team was manually checking competitor pricing three times per week using spreadsheets. This process consumed 40+ hours per week of analyst time, produced data that was already 48–72 hours stale, and created blind spots across key categories during high-velocity promotional periods like Black Friday and back-to-school season.
Solution: Hir Infotech deployed a custom AI-driven data collection pipeline targeting 12 competitor domains and 3 major marketplace platforms. Our smart crawlers extracted SKU-level pricing, promotional flags, bundle configurations, and availability data every 4 hours — 24/7 — with intelligent anti-bot bypass ensuring uninterrupted access. Data was delivered via API directly into the client’s existing pricing management platform.
Results:
- Pricing team’s manual research time reduced by 87%
- Response time to competitor price changes dropped from 72 hours to under 6 hours
- Gross margin on key categories improved by 3.2 percentage points within two quarters
- Coverage expanded from 3,200 SKUs to 18,500 SKUs with no increase in headcount
Client Testimonial: “Hir Infotech’s data collection pipeline fundamentally changed how we compete on price. We went from reacting to the market three days late to setting the pace in our categories. The accuracy and reliability of their data is genuinely world-class.” — VP of Merchandising, US Retail Chain
Client Background: A fast-growing B2B SaaS platform based in Munich, Germany, serving mid-market manufacturing and logistics companies across the DACH region (Germany, Austria, Switzerland). Their sales team needed a scalable pipeline of verified decision-maker contacts to support an aggressive expansion into new verticals.
Challenge: Previous list-purchasing attempts had yielded poor data quality — incorrect email addresses, outdated job titles, and critically, records of questionable GDPR compliance provenance. The company’s DPO had halted all outbound campaigns pending a compliant, auditable data sourcing solution.
Solution: Hir Infotech designed a GDPR-aligned data collection workflow targeting publicly available business directories, trade association websites, and company registers in Germany, Austria, and Switzerland. Our team collected company records, then enriched and validated contact information through multi-layer verification — with full source attribution, collection timestamps, and a lawful basis documentation package delivered alongside every dataset.
Results:
- 42,000+ verified, GDPR-compliant B2B contacts delivered within 4 weeks
- Email deliverability rate of 96.8% — well above the 85% industry average
- Sales team outbound pipeline velocity increased by 3.4x within 60 days
- Zero compliance incidents since deployment — DPO approved continuation and expansion
Client Testimonial: “We needed data we could actually use — legally and practically. Hir Infotech didn’t just deliver records; they delivered a compliance framework around those records that gave our legal team full confidence. That level of diligence is rare.” — Chief Revenue Officer, Munich B2B SaaS Company
Client Background: A London-based alternative asset management firm running event-driven trading strategies across European equities and credit markets. Their research team required continuous, structured extraction of financial news, earnings announcements, and regulatory filings from hundreds of sources across the EU and UK.
Challenge: The firm’s existing news aggregation tooling was missing key sources, introducing 15–25 minute latency between publication and delivery, and failing to extract structured entities — companies, instruments, jurisdictions — in a machine-readable format compatible with their quantitative models.
Solution: Hir Infotech built a custom real-time data collection architecture covering 340+ financial news sources, regulatory portals (FCA, ESMA, BaFin), and company IR pages. Our AI pipelines extracted, normalized, and tagged each article with entity metadata — company names, tickers, event types, sentiment signals, and geographic jurisdiction — and delivered structured JSON feeds with sub-5-minute latency via WebSocket API.
Results:
- Source coverage increased from 80 to 340+ data sources
- Average data latency reduced from 22 minutes to under 4 minutes
- Quantitative model signal refresh rate improved by 5.5x
- Research team productivity increased by 35% with structured data replacing manual curation
Client Testimonial: “The speed and structure of Hir Infotech’s data feeds gave our quant team a genuine informational edge. Their coverage of European regulatory sources is particularly impressive — we’re getting structured, machine-readable data from sources no other provider was capturing.” — Head of Quantitative Research, London Asset Manager
Client Background: A Sydney-based PropTech startup building an AI-powered property investment intelligence platform for retail and professional investors across Australia’s major metro and regional markets. The product required comprehensive, current, and structured property listing data.
Challenge: The client needed structured data from multiple Australian property portals — including listing prices, property attributes, suburb-level median pricing, days on market, and agent data — refreshed daily across all Australian states and territories. Existing data licensing options were cost-prohibitive, and manual scraping attempts had been blocked repeatedly.
Solution: Hir Infotech deployed a multi-portal data collection system across four major Australian property platforms, using rotating residential proxy infrastructure to maintain reliable access. Our pipelines extracted, normalized, and cross-referenced property data daily — delivering a unified, clean dataset via PostgreSQL-compatible API with full suburb and postcode geographic tagging.
Results:
- 1.2 million+ active property listings collected and structured daily
- Data freshness improved to 24-hour refresh cycles across all Australian states
- Time-to-market for the client’s MVP reduced by 4 months (replacing a planned in-house build)
- Platform secured $3.2M seed funding six months after launch, with proprietary data infrastructure cited by investors
Client Testimonial: “Hir Infotech made our data infrastructure possible. We went from zero to a production-ready property data pipeline in six weeks. Their team’s technical depth and willingness to solve genuinely hard collection problems made them feel like an extension of our own engineering team.” — Co-Founder & CTO, Sydney PropTech Startup
Client Background: A Paris-based B2B procurement intelligence platform serving procurement directors at large French and pan-European enterprises in the automotive, aerospace, and industrial manufacturing sectors.
Challenge: The client needed continuously updated supplier capability data, certifications, financial health signals, and contact information from thousands of European industrial suppliers across France, Italy, Spain, Germany, and the Netherlands — data that was highly fragmented across trade directories, company websites, and national business registries.
Solution: Hir Infotech designed a multi-country data collection orchestration covering 18 European data sources — including Kompass, national trade registers, and industry association portals. AI-driven entity resolution matched supplier records across sources to create unified, deduplicated profiles for 280,000+ European industrial suppliers, updated on a weekly basis with change detection and delta-delivery alerts.
Results:
- 280,000+ supplier profiles built and maintained continuously
- Data coverage expanded from 4 to 18 countries in a single engagement
- Procurement teams reported 52% reduction in supplier qualification research time
- Platform’s customer retention increased by 28% following the data quality improvement
Client Testimonial: “Our product was only as good as the supplier data behind it. Hir Infotech solved a data collection problem we had been struggling with for two years. Their multi-country, multi-source approach is genuinely unique — no other provider could match their European coverage.” — Chief Product Officer, Paris Procurement Platform
Client Background: A Boston-based life sciences analytics company providing competitive intelligence software to pharmaceutical and biotech R&D teams across the USA and Europe. Their platform required continuous collection of clinical trial data, drug approval filings, and scientific publication metadata.
Challenge: The client needed structured data from ClinicalTrials.gov, EudraCT, PubMed, FDA drug databases, and EMA approval portals — collected, normalized, and cross-referenced across entities like drug names, conditions, trial phases, and sponsor organizations. Manual curation had become unsustainable as their platform scaled.
Solution: Hir Infotech built a specialized life sciences data collection pipeline targeting 8 authoritative global healthcare data sources. Our AI models extracted and structured trial records, publication metadata, approval timelines, and competitor pipeline signals — then applied entity resolution to link drug names, INN codes, company identifiers, and therapeutic area classifications into a unified knowledge graph updated daily.
Results:
- 850,000+ clinical trial records structured and cross-referenced
- Data refresh latency reduced from weekly to daily updates
- Research team’s manual data curation effort reduced by 78%
- Platform added 4 new pharmaceutical enterprise clients within 6 months citing data quality
Client Testimonial: “In life sciences intelligence, data quality and timeliness are everything. Hir Infotech’s team understood the domain deeply — they didn’t just collect data, they understood what the data meant and structured it accordingly. The quality of their output exceeded anything we had built internally.” — Director of Data Products, Boston Life Sciences Analytics Company
Case Studies: Real Results from Real B2B Clients
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 fast-growing B2B SaaS platform based in Munich, Germany, serving mid-market manufacturing and logistics companies across the DACH region (Germany, Austria, Switzerland). Their sales team needed a scalable pipeline of verified decision-maker contacts to support an aggressive expansion into new verticals.
Challenge: Previous list-purchasing attempts had yielded poor data quality — incorrect email addresses, outdated job titles, and critically, records of questionable GDPR compliance provenance. The company’s DPO had halted all outbound campaigns pending a compliant, auditable data sourcing solution.
Solution: Hir Infotech designed a GDPR-aligned data collection workflow targeting publicly available business directories, trade association websites, and company registers in Germany, Austria, and Switzerland. Our team collected company records, then enriched and validated contact information through multi-layer verification — with full source attribution, collection timestamps, and a lawful basis documentation package delivered alongside every dataset.
Results:
- 42,000+ verified, GDPR-compliant B2B contacts delivered within 4 weeks
- Email deliverability rate of 96.8% — well above the 85% industry average
- Sales team outbound pipeline velocity increased by 3.4x within 60 days
- Zero compliance incidents since deployment — DPO approved continuation and expansion
Client Testimonial: “We needed data we could actually use — legally and practically. Hir Infotech didn’t just deliver records; they delivered a compliance framework around those records that gave our legal team full confidence. That level of diligence is rare.” — Chief Revenue Officer, Munich B2B SaaS Company
Client Background: A London-based alternative asset management firm running event-driven trading strategies across European equities and credit markets. Their research team required continuous, structured extraction of financial news, earnings announcements, and regulatory filings from hundreds of sources across the EU and UK.
Challenge: The firm’s existing news aggregation tooling was missing key sources, introducing 15–25 minute latency between publication and delivery, and failing to extract structured entities — companies, instruments, jurisdictions — in a machine-readable format compatible with their quantitative models.
Solution: Hir Infotech built a custom real-time data collection architecture covering 340+ financial news sources, regulatory portals (FCA, ESMA, BaFin), and company IR pages. Our AI pipelines extracted, normalized, and tagged each article with entity metadata — company names, tickers, event types, sentiment signals, and geographic jurisdiction — and delivered structured JSON feeds with sub-5-minute latency via WebSocket API.
Results:
- Source coverage increased from 80 to 340+ data sources
- Average data latency reduced from 22 minutes to under 4 minutes
- Quantitative model signal refresh rate improved by 5.5x
- Research team productivity increased by 35% with structured data replacing manual curation
Client Testimonial: “The speed and structure of Hir Infotech’s data feeds gave our quant team a genuine informational edge. Their coverage of European regulatory sources is particularly impressive — we’re getting structured, machine-readable data from sources no other provider was capturing.” — Head of Quantitative Research, London Asset Manager
Client Background: A Sydney-based PropTech startup building an AI-powered property investment intelligence platform for retail and professional investors across Australia’s major metro and regional markets. The product required comprehensive, current, and structured property listing data.
Challenge: The client needed structured data from multiple Australian property portals — including listing prices, property attributes, suburb-level median pricing, days on market, and agent data — refreshed daily across all Australian states and territories. Existing data licensing options were cost-prohibitive, and manual scraping attempts had been blocked repeatedly.
Solution: Hir Infotech deployed a multi-portal data collection system across four major Australian property platforms, using rotating residential proxy infrastructure to maintain reliable access. Our pipelines extracted, normalized, and cross-referenced property data daily — delivering a unified, clean dataset via PostgreSQL-compatible API with full suburb and postcode geographic tagging.
Results:
- 1.2 million+ active property listings collected and structured daily
- Data freshness improved to 24-hour refresh cycles across all Australian states
- Time-to-market for the client’s MVP reduced by 4 months (replacing a planned in-house build)
- Platform secured $3.2M seed funding six months after launch, with proprietary data infrastructure cited by investors
Client Testimonial: “Hir Infotech made our data infrastructure possible. We went from zero to a production-ready property data pipeline in six weeks. Their team’s technical depth and willingness to solve genuinely hard collection problems made them feel like an extension of our own engineering team.” — Co-Founder & CTO, Sydney PropTech Startup
Client Background: A Paris-based B2B procurement intelligence platform serving procurement directors at large French and pan-European enterprises in the automotive, aerospace, and industrial manufacturing sectors.
Challenge: The client needed continuously updated supplier capability data, certifications, financial health signals, and contact information from thousands of European industrial suppliers across France, Italy, Spain, Germany, and the Netherlands — data that was highly fragmented across trade directories, company websites, and national business registries.
Solution: Hir Infotech designed a multi-country data collection orchestration covering 18 European data sources — including Kompass, national trade registers, and industry association portals. AI-driven entity resolution matched supplier records across sources to create unified, deduplicated profiles for 280,000+ European industrial suppliers, updated on a weekly basis with change detection and delta-delivery alerts.
Results:
- 280,000+ supplier profiles built and maintained continuously
- Data coverage expanded from 4 to 18 countries in a single engagement
- Procurement teams reported 52% reduction in supplier qualification research time
- Platform’s customer retention increased by 28% following the data quality improvement
Client Testimonial: “Our product was only as good as the supplier data behind it. Hir Infotech solved a data collection problem we had been struggling with for two years. Their multi-country, multi-source approach is genuinely unique — no other provider could match their European coverage.” — Chief Product Officer, Paris Procurement Platform
Client Background: A Boston-based life sciences analytics company providing competitive intelligence software to pharmaceutical and biotech R&D teams across the USA and Europe. Their platform required continuous collection of clinical trial data, drug approval filings, and scientific publication metadata.
Challenge: The client needed structured data from ClinicalTrials.gov, EudraCT, PubMed, FDA drug databases, and EMA approval portals — collected, normalized, and cross-referenced across entities like drug names, conditions, trial phases, and sponsor organizations. Manual curation had become unsustainable as their platform scaled.
Solution: Hir Infotech built a specialized life sciences data collection pipeline targeting 8 authoritative global healthcare data sources. Our AI models extracted and structured trial records, publication metadata, approval timelines, and competitor pipeline signals — then applied entity resolution to link drug names, INN codes, company identifiers, and therapeutic area classifications into a unified knowledge graph updated daily.
Results:
- 850,000+ clinical trial records structured and cross-referenced
- Data refresh latency reduced from weekly to daily updates
- Research team’s manual data curation effort reduced by 78%
- Platform added 4 new pharmaceutical enterprise clients within 6 months citing data quality
Client Testimonial: “In life sciences intelligence, data quality and timeliness are everything. Hir Infotech’s team understood the domain deeply — they didn’t just collect data, they understood what the data meant and structured it accordingly. The quality of their output exceeded anything we had built internally.” — Director of Data Products, Boston Life Sciences Analytics Company
Client Background: A Stockholm-based multi-category online retailer operating across Sweden, Denmark, Norway, and Finland, competing against both local players and pan-European e-commerce giants across consumer electronics, home goods, and fashion categories.
Challenge: The retailer’s category management team needed daily competitor catalog data — product titles, descriptions, attributes, pricing, promotional activity, and customer review scores — across 15 competitor domains. Existing manual monitoring was covering less than 5% of the competitive universe and producing unreliable data due to website structure changes.
Solution: Hir Infotech deployed a self-healing data collection architecture with adaptive crawlers that automatically detect and accommodate website structural changes. The solution covered 15 competitor domains across 5 Nordic countries, extracting 2.3 million product records daily with AI-powered attribute normalization mapping disparate competitor data schemas into a unified product taxonomy.
Results:
- Competitor product coverage increased from 5% to 94% of the known competitive universe
- Daily price monitoring automated across 2.3M product records
- Category managers reported 3x faster promotional response capability
- Identified 12 underpriced product categories within first 30 days — directly contributing to a 7.4% revenue uplift in those categories within one quarter
Client Testimonial: “We were essentially blind to our competition before Hir Infotech. Now we have a live view of everything happening in our market — pricing, promotions, new product launches — updated every day. The ROI was visible within the first month.” — Head of Category Management, Stockholm E-Commerce Retailer
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 Access the Web's Most Valuable Data — Compliantly and at Scale?
For 13+ years, Hir Infotech has been the trusted data collection partner for 2,745+ B2B companies across the USA, Europe, and Australia — delivering accurate, structured, and compliance-ready datasets that power smarter decisions, faster pipelines, and stronger competitive positions.
Whether you need a sample dataset to validate our quality, a pilot project to test a new use case, or a full-scale data intelligence partnership — we’re ready to deliver. Request your free sample dataset today and experience the Hir Infotech difference firsthand.
Hir Infotech — 13+ Years | 2,745+ Happy Clients | USA · Europe · Australia
Unlock Business Growth with Expert Data Collection Solutions
Benefits of Data Collection 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 exactly is B2B data collection, and how is it different from standard web scraping?
B2B data collection is the systematic process of identifying, extracting, structuring, validating, and delivering data from publicly accessible web sources to support specific business intelligence, lead generation, or operational objectives. Unlike generic web scraping — which simply pulls raw HTML — professional B2B data collection involves AI-powered extraction pipelines, schema-mapped output, multi-layer validation, GDPR/CCPA compliance frameworks, and delivery integrations. At Hir Infotech, data collection is a managed intelligence service, not a commodity utility — every engagement is designed around your business outcomes, data architecture, and compliance requirements.
How does Hir Infotech ensure data collection is GDPR-compliant for European clients?
GDPR compliance is embedded into every stage of our data collection workflows for EU clients. We collect only publicly available data with documented source URLs and collection timestamps, apply data minimization principles, exclude personal data fields where not required, provide complete lawful basis documentation packages, and generate full audit trail records. We stay continuously updated with GDPR enforcement developments including the EU Digital Omnibus proposal and EDPB’s 2026 coordinated enforcement program. Our compliance team works alongside your DPO to ensure every dataset meets both legal and organizational requirements before delivery.rpclegal+1
What industries do you serve with data collection services?
Hir Infotech serves 30+ industries with specialized data collection expertise, including: e-commerce and retail, financial services and fintech, pharmaceutical and life sciences, real estate and PropTech, travel and hospitality, automotive, industrial manufacturing, logistics and supply chain, HR technology, SaaS and B2B software, media and publishing, energy and utilities, and professional services. Our domain-specific collection pipelines are designed with industry-relevant data schemas, source coverage, and entity taxonomies — rather than generic, one-size-fits-all extraction tools.
How quickly can Hir Infotech deliver a custom data collection pipeline?
For standard use cases (competitive pricing, lead generation, market monitoring), our team can design, test, and deliver a production-ready data collection pipeline within 5–10 business days. Complex multi-source, multi-country, or custom-schema projects typically require 2–4 weeks for full deployment, including compliance review and integration testing. Urgent requirements can be fast-tracked through our priority engagement program. We provide transparent project timelines with milestone-level visibility so your stakeholders always know where the engagement stands.
Can you collect data from JavaScript-heavy or login-protected websites?
Yes. Hir Infotech’s technical infrastructure includes full headless browser rendering capabilities for JavaScript-rendered pages, single-page applications, and dynamically loaded content. For publicly accessible but heavily protected pages, our AI-powered anti-bot bypass technology handles proxy rotation, browser fingerprint management, and CAPTCHA resolution with high success rates. We do not collect data from password-protected, authenticated, or private environments — our services are strictly limited to publicly accessible web content, ensuring full legal compliance.
How is the data delivered, and in what formats?
We deliver structured data in your preferred format: JSON, CSV, XML, Excel, Parquet, or via direct database delivery (PostgreSQL, MySQL, MongoDB). For continuous pipelines, we offer REST API delivery, WebSocket streaming, SFTP file transfer, or direct cloud storage delivery to AWS S3, Google Cloud Storage, or Azure Blob Storage. Data schemas are custom-mapped to your internal taxonomy and field naming conventions — pre-formatted for direct ingestion into Salesforce, HubSpot, Snowflake, BigQuery, Redshift, Tableau, or your preferred analytics environment without intermediate transformation.
What is your data accuracy rate, and how do you ensure quality?
Hir Infotech maintains a 99.5%+ data accuracy guarantee across all collection pipelines through a three-layer quality assurance process: AI anomaly detection that flags records deviating from expected patterns, automated schema validation that enforces field-level data integrity rules, and human QA review for critical datasets and initial delivery milestones. Every dataset includes a quality summary report detailing extraction success rates, validation pass rates, and any flagged anomalies. If accuracy falls below agreed SLA thresholds, we re-collect and re-deliver at no additional cost.
Can data collection services integrate with our existing CRM and data stack?
Absolutely. Integration-ready delivery is a core part of every Hir Infotech engagement. Our technical team works with your data engineers to map extracted fields to your CRM schema (Salesforce, HubSpot, Zoho, Pipedrive, Microsoft Dynamics), data warehouse (Snowflake, BigQuery, Databricks, Redshift), or BI tool (Tableau, Power BI, Looker). We provide API documentation, sample payload schemas, and dedicated integration support to ensure your data flows are operational before the project closes — not after a painful self-service setup.
How do you handle website changes that might break data collection pipelines?
Website structural changes — updated HTML schemas, new navigation patterns, modified data attributes — are the most common cause of scraping failures with generic tools. Hir Infotech addresses this with self-healing pipeline architecture: AI models continuously monitor extraction success rates per data field, and when a break is detected, automated alerts trigger pipeline inspection within 30 minutes. Our engineering team resolves structural breakages within the same business day under standard SLA, or within 4 hours under our premium monitoring tier — ensuring continuous data delivery with minimal disruption.
What makes Hir Infotech different from using a freelancer or generic data marketplace?
Freelancers and generic data marketplaces provide commodity outputs — raw, unvalidated data without compliance documentation, integration support, SLA guarantees, or domain expertise. Hir Infotech delivers a managed intelligence service: dedicated data engineers, AI-powered validation, GDPR/CCPA compliance frameworks, custom schema delivery, direct system integrations, and contractual accuracy guarantees — all backed by 13+ years of enterprise experience and 2,745+ satisfied clients across three continents. For B2B organizations where data quality directly impacts revenue, compliance, and strategic decisions, the difference between a freelancer and Hir Infotech is the difference between a risk and a competitive advantage.