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 Revenue-Grade Intelligence — Since 2011
Data Supplier
Hir Infotech is a trusted global data supplier and AI-driven data intelligence company serving 2,745+ clients across the USA, Europe, and Australia. With 13+ years of hands-on expertise in web scraping, data extraction, and structured data delivery, we empower CTOs, CDOs, and data leaders at mid-market and enterprise companies to make faster, smarter, and more compliant decisions — fueled by accurate, continuously refreshed data at scale.
2,745+
Clients Served
52+
Countries Covered
500M+
Data Records Delivered
97.8%
Average Data Accuracy
13+
Years of Expertise
Why B2B Companies Choose a Specialist Data Supplier
In 2026, data is no longer just a business asset — it is the foundational infrastructure of competitive advantage. Enterprises that rely on stale, siloed, or unverified datasets lose pipeline, make poor hiring decisions, mis-time market entries, and spend millions on the wrong customers. A specialist data supplier like Hir Infotech ensures your revenue operations, marketing intelligence, and product development are continuously fuelled by accurate, structured, and compliance-grade data — sourced at scale and delivered in the format your systems require. For B2B companies operating across the USA, UK, Germany, France, Sweden, the Netherlands, Australia, and beyond, the need for a reliable data supplier has never been more critical. From firmographic and contact-level enrichment to real-time web data extraction and AI-powered classification, Hir Infotech delivers data intelligence that directly drives measurable outcomes.exellius+1
- AI-Powered Web Scraping & Extraction: Custom scraping pipelines that extract structured, clean data from any website at enterprise scale — including JavaScript-rendered pages, dynamic content, and protected sources — with near-zero downtime and 97.8%+ accuracy.
- B2B Data Enrichment & Appending: Augment your CRM or database with verified contact details, firmographics, technographics, and buyer intent signals, reducing your dead-data ratio and improving outreach precision for teams across the USA, Europe, and Australia.cognism+1
- Structured Dataset Delivery (DaaS): Receive clean, job-ready datasets via API, flat file, or cloud delivery on daily, weekly, or monthly schedules — pre-formatted for integration with Salesforce, HubSpot, Snowflake, BigQuery, and more.datamaticsbpm+1
- Compliance-Ready Data Governance: Every data set we supply is sourced, processed, and delivered in alignment with GDPR (EU/UK), CCPA (USA), and LGPD (Brazil) regulations — with full data lineage documentation available for enterprise audit requirements.pandectes+1
Our Data Intelligence Edge
Hir Infotech’s data supply infrastructure combines AI-native crawlers, real-time validation engines, and human QA layers to deliver enterprise-grade datasets that are accurate, current, and immediately actionable.linkedin+1
AI-Native Data Extraction Engine
Our proprietary AI parsers handle structured and unstructured data across 100,000+ domains — identifying, extracting, and normalizing information automatically, even on JavaScript-heavy or anti-bot-protected sites. Accuracy exceeds 97%.promptcloud+1
Real-Time & Scheduled Data Pipelines
Whether you need live data feeds for pricing intelligence or weekly refreshes for CRM enrichment, our pipeline infrastructure supports real-time, near-real-time, and batch delivery models with SLA-backed uptime guarantees.
Multi-Source Data Aggregation
We aggregate data from business directories, social platforms, government registries, industry databases, and e-commerce platforms across the USA, EU, UK, and Australia — then merge and deduplicate at scale for a single, unified intelligence layer.aisuperior+1
Compliance & Privacy-First Delivery
Every dataset we supply undergoes GDPR, CCPA, and platform-ToS compliance screening before delivery. We provide full data provenance records, opt-out suppression lists, and anonymization layers for regulated industries including finance, healthcare, and insurance.secureprivacy+1
Trusted by leading brands
Popular Data Supplier Use Cases & Platform Coverage
The Cost of Bad Data Is Measured in Millions — Not Percentages
Why Every Enterprise Needs a Compliant AI-Driven Data Supplier in 2026
The average enterprise loses an estimated 12–15% of annual revenue to poor data quality — through wasted outreach, mis-targeted campaigns, flawed forecasts, and failed integrations. In 2026, with privacy regulations tightening across California (CCPA updates), the EU (GDPR enforcement), and Australia (Privacy Act reforms), the risk of using non-compliant or stale data goes beyond revenue loss — it carries legal liability. Hir Infotech operates as a full-service, compliance-first data supplier, handling everything from source identification and extraction to normalization, validation, and structured delivery — so your internal teams focus on decisions, not data plumbing. Our clients in the USA, UK, Germany, France, the Netherlands, and Australia consistently report a 30–50% reduction in data operations costs after transitioning to our managed data supply model. With 13+ years of experience and 2,745+ clients served globally, we are the partner enterprises trust when data quality is non-negotiable.pandectes+2
AI-Driven Data Supplier Services for Sales, Marketing & Product Intelligence
Modern revenue teams — from SDRs and account executives to CMOs and product managers — depend on continuous, high-fidelity data to build pipeline, personalize at scale, and benchmark against competitors. As a specialist data supplier serving mid-market and enterprise clients across the USA, Europe (including Sweden, Denmark, Austria, Switzerland, Iceland, Italy, and Spain), and Australia, Hir Infotech delivers data that is directly mapped to commercial outcomes. Our AI-enriched datasets include firmographic depth (company revenue, employee count, growth signals), technographic intelligence (tech stack identification, platform adoption), intent signals (content consumption, hiring patterns, funding triggers), and verified contact data (direct dials, business emails, LinkedIn profiles) — all refreshed continuously and delivered integration-ready. Unlike generic data marketplaces or freelance scraping vendors, Hir Infotech operates dedicated quality pipelines with human-in-the-loop validation, giving enterprise customers the data governance, SLA accountability, and ISO-aligned security posture that compliance-conscious organizations demand in 2026.cognism+4
Industry We Serve
Real-World Success: Case Studies
Client Background:
A mid-market B2B SaaS company headquartered in Austin, Texas, providing workflow automation software for the logistics industry. Their GTM team of 45 SDRs and AEs was struggling to scale outbound prospecting beyond their existing contact database of ~180,000 records.
Challenge:
The team relied on a legacy data vendor whose contact accuracy had degraded to below 62%. Bounce rates on email campaigns were exceeding 28%, damaging sender reputation and reducing pipeline predictability. Leadership needed a fresh, continuously refreshed data supply strategy covering logistics, supply chain, and 3PL companies across the USA and Canada.
Solution:
Hir Infotech deployed a custom AI web scraping pipeline targeting 14 industry-specific business directories, LinkedIn-equivalent data sources, and logistics association membership portals. We delivered a structured dataset of 340,000+ verified decision-maker contacts — including direct emails, mobile numbers, LinkedIn URLs, firmographic tags, and technology stack data — segmented by company size, revenue band, and geographic region. The dataset was refreshed bi-weekly and delivered directly into their HubSpot CRM via API.brightdata+1
Results:
- Email bounce rate dropped from 28% to under 3.2%
- Outbound reply rate increased by 187% in 60 days
- SDR-qualified pipeline grew from $1.2M to $4.1M within one quarter
- Sales cycle shortened by 22% due to better buyer-fit targeting
Client Testimonial:
“Hir Infotech didn’t just give us a list — they gave us a verified, structured intelligence layer we could trust. Our SDR team now spends less than 20% of their time on data research vs. 60% before. The ROI was visible within the first month.” — VP of Revenue Operations, Austin-based SaaS Company
Client Background:
A pan-European retail group with operations in the UK, Germany, and the Netherlands, selling consumer electronics across Amazon, their proprietary DTC platform, and third-party marketplaces. Annual GMV exceeded €180M.
Challenge:
The group’s pricing team was manually monitoring competitor prices across 6 platforms for 12,000+ SKUs — a process that consumed 3 FTEs and still produced data that was 24–48 hours stale. They needed real-time price intelligence to power their dynamic pricing engine and margin protection strategy.
Solution:
Hir Infotech built a fully automated, AI-native price monitoring pipeline crawling competitor product pages, marketplace listings, and price comparison engines across the UK, Germany, and the Netherlands — 6 times per day. Data was cleaned, normalized, and delivered via a structured JSON API directly into their pricing engine. GDPR-compliant data handling protocols were applied throughout, with clear documentation of public data sourcing practices.usercentrics+1
Results:
- Pricing team headcount reallocated from monitoring to strategy (saving €240K/year in FTE cost)
- Margin leakage reduced by 18% through proactive price matching
- Revenue increased by 11% within two quarters via dynamic pricing optimization
- Data freshness improved from 48-hour lag to under 4-hour refresh cycles
Client Testimonial:
“Our pricing team now works with live intelligence. Hir Infotech’s pipeline has fundamentally changed how we compete in the European market — we’re no longer reacting to price changes, we’re predicting and leading them.” — Chief Product Officer, UK/Germany Retail Group
Client Background:
A MedTech company based in Boston, USA, with commercial operations expanding into France and Italy, selling diagnostic imaging solutions to hospitals, private clinics, and radiology practices.
Challenge:
Their sales team lacked a reliable, verified, and compliance-ready dataset of healthcare providers across target geographies. Existing lists were outdated, incomplete, and contained inaccurate NPI numbers and facility classifications — hampering both outbound prospecting and regulatory submissions.
Solution:
Hir Infotech delivered a structured healthcare provider dataset sourced from NPI registries (USA), RPPS (France), and PortaSanità directories (Italy) — cross-validated against hospital directories, insurance networks, and healthcare association membership lists. Each record included NPI/RPPS identifiers, specialty, facility type, direct contact, procurement lead, and geographic coordinates. Data was processed with HIPAA and GDPR safeguards applied.
Results:
- Coverage of 98,000+ verified healthcare provider contacts across USA, France, and Italy
- Sales cycle from prospecting to first meeting reduced by 34%
- Campaign open rates for the EU commercial team improved from 11% to 29%
- Compliance audit passed without exception — full data provenance documented
Client Testimonial:
“We needed data we could trust legally and commercially. Hir Infotech delivered a healthcare dataset that was not only accurate but fully documented for our compliance team. That combination is rare at enterprise scale.” — Director of Commercial Operations, Boston MedTech Company
Client Background:
An Australian FinTech scale-up based in Sydney, providing embedded finance and BNPL infrastructure to SMEs. Preparing for a Series B raise, the leadership team needed comprehensive competitive landscape data across Australia, New Zealand, and the UK.
Challenge:
The strategy team needed structured data on 200+ competitor FinTechs: funding history, product features, pricing models, geographic expansion signals, key hires, and customer reviews — assembled from 15+ disparate sources. Manual research was taking 6 weeks per competitive cycle.
Solution:
Hir Infotech built a custom competitive intelligence scraping pipeline aggregating data from Crunchbase-equivalent portals, LinkedIn company pages, app store reviews, press release wires, and regulatory filings (ASIC). We delivered a structured competitive database refreshed monthly, with AI-generated summary profiles for each competitor, mapped to the client’s product roadmap dimensions.aisuperior+1
Results:
- Competitive analysis cycle reduced from 6 weeks to 4 days
- Identified 3 whitespace opportunities that directly shaped Series B positioning
- Investor deck competitive section praised as “best in class” by lead VC
- Series B closed at AUD $34M — 40% above initial target
Client Testimonial:
“Hir Infotech gave us a competitive intelligence layer that would have taken an analyst team 3 months to build manually. It directly shaped our investor narrative and closed our round faster.” — CEO, Sydney-based FinTech
Client Background:
A Berlin-based PropTech company providing AI-driven property valuation and investment analytics to institutional investors and real estate funds across Germany, the Netherlands, and Austria.
Challenge:
Their valuation models required continuous ingestion of live property listings, rental price data, planning permission notices, and neighborhood analytics — sourced from 30+ regional property portals across three countries, in three languages. Existing scraping infrastructure was fragile and frequently blocked.
Solution:
Hir Infotech deployed a multi-lingual, AI-native scraping infrastructure across Immobilienscout24, Funda, Willhaben, and 27 additional regional portals — extracting, translating, normalizing, and delivering 120,000+ property records per week into the client’s Azure Data Lake. GDPR-compliant data handling covered all EU jurisdictions.pandectes+1
Results:
- Data pipeline uptime improved from 71% to 99.4%
- Valuation model accuracy improved by 23% due to fresher, more complete data inputs
- Platform expanded into Austria within 3 months, powered by Hir Infotech’s localized data feeds
- Reduced infrastructure cost by 38% vs. building and maintaining in-house scraping
Client Testimonial:
“Our valuation models live or die by data freshness. Hir Infotech’s team handled the multilingual complexity that had blocked us for 18 months. They delivered in 6 weeks what we couldn’t achieve in a year.” — CTO, Berlin PropTech Platform
Client Background:
A public sector consulting firm operating across the UK, France, and Denmark, specializing in digital transformation engagements with government bodies and NHS-affiliated organizations. Annual revenue: £28M.
Challenge:
The business development team was missing contract opportunities because tender notices from TED (EU), Find-A-Tender (UK), and BOAMP (France) were being manually monitored across 4 analysts — who still missed 30–40% of relevant notices due to volume and language barriers.
Solution:
Hir Infotech built an automated tender monitoring and extraction pipeline covering TED, Find-A-Tender, BOAMP, and Udbud (Denmark) — filtering by CPV codes, estimated contract value, buyer type, and deadline proximity. Structured alerts and weekly digests were delivered to the BD team in English, with original document links and AI-generated summaries.
Results:
- Tender capture rate increased from ~60% to 97%
- BD team identified 34 additional billable opportunities in the first 90 days
- Won 6 new government contracts worth a combined £4.2M within 6 months
- Analyst time on tender monitoring reduced by 80%
Client Testimonial:
“We were losing business simply because we didn’t know opportunities existed. Hir Infotech’s data pipeline changed that entirely. The ROI was immediate and measurable.” — Head of Business Development, UK Public Sector Consulting Firm
Client Background:
A Stockholm-based HR tech company offering AI-powered workforce analytics to enterprise clients across Sweden, Denmark, and Norway. Their platform helps CHROs and talent leaders benchmark compensation, track skill demand shifts, and predict attrition risk.
Challenge:
The platform required continuous ingestion of job posting data — titles, skills required, salaries, company, location, and seniority level — from 20+ Nordic and European job boards. Existing data was 3–4 weeks stale, rendering insights unreliable for enterprise clients who expected near-real-time workforce intelligence.
Solution:
Hir Infotech built a dedicated Nordic job board scraping pipeline covering Linkedin Jobs, StepStone, Jobindex (Denmark), Blocket Jobb (Sweden), and 16 additional platforms — extracting, normalizing, and classifying 85,000+ job postings weekly using NLP-based skill tagging and role classification. Delivered to the client’s AWS S3 pipeline with daily refresh cadence.linkedin+1
Results:
- Data freshness improved from 3–4 weeks to under 24 hours
- Platform NPS increased from 41 to 72 within two product cycles
- Three enterprise clients (inc. a FTSE 100 company) cited data quality as the primary factor in contract renewal
- Platform secured €8M Series A at 3× previous valuation
Client Testimonial:
“Our competitive edge is data freshness. Hir Infotech made that possible at a scale and reliability our in-house team simply couldn’t match. They are a genuine strategic partner, not just a vendor.” — CPO, Stockholm HR Tech Platform
Real-World Success: Case Studies
Client Background:
A mid-market B2B SaaS company headquartered in Austin, Texas, providing workflow automation software for the logistics industry. Their GTM team of 45 SDRs and AEs was struggling to scale outbound prospecting beyond their existing contact database of ~180,000 records.
Challenge:
The team relied on a legacy data vendor whose contact accuracy had degraded to below 62%. Bounce rates on email campaigns were exceeding 28%, damaging sender reputation and reducing pipeline predictability. Leadership needed a fresh, continuously refreshed data supply strategy covering logistics, supply chain, and 3PL companies across the USA and Canada.
Solution:
Hir Infotech deployed a custom AI web scraping pipeline targeting 14 industry-specific business directories, LinkedIn-equivalent data sources, and logistics association membership portals. We delivered a structured dataset of 340,000+ verified decision-maker contacts — including direct emails, mobile numbers, LinkedIn URLs, firmographic tags, and technology stack data — segmented by company size, revenue band, and geographic region. The dataset was refreshed bi-weekly and delivered directly into their HubSpot CRM via API.brightdata+1
Results:
- Email bounce rate dropped from 28% to under 3.2%
- Outbound reply rate increased by 187% in 60 days
- SDR-qualified pipeline grew from $1.2M to $4.1M within one quarter
- Sales cycle shortened by 22% due to better buyer-fit targeting
Client Testimonial:
“Hir Infotech didn’t just give us a list — they gave us a verified, structured intelligence layer we could trust. Our SDR team now spends less than 20% of their time on data research vs. 60% before. The ROI was visible within the first month.” — VP of Revenue Operations, Austin-based SaaS Company
Client Background:
A pan-European retail group with operations in the UK, Germany, and the Netherlands, selling consumer electronics across Amazon, their proprietary DTC platform, and third-party marketplaces. Annual GMV exceeded €180M.
Challenge:
The group’s pricing team was manually monitoring competitor prices across 6 platforms for 12,000+ SKUs — a process that consumed 3 FTEs and still produced data that was 24–48 hours stale. They needed real-time price intelligence to power their dynamic pricing engine and margin protection strategy.
Solution:
Hir Infotech built a fully automated, AI-native price monitoring pipeline crawling competitor product pages, marketplace listings, and price comparison engines across the UK, Germany, and the Netherlands — 6 times per day. Data was cleaned, normalized, and delivered via a structured JSON API directly into their pricing engine. GDPR-compliant data handling protocols were applied throughout, with clear documentation of public data sourcing practices.usercentrics+1
Results:
- Pricing team headcount reallocated from monitoring to strategy (saving €240K/year in FTE cost)
- Margin leakage reduced by 18% through proactive price matching
- Revenue increased by 11% within two quarters via dynamic pricing optimization
- Data freshness improved from 48-hour lag to under 4-hour refresh cycles
Client Testimonial:
“Our pricing team now works with live intelligence. Hir Infotech’s pipeline has fundamentally changed how we compete in the European market — we’re no longer reacting to price changes, we’re predicting and leading them.” — Chief Product Officer, UK/Germany Retail Group
Client Background:
A MedTech company based in Boston, USA, with commercial operations expanding into France and Italy, selling diagnostic imaging solutions to hospitals, private clinics, and radiology practices.
Challenge:
Their sales team lacked a reliable, verified, and compliance-ready dataset of healthcare providers across target geographies. Existing lists were outdated, incomplete, and contained inaccurate NPI numbers and facility classifications — hampering both outbound prospecting and regulatory submissions.
Solution:
Hir Infotech delivered a structured healthcare provider dataset sourced from NPI registries (USA), RPPS (France), and PortaSanità directories (Italy) — cross-validated against hospital directories, insurance networks, and healthcare association membership lists. Each record included NPI/RPPS identifiers, specialty, facility type, direct contact, procurement lead, and geographic coordinates. Data was processed with HIPAA and GDPR safeguards applied.
Results:
- Coverage of 98,000+ verified healthcare provider contacts across USA, France, and Italy
- Sales cycle from prospecting to first meeting reduced by 34%
- Campaign open rates for the EU commercial team improved from 11% to 29%
- Compliance audit passed without exception — full data provenance documented
Client Testimonial:
“We needed data we could trust legally and commercially. Hir Infotech delivered a healthcare dataset that was not only accurate but fully documented for our compliance team. That combination is rare at enterprise scale.” — Director of Commercial Operations, Boston MedTech Company
Client Background:
An Australian FinTech scale-up based in Sydney, providing embedded finance and BNPL infrastructure to SMEs. Preparing for a Series B raise, the leadership team needed comprehensive competitive landscape data across Australia, New Zealand, and the UK.
Challenge:
The strategy team needed structured data on 200+ competitor FinTechs: funding history, product features, pricing models, geographic expansion signals, key hires, and customer reviews — assembled from 15+ disparate sources. Manual research was taking 6 weeks per competitive cycle.
Solution:
Hir Infotech built a custom competitive intelligence scraping pipeline aggregating data from Crunchbase-equivalent portals, LinkedIn company pages, app store reviews, press release wires, and regulatory filings (ASIC). We delivered a structured competitive database refreshed monthly, with AI-generated summary profiles for each competitor, mapped to the client’s product roadmap dimensions.aisuperior+1
Results:
- Competitive analysis cycle reduced from 6 weeks to 4 days
- Identified 3 whitespace opportunities that directly shaped Series B positioning
- Investor deck competitive section praised as “best in class” by lead VC
- Series B closed at AUD $34M — 40% above initial target
Client Testimonial:
“Hir Infotech gave us a competitive intelligence layer that would have taken an analyst team 3 months to build manually. It directly shaped our investor narrative and closed our round faster.” — CEO, Sydney-based FinTech
Client Background:
A Berlin-based PropTech company providing AI-driven property valuation and investment analytics to institutional investors and real estate funds across Germany, the Netherlands, and Austria.
Challenge:
Their valuation models required continuous ingestion of live property listings, rental price data, planning permission notices, and neighborhood analytics — sourced from 30+ regional property portals across three countries, in three languages. Existing scraping infrastructure was fragile and frequently blocked.
Solution:
Hir Infotech deployed a multi-lingual, AI-native scraping infrastructure across Immobilienscout24, Funda, Willhaben, and 27 additional regional portals — extracting, translating, normalizing, and delivering 120,000+ property records per week into the client’s Azure Data Lake. GDPR-compliant data handling covered all EU jurisdictions.pandectes+1
Results:
- Data pipeline uptime improved from 71% to 99.4%
- Valuation model accuracy improved by 23% due to fresher, more complete data inputs
- Platform expanded into Austria within 3 months, powered by Hir Infotech’s localized data feeds
- Reduced infrastructure cost by 38% vs. building and maintaining in-house scraping
Client Testimonial:
“Our valuation models live or die by data freshness. Hir Infotech’s team handled the multilingual complexity that had blocked us for 18 months. They delivered in 6 weeks what we couldn’t achieve in a year.” — CTO, Berlin PropTech Platform
Client Background:
A public sector consulting firm operating across the UK, France, and Denmark, specializing in digital transformation engagements with government bodies and NHS-affiliated organizations. Annual revenue: £28M.
Challenge:
The business development team was missing contract opportunities because tender notices from TED (EU), Find-A-Tender (UK), and BOAMP (France) were being manually monitored across 4 analysts — who still missed 30–40% of relevant notices due to volume and language barriers.
Solution:
Hir Infotech built an automated tender monitoring and extraction pipeline covering TED, Find-A-Tender, BOAMP, and Udbud (Denmark) — filtering by CPV codes, estimated contract value, buyer type, and deadline proximity. Structured alerts and weekly digests were delivered to the BD team in English, with original document links and AI-generated summaries.
Results:
- Tender capture rate increased from ~60% to 97%
- BD team identified 34 additional billable opportunities in the first 90 days
- Won 6 new government contracts worth a combined £4.2M within 6 months
- Analyst time on tender monitoring reduced by 80%
Client Testimonial:
“We were losing business simply because we didn’t know opportunities existed. Hir Infotech’s data pipeline changed that entirely. The ROI was immediate and measurable.” — Head of Business Development, UK Public Sector Consulting Firm
Client Background:
A Stockholm-based HR tech company offering AI-powered workforce analytics to enterprise clients across Sweden, Denmark, and Norway. Their platform helps CHROs and talent leaders benchmark compensation, track skill demand shifts, and predict attrition risk.
Challenge:
The platform required continuous ingestion of job posting data — titles, skills required, salaries, company, location, and seniority level — from 20+ Nordic and European job boards. Existing data was 3–4 weeks stale, rendering insights unreliable for enterprise clients who expected near-real-time workforce intelligence.
Solution:
Hir Infotech built a dedicated Nordic job board scraping pipeline covering Linkedin Jobs, StepStone, Jobindex (Denmark), Blocket Jobb (Sweden), and 16 additional platforms — extracting, normalizing, and classifying 85,000+ job postings weekly using NLP-based skill tagging and role classification. Delivered to the client’s AWS S3 pipeline with daily refresh cadence.linkedin+1
Results:
- Data freshness improved from 3–4 weeks to under 24 hours
- Platform NPS increased from 41 to 72 within two product cycles
- Three enterprise clients (inc. a FTSE 100 company) cited data quality as the primary factor in contract renewal
- Platform secured €8M Series A at 3× previous valuation
Client Testimonial:
“Our competitive edge is data freshness. Hir Infotech made that possible at a scale and reliability our in-house team simply couldn’t match. They are a genuine strategic partner, not just a vendor.” — CPO, Stockholm HR Tech Platform
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 Power Your Business with Precision Data?
For over 13 years, Hir Infotech has helped 2,745+ clients across the USA, Europe, and Australia turn raw web data into revenue-grade intelligence. Whether you need B2B contact enrichment, competitive price monitoring, or a fully managed data supply pipeline — we deliver accuracy, compliance, and scale in one trusted partner.
Experience the quality of our data before you commit. Request a free sample dataset today — tailored to your industry, geography, and use case — and see why enterprise teams trust Hir Infotech as their preferred data supplier.
From Fortune 500 enterprises to fast-scaling startups — when data quality matters, Hir Infotech delivers.
Unlock Business Growth with Expert Data Supplier Solutions
Benefits of Working with Hir Infotech as Your Data Supplier
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 a data supplier, and how is Hir Infotech different from a standard data broker?
A data supplier is a specialist provider that sources, extracts, structures, and delivers datasets tailored to a client’s specific commercial requirements — as opposed to a data broker, who typically resells static, pre-compiled lists. Hir Infotech operates as a custom data supplier: we build bespoke extraction pipelines, apply AI enrichment, validate for accuracy, and deliver compliance-ready datasets mapped to your specific industry, geography, and use case. We don’t sell lists — we engineer data supply chains.promptcloud+1
How does Hir Infotech ensure compliance with GDPR, CCPA, and other data regulations?
Compliance is built into every stage of our data supply process. All data is sourced from publicly available sources within legal frameworks. For EU clients, we apply GDPR-compliant handling including data minimization, purpose limitation, and suppression list management. For USA clients, we operate in alignment with CCPA 2026 requirements including opt-out signal recognition and data provenance documentation. We can provide full compliance documentation for enterprise audit requirements.secureprivacy+2
What data delivery formats and integration options does Hir Infotech support?
We deliver data in all major formats: JSON, CSV, XML, Parquet, and via REST API or SFTP. Our datasets are pre-structured for direct integration with leading platforms including Salesforce, HubSpot, Marketo, Snowflake, BigQuery, Azure Data Lake, AWS S3, and Databricks. We work with your data engineering team to define schema requirements before delivery — ensuring zero post-delivery reformatting.
How quickly can Hir Infotech deliver a dataset after a project briefing?
For standard structured datasets from established sources, we typically deliver a sample within 24–48 hours and full production datasets within 3–7 business days. For complex, multi-source, or multi-language pipelines (e.g., across 5+ EU countries), project timelines are scoped during the discovery call — typically 2–4 weeks for full pipeline deployment with ongoing delivery thereafter.
What industries does Hir Infotech serve as a data supplier?
We serve 35+ industries including: B2B SaaS, FinTech, HealthTech, PropTech, E-Commerce & Retail, Manufacturing, Legal, Consulting, Public Sector, HR Tech, Insurance, Logistics, Pharma, Media & Publishing, and Market Research. Our vertical expertise allows us to design data supply architectures that reflect industry-specific data sources, compliance requirements, and commercial use cases.aisuperior+1
Can Hir Infotech handle multi-language data extraction across Europe?
Yes. Our AI-native extraction pipelines support multilingual data collection and normalization across all major European languages including German, French, Italian, Spanish, Dutch, Swedish, Danish, and Norwegian. Data is delivered in English (or bilingual format) with original language fields preserved where required. This capability is particularly valuable for pan-European market intelligence, competitive analysis, and regulatory monitoring use cases.
What level of data accuracy can enterprise clients expect?
Our standard SLA guarantees a minimum 95% data accuracy rate, with most production pipelines consistently delivering 97–98%+. Accuracy is maintained through a three-layer quality framework: AI-based extraction validation, automated cross-source verification, and human QA spot-checking. For high-stakes use cases (healthcare, finance, legal), we offer enhanced QA tiers with up to 99%+ accuracy commitments.promptcloud+1
How does Hir Infotech handle anti-scraping measures and data freshness?
Our AI-native crawlers are engineered to handle JavaScript rendering, CAPTCHAs, rate-limiting, and dynamic content loading — adapting automatically to site changes without manual intervention. For clients requiring high data freshness, we offer intraday refresh cycles. Unlike brittle legacy scrapers that break on site redesigns, our infrastructure includes automated change detection and self-healing mechanisms that maintain pipeline continuity.promptcloud+1
What is the typical ROI for companies using Hir Infotech as their data supplier?
ROI varies by use case, but clients consistently report: 30–50% reduction in data operations costs (vs. in-house), 15–40% improvement in outbound conversion rates from better-targeted contact data, 20–35% reduction in wasted ad spend from accurate audience segmentation, and significant time savings — often equivalent to 2–4 FTEs — through automated data delivery vs. manual research. We provide a free sample dataset so you can validate ROI before committing.cognism+1
Does Hir Infotech offer ongoing data supply contracts or one-time projects?
We offer both. One-time project engagements are available for specific market research, competitive analysis, or database building needs. For ongoing use cases (CRM enrichment, price monitoring, competitive intelligence, lead generation), we offer monthly and annual subscription models with SLA-backed delivery cadences, dedicated account management, and volume-based pricing. Enterprise clients typically benefit from annual contracts with flexible scope adjustments.