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 the Web Into Your Most Powerful Business Asset
Data Crawling
In 2026, the companies winning market share aren’t just collecting data — they’re crawling smarter. Hir Infotech delivers enterprise-grade AI-driven data crawling solutions trusted by 2,745+ clients across the USA, Europe, and Australia. With 13+ years of deep technical expertise and thousands of projects delivered across 52+ countries, we transform raw, unstructured web data into structured, decision-ready intelligence — at scale, on schedule, and in full compliance. Whether you’re a CTO in California, a CDO in Germany, or a Product Leader in Sydney, Hir Infotech is your trusted data crawling partner.
3,752+
Projects Delivered
2,745+
Happy Clients
2,745+
Happy Clients
99.5%
Data Accuracy
52+
Countries Served
Why Data Crawling Is the Backbone of Modern B2B Intelligence
In today's hyper-competitive digital economy, access to real-time, structured external data is no longer a luxury — it is a baseline operational requirement. B2B enterprises across the USA, UK, Germany, France, Netherlands, Sweden, Austria, Switzerland, Spain, Italy, Denmark, Iceland, and Australia rely on systematic data crawling to monitor competitor activity, track price shifts, enrich product catalogs, and surface emerging market trends before rivals do. Manual data collection is simply not scalable: a single enterprise-grade crawling operation can monitor millions of web pages daily, delivering consistent, clean, and structured data directly into your BI dashboards, CRMs, or data lakes. At Hir Infotech, our AI-driven crawling infrastructure handles JavaScript-heavy pages, dynamic content, login-gated sources, and complex pagination — the exact challenges that defeat generic tools and in-house scripts. Serving clients from San Francisco to Stockholm, Frankfurt to Melbourne, our team combines 13+ years of domain expertise with modern machine learning crawlers to deliver data pipelines that are accurate, compliant, and built to last.
- Enterprise Web Crawling at Scale: High-performance, AI-assisted crawlers that systematically index and extract structured data from millions of URLs, ecommerce sites, directories, aggregators, and news platforms across the USA, Europe, and Australia — with zero downtime and full schema enforcement.
- JavaScript & Dynamic Page Crawling: Headless browser crawling using Playwright and Puppeteer-based pipelines to extract data from React, Angular, and Vue-rendered pages — ensuring no data is missed regardless of front-end technology stack.
- GDPR & CCPA-Compliant Data Collection: All crawling operations are architected to respect robots.txt, rate limits, and regional data compliance frameworks including GDPR (EU/UK), CCPA (California), and Australia’s Privacy Act — delivering peace of mind alongside precision data.
- Real-Time & Scheduled Data Crawling Pipelines: Configurable crawl frequencies — from real-time streaming to daily, weekly, or event-triggered cycles — delivered via REST API, JSON, CSV, or direct database integration to fit your existing tech stack.
Hir Infotech Crawling Capabilities
Hir Infotech’s AI-powered crawling infrastructure is purpose-built for mid-market and enterprise B2B operations, combining intelligent automation, compliance architecture, and human QA oversight to deliver structured data you can act on immediately.
AI-Adaptive Crawlers
Self-healing crawlers that automatically detect and adapt to website structure changes, DOM updates, and anti-bot mechanisms — ensuring 99.5%+ uptime and data continuity without manual intervention.
Structured Data Extraction & Schema Enforcement
Every crawl delivers output in validated, pre-defined schemas — JSON, CSV, XML, or direct database feeds — with built-in data quality checks, deduplication, and field-level validation before delivery.
Proxy Rotation & Geo-Targeting
Enterprise-grade rotating proxy networks with geo-specific IP pools across the USA, EU, UK, and Australia, enabling compliant, anonymous, large-scale data collection from region-locked or geo-sensitive sources.
Cloud-Native, Scalable Architecture
Fully cloud-hosted crawling infrastructure on AWS and GCP, with elastic scaling to handle 10M+ page crawls per day — no hardware investment, no capacity ceiling, and 24/7 monitoring by our dedicated data engineering team.
Trusted by leading brands
Popular Data Crawling Use Cases and Websites for B2B Enterprises
Long-Tail Benefits and Why Hir Infotech Leads in AI-Driven Data Crawling
Scalable, Compliant Data Crawling Services for Enterprise Growth in the USA and Europe
As regulatory complexity grows and data volumes explode, enterprise B2B leaders increasingly seek managed data crawling partners rather than building brittle in-house solutions. The average Fortune 500 enterprise today processes millions of external data points daily — from competitive pricing signals to supply chain monitoring, regulatory change tracking, and lead enrichment. Building and maintaining this infrastructure internally demands significant engineering resources and continuous attention to anti-bot countermeasures, compliance updates, and schema maintenance. Hir Infotech eliminates this burden entirely. Our fully managed AI-driven data crawling service handles everything from initial crawler architecture and proxy management to QA validation, schema enforcement, and delivery — so your data team can focus on analysis, not infrastructure. With clients across 52+ countries, including major enterprises in the USA, Germany, UK, France, Netherlands, Sweden, and Australia, we bring tested, proven crawling pipelines that simply work — at scale, on schedule, and within budget.
Why B2B Leaders in the USA, UK, Germany, and Australia Choose Hir Infotech for Data Crawling:
- Zero-maintenance, fully managed crawlers that self-heal when websites change
- GDPR, CCPA, and Australia Privacy Act compliance built into every project
- Delivery formats compatible with Salesforce, HubSpot, Snowflake, BigQuery, and all major BI platforms
- Dedicated project managers, data QA engineers, and compliance advisors on every engagement
AI-Powered Web Crawling Solutions for Real-Time Market Intelligence Across Europe
For B2B companies competing across fragmented European markets — from the UK and Germany to Spain, Italy, Denmark, and Iceland — the ability to access real-time, localized web data is a decisive competitive advantage. Traditional data providers offer static, stale datasets that don’t capture the velocity of price changes, competitor product launches, or shifting regulatory content. Hir Infotech’s AI-driven crawling pipelines are engineered for real-time extraction across multi-language, region-locked European websites, using geo-targeted IP pools, language-aware parsers, and country-specific compliance protocols. Our crawlers adapt dynamically to local website structures, currency formats, and content patterns — delivering unified, normalized datasets that power pricing intelligence engines, market entry analysis, compliance monitoring, and lead enrichment programs across all major European markets. With 13+ years of experience serving global clients and an 87% client retention rate, Hir Infotech is the preferred data crawling partner for enterprises that cannot afford data gaps, downtime, or compliance risk.
Long-Tail Services We Deliver Across Europe:
- Real-time price monitoring crawling for e-commerce businesses in Germany, France, and Spain
- Job market intelligence crawling from European job boards (StepStone, InfoJobs, Jobindex Denmark)
- Property listing data crawling from Rightmove (UK), Funda (Netherlands), and Hemnet (Sweden)
- Regulatory and government portal crawling for compliance monitoring across EU member states
Industry We Serve
Case Studies — Real Results from Real B2B Clients
Client Background:
A mid-market US-based multi-category e-commerce retailer with over 200,000 SKUs and operations across 14 US states, competing directly with Amazon, Walmart, and Target in consumer electronics and home goods.
Challenge:
The client’s pricing team was manually tracking competitor prices using browser extensions and spreadsheets — a process that covered fewer than 5% of their SKU base and introduced 48–72 hour pricing lag. They were losing margin on high-velocity products where competitors adjusted prices multiple times daily.
Solution:
Hir Infotech deployed a fully managed AI-driven web crawling pipeline that continuously monitored 32 competitor domains, extracting price, stock availability, promotional tags, and delivery timelines for 210,000+ SKUs at 6-hour intervals. The structured data was delivered directly to the client’s dynamic pricing engine via REST API.
Results:
Within 90 days, the client achieved a 14% improvement in gross margin on high-competition SKUs, reduced pricing lag from 72 hours to under 4 hours, and expanded competitor coverage from 5% to 97% of their active catalog. The crawling infrastructure scaled from 210,000 to 380,000 SKUs within six months with zero engineering effort from the client’s team.
Client Testimonial:
“Hir Infotech’s data crawling service transformed our pricing operation. We went from guessing to knowing — in real time. The ROI was visible within the first quarter.”
— VP of Pricing Strategy, US E-Commerce Retailer
Client Background:
A B2B SaaS company headquartered in London, UK, providing HR workflow automation software to mid-market enterprises across the UK, Germany, and the Netherlands, with an SDR team of 18 targeting 3,000 new accounts per quarter.
Challenge:
The sales team relied on a static CRM database that was 14–18 months out of date. Key contact records were stale — job titles had changed, companies had merged, and decision-makers had moved on. The SDR team reported a 60%+ bounce rate on outbound sequences, wasting budget and eroding sender reputation.
Solution:
Hir Infotech built a continuous crawling and data enrichment pipeline targeting LinkedIn company profiles, company websites, and industry directories across the UK and DACH region. The pipeline delivered weekly-refreshed contact records — including verified job titles, direct emails, company size, funding status, and technology stack signals — directly into the client’s HubSpot CRM.
Results:
Email bounce rates dropped from 62% to under 8% within 60 days. The SDR team’s connect rate increased by 31%, and quarterly pipeline generation grew by 44%. The client expanded the crawling program to cover France and Spain within four months of deployment.
Client Testimonial:
“Our CRM went from a liability to our most valuable sales asset. Hir Infotech’s crawling cadence keeps our data fresh, and the HubSpot integration made it seamless.”
— Head of Revenue Operations, UK SaaS Company
Client Background:
A Berlin-based PropTech startup providing investment analytics and property valuation tools to institutional real estate investors across Germany, Austria, and Switzerland.
Challenge:
The client needed continuous, structured property listing data — rental prices, square footage, location coordinates, energy ratings, and market days — from 12 German property portals including Immobilienscout24, Immonet, and Immowelt. Existing data providers offered weekly batch exports at high cost, with no granularity at the micro-location level.
Solution:
Hir Infotech deployed a daily crawling pipeline across all 12 target portals, extracting 40+ structured data fields per listing, with geo-enrichment (lat/long mapping) and GDPR-compliant processing built in. Data was normalized across portal formats and delivered to the client’s PostgreSQL data warehouse via nightly automated loads.
Results:
The client’s valuation model accuracy improved by 22%, powered by daily price signals versus weekly. Time-to-insight for investment committee reports dropped from 5 days to 4 hours. The startup used this data infrastructure as a key differentiator in securing €4.2M in Series A funding.
Client Testimonial:
“Having daily, structured, compliant property data from across Germany’s fragmented portal landscape gave us an edge no competitor could match. Hir Infotech delivered beyond expectations.”
— Co-Founder & CTO, Berlin PropTech Startup
Client Background:
A Paris-headquartered insurance group offering health, life, and property products to consumers and SMEs across France, Belgium, Italy, and Spain. The strategy team needed continuous competitive intelligence on product pricing, coverage terms, and promotional offers from 28 competitor insurers.
Challenge:
Competitor insurance product pages frequently updated pricing, excess structures, and coverage limits — sometimes weekly. The strategy team’s quarterly manual review process was too slow to inform product positioning or campaign launches, resulting in missed market opportunities and outdated pricing assumptions.
Solution:
Hir Infotech built a multi-language web crawling system capable of parsing French, Italian, and Spanish insurance product pages, extracting structured pricing tables, coverage breakdowns, and promotional callouts on a weekly automated cadence. Custom change-detection logic flagged significant pricing or product changes for immediate alert to the strategy team.
Results:
The client reduced competitive analysis cycle time from 90 days to 7 days, enabling 4x faster product response to market pricing changes. The team identified a 12% pricing gap on health products in the Italian market, leading to a targeted repricing campaign that grew Italian health policy sales by 19% in two quarters.
Client Testimonial:
“The competitive crawling program gave our strategy team a live dashboard of the market. We stopped reacting and started anticipating. Hir Infotech is a true data partner.”
— Chief Strategy Officer, French Insurance Group
Client Background:
A Sydney-based online marketplace connecting Australian consumers with local and international electronics, sporting goods, and homewares brands — with over 85,000 active SKUs from 1,200 supplier partners.
Challenge:
Approximately 34% of product listings lacked complete attribute data — missing dimensions, specifications, material details, or secondary images. Incomplete listings reduced search visibility, increased return rates, and depressed conversion. Manually filling data gaps for 29,000+ products was estimated to take 18 months with the existing team.
Solution:
Hir Infotech designed a crawling and extraction pipeline targeting supplier brand websites, manufacturer PDFs, and wholesale directory portals across Australia and Asia-Pacific. The pipeline extracted, cleaned, and normalized 22 structured product attributes per SKU and delivered enriched data directly into the client’s product database via API.
Results:
Catalog completeness improved from 66% to 97% within 11 weeks. Organic search impressions grew by 28% as richer product data improved Google Shopping and site search relevance. Return rates dropped by 11% due to more accurate product descriptions, and average order value increased by 7%.
Client Testimonial:
“Our catalog went from an incomplete patchwork to a conversion engine. Hir Infotech’s crawling team was fast, thorough, and deeply professional throughout.”
— Head of Marketplace Operations, Sydney E-Commerce Platform
Client Background:
A Chicago-based HR analytics SaaS platform providing workforce planning and talent market intelligence tools to Fortune 500 HR leaders across the USA, UK, and Canada.
Challenge:
The platform’s talent intelligence product required continuous, structured job posting data from 40+ job boards and employer career pages to power salary benchmarking, skills demand tracking, and hiring velocity analytics. Their existing third-party data feed was 3–5 days behind, lacked company-level granularity, and missed emerging skills taxonomy changes in real time.
Solution:
Hir Infotech built a real-time job crawling pipeline covering 40 job boards (including Indeed, LinkedIn Jobs, Glassdoor, ZipRecruiter, and 36 niche sector boards) plus 500 direct employer career pages. Structured outputs included job title, seniority, required skills, compensation range, location, and posting date — delivered via streaming API with under 6-hour data latency.
Results:
Data latency reduced from 72 hours to under 6 hours. Job posting coverage increased by 340%. The client launched a new “Real-Time Skills Demand” product module within six months of deploying the crawling pipeline, contributing to a 27% increase in platform ARR.
Client Testimonial:
“Hir Infotech’s crawling infrastructure became the data foundation of our most successful new product. The speed, coverage, and reliability are genuinely best-in-class.”
— Chief Product Officer, US HR Analytics Platform
Client Background:
An Amsterdam-based RegTech firm delivering automated compliance monitoring tools to financial services clients across the Netherlands, Germany, Denmark, and Sweden, tracking regulatory updates from 120+ European regulatory bodies and government portals.
Challenge:
Regulatory portals across EU member states publish updates in multiple languages, inconsistent formats, and without standardized notification mechanisms. The firm’s compliance analysts were spending 60% of their time manually checking portals for updates rather than interpreting and acting on them — a process that still missed 15–20% of material changes.
Solution:
Hir Infotech deployed a multilingual regulatory crawling system covering 120 EU regulatory portals in Dutch, German, Danish, Swedish, French, and English. The pipeline used change-detection algorithms to identify new publications, amendments, and consultations, extracting structured metadata (date, regulator, topic, jurisdiction) and delivering alerts to the client’s compliance platform within 2 hours of publication.
Results:
Manual monitoring time dropped by 78%. Regulatory update coverage increased from 80% to 99.2%. The firm’s client churn rate fell by 23% as compliance officers reported dramatically improved confidence in the comprehensiveness of their monitoring. The solution was recognized as a finalist at the 2025 European RegTech Awards.
Client Testimonial:
“Hir Infotech solved one of RegTech’s hardest problems — comprehensive, real-time regulatory crawling across 12 jurisdictions and 6 languages. Their team’s expertise is unmatched.”
— CEO, Amsterdam RegTech Firm
Case Studies — Real Results from Real B2B Clients
Client Background:
A mid-market US-based multi-category e-commerce retailer with over 200,000 SKUs and operations across 14 US states, competing directly with Amazon, Walmart, and Target in consumer electronics and home goods.
Challenge:
The client’s pricing team was manually tracking competitor prices using browser extensions and spreadsheets — a process that covered fewer than 5% of their SKU base and introduced 48–72 hour pricing lag. They were losing margin on high-velocity products where competitors adjusted prices multiple times daily.
Solution:
Hir Infotech deployed a fully managed AI-driven web crawling pipeline that continuously monitored 32 competitor domains, extracting price, stock availability, promotional tags, and delivery timelines for 210,000+ SKUs at 6-hour intervals. The structured data was delivered directly to the client’s dynamic pricing engine via REST API.
Results:
Within 90 days, the client achieved a 14% improvement in gross margin on high-competition SKUs, reduced pricing lag from 72 hours to under 4 hours, and expanded competitor coverage from 5% to 97% of their active catalog. The crawling infrastructure scaled from 210,000 to 380,000 SKUs within six months with zero engineering effort from the client’s team.
Client Testimonial:
“Hir Infotech’s data crawling service transformed our pricing operation. We went from guessing to knowing — in real time. The ROI was visible within the first quarter.”
— VP of Pricing Strategy, US E-Commerce Retailer
Client Background:
A B2B SaaS company headquartered in London, UK, providing HR workflow automation software to mid-market enterprises across the UK, Germany, and the Netherlands, with an SDR team of 18 targeting 3,000 new accounts per quarter.
Challenge:
The sales team relied on a static CRM database that was 14–18 months out of date. Key contact records were stale — job titles had changed, companies had merged, and decision-makers had moved on. The SDR team reported a 60%+ bounce rate on outbound sequences, wasting budget and eroding sender reputation.
Solution:
Hir Infotech built a continuous crawling and data enrichment pipeline targeting LinkedIn company profiles, company websites, and industry directories across the UK and DACH region. The pipeline delivered weekly-refreshed contact records — including verified job titles, direct emails, company size, funding status, and technology stack signals — directly into the client’s HubSpot CRM.
Results:
Email bounce rates dropped from 62% to under 8% within 60 days. The SDR team’s connect rate increased by 31%, and quarterly pipeline generation grew by 44%. The client expanded the crawling program to cover France and Spain within four months of deployment.
Client Testimonial:
“Our CRM went from a liability to our most valuable sales asset. Hir Infotech’s crawling cadence keeps our data fresh, and the HubSpot integration made it seamless.”
— Head of Revenue Operations, UK SaaS Company
Client Background:
A Berlin-based PropTech startup providing investment analytics and property valuation tools to institutional real estate investors across Germany, Austria, and Switzerland.
Challenge:
The client needed continuous, structured property listing data — rental prices, square footage, location coordinates, energy ratings, and market days — from 12 German property portals including Immobilienscout24, Immonet, and Immowelt. Existing data providers offered weekly batch exports at high cost, with no granularity at the micro-location level.
Solution:
Hir Infotech deployed a daily crawling pipeline across all 12 target portals, extracting 40+ structured data fields per listing, with geo-enrichment (lat/long mapping) and GDPR-compliant processing built in. Data was normalized across portal formats and delivered to the client’s PostgreSQL data warehouse via nightly automated loads.
Results:
The client’s valuation model accuracy improved by 22%, powered by daily price signals versus weekly. Time-to-insight for investment committee reports dropped from 5 days to 4 hours. The startup used this data infrastructure as a key differentiator in securing €4.2M in Series A funding.
Client Testimonial:
“Having daily, structured, compliant property data from across Germany’s fragmented portal landscape gave us an edge no competitor could match. Hir Infotech delivered beyond expectations.”
— Co-Founder & CTO, Berlin PropTech Startup
Client Background:
A Paris-headquartered insurance group offering health, life, and property products to consumers and SMEs across France, Belgium, Italy, and Spain. The strategy team needed continuous competitive intelligence on product pricing, coverage terms, and promotional offers from 28 competitor insurers.
Challenge:
Competitor insurance product pages frequently updated pricing, excess structures, and coverage limits — sometimes weekly. The strategy team’s quarterly manual review process was too slow to inform product positioning or campaign launches, resulting in missed market opportunities and outdated pricing assumptions.
Solution:
Hir Infotech built a multi-language web crawling system capable of parsing French, Italian, and Spanish insurance product pages, extracting structured pricing tables, coverage breakdowns, and promotional callouts on a weekly automated cadence. Custom change-detection logic flagged significant pricing or product changes for immediate alert to the strategy team.
Results:
The client reduced competitive analysis cycle time from 90 days to 7 days, enabling 4x faster product response to market pricing changes. The team identified a 12% pricing gap on health products in the Italian market, leading to a targeted repricing campaign that grew Italian health policy sales by 19% in two quarters.
Client Testimonial:
“The competitive crawling program gave our strategy team a live dashboard of the market. We stopped reacting and started anticipating. Hir Infotech is a true data partner.”
— Chief Strategy Officer, French Insurance Group
Client Background:
A Sydney-based online marketplace connecting Australian consumers with local and international electronics, sporting goods, and homewares brands — with over 85,000 active SKUs from 1,200 supplier partners.
Challenge:
Approximately 34% of product listings lacked complete attribute data — missing dimensions, specifications, material details, or secondary images. Incomplete listings reduced search visibility, increased return rates, and depressed conversion. Manually filling data gaps for 29,000+ products was estimated to take 18 months with the existing team.
Solution:
Hir Infotech designed a crawling and extraction pipeline targeting supplier brand websites, manufacturer PDFs, and wholesale directory portals across Australia and Asia-Pacific. The pipeline extracted, cleaned, and normalized 22 structured product attributes per SKU and delivered enriched data directly into the client’s product database via API.
Results:
Catalog completeness improved from 66% to 97% within 11 weeks. Organic search impressions grew by 28% as richer product data improved Google Shopping and site search relevance. Return rates dropped by 11% due to more accurate product descriptions, and average order value increased by 7%.
Client Testimonial:
“Our catalog went from an incomplete patchwork to a conversion engine. Hir Infotech’s crawling team was fast, thorough, and deeply professional throughout.”
— Head of Marketplace Operations, Sydney E-Commerce Platform
Client Background:
A Chicago-based HR analytics SaaS platform providing workforce planning and talent market intelligence tools to Fortune 500 HR leaders across the USA, UK, and Canada.
Challenge:
The platform’s talent intelligence product required continuous, structured job posting data from 40+ job boards and employer career pages to power salary benchmarking, skills demand tracking, and hiring velocity analytics. Their existing third-party data feed was 3–5 days behind, lacked company-level granularity, and missed emerging skills taxonomy changes in real time.
Solution:
Hir Infotech built a real-time job crawling pipeline covering 40 job boards (including Indeed, LinkedIn Jobs, Glassdoor, ZipRecruiter, and 36 niche sector boards) plus 500 direct employer career pages. Structured outputs included job title, seniority, required skills, compensation range, location, and posting date — delivered via streaming API with under 6-hour data latency.
Results:
Data latency reduced from 72 hours to under 6 hours. Job posting coverage increased by 340%. The client launched a new “Real-Time Skills Demand” product module within six months of deploying the crawling pipeline, contributing to a 27% increase in platform ARR.
Client Testimonial:
“Hir Infotech’s crawling infrastructure became the data foundation of our most successful new product. The speed, coverage, and reliability are genuinely best-in-class.”
— Chief Product Officer, US HR Analytics Platform
Client Background:
An Amsterdam-based RegTech firm delivering automated compliance monitoring tools to financial services clients across the Netherlands, Germany, Denmark, and Sweden, tracking regulatory updates from 120+ European regulatory bodies and government portals.
Challenge:
Regulatory portals across EU member states publish updates in multiple languages, inconsistent formats, and without standardized notification mechanisms. The firm’s compliance analysts were spending 60% of their time manually checking portals for updates rather than interpreting and acting on them — a process that still missed 15–20% of material changes.
Solution:
Hir Infotech deployed a multilingual regulatory crawling system covering 120 EU regulatory portals in Dutch, German, Danish, Swedish, French, and English. The pipeline used change-detection algorithms to identify new publications, amendments, and consultations, extracting structured metadata (date, regulator, topic, jurisdiction) and delivering alerts to the client’s compliance platform within 2 hours of publication.
Results:
Manual monitoring time dropped by 78%. Regulatory update coverage increased from 80% to 99.2%. The firm’s client churn rate fell by 23% as compliance officers reported dramatically improved confidence in the comprehensiveness of their monitoring. The solution was recognized as a finalist at the 2025 European RegTech Awards.
Client Testimonial:
“Hir Infotech solved one of RegTech’s hardest problems — comprehensive, real-time regulatory crawling across 12 jurisdictions and 6 languages. Their team’s expertise is unmatched.”
— CEO, Amsterdam RegTech Firm
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 Put the Web's Most Valuable Data to Work for Your Business?
Hir Infotech has helped 2,745+ B2B clients across the USA, Europe, and Australia transform raw web data into competitive advantage — with 13+ years of proven enterprise delivery, 3,752+ projects completed, and an 87% client retention rate.
Stop making decisions on incomplete, outdated information. Let us build your custom data crawling pipeline — compliant, accurate, and delivery-ready in days, not months.
Try our data crawling service risk-free. Tell us your target sources and data schema — we’ll deliver a structured sample dataset at zero cost so you can see the quality before you commit.
Unlock Business Growth with Expert Data Crawling Solutions
Key Benefits of Data Crawling 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 data crawling, and how is it different from web scraping?
Data crawling is the systematic, automated process of navigating web pages to discover and index content across a website or set of URLs — similar to how search engine bots index the web. Web scraping then extracts specific structured data from those crawled pages. In enterprise practice, both are combined: crawlers discover and visit URLs at scale, while extractors pull structured fields (price, title, contact, review, etc.) from each page. Hir Infotech manages the complete pipeline — crawling, extraction, cleaning, and delivery — as a single managed service.
How do you ensure your data crawling is GDPR-compliant for European clients?
All Hir Infotech crawling projects targeting European data sources are designed with GDPR compliance as a foundational requirement, not an afterthought. This includes strict robots.txt adherence, crawl-rate throttling to avoid server disruption, collection limited to publicly available non-personal data, documented data lineage for audit purposes, and contractual Data Processing Agreements (DPAs) for all relevant engagements. Clients in Germany, Netherlands, France, Sweden, Denmark, Austria, and other EU markets receive region-specific compliance documentation as standard.
Can you crawl JavaScript-heavy, dynamically rendered websites?
Yes. The majority of modern enterprise-grade websites render content via JavaScript frameworks such as React, Angular, or Vue — making traditional static crawlers ineffective. Hir Infotech’s crawling infrastructure uses headless browser technology (Playwright, Puppeteer) to fully render JavaScript before extraction, ensuring 100% data capture from single-page applications, infinite scroll pages, AJAX-loaded content, and login-gated portals where permissible.
How fast can you deliver data, and what formats are supported?
Crawling frequency and delivery speed are fully configurable based on your business requirements — from real-time streaming to hourly, daily, weekly, or event-triggered pipelines. Data is delivered in any format you need: JSON, CSV, XML, XLSX, SQL database push, or direct API feed. For clients integrating with Salesforce, HubSpot, Snowflake, BigQuery, or Tableau, we provide pre-mapped, schema-ready data loads that minimize integration effort on your end.
What industries do you serve with data crawling services?
Hir Infotech delivers data crawling solutions across a broad range of B2B industries including e-commerce and retail, financial services and insurance, real estate and PropTech, healthcare and life sciences, technology and SaaS, HR analytics and recruitment, travel and hospitality, media and publishing, manufacturing and supply chain, and legal and compliance (RegTech). We serve clients across the USA, UK, Germany, France, Netherlands, Sweden, Austria, Switzerland, Spain, Italy, Denmark, Iceland, and Australia.
How do you handle websites that use anti-bot protection or CAPTCHAs?
Enterprise websites increasingly deploy anti-bot measures including CAPTCHA challenges, browser fingerprinting, IP rate limiting, and behavioral detection. Hir Infotech’s crawling infrastructure uses enterprise-grade rotating proxy networks with geo-targeted IP pools, intelligent request throttling, and browser fingerprint randomization to navigate these protections within legal and ethical boundaries — ensuring continuous, uninterrupted data delivery even from heavily protected sources.
Can your data crawling service scale to millions of pages per day?
Yes. Hir Infotech’s cloud-native crawling architecture on AWS and GCP is built for elastic horizontal scaling. We routinely handle crawling programs covering 5M to 50M+ page requests per day for enterprise clients in e-commerce, real estate, HR analytics, and financial services. There is no fixed capacity ceiling — infrastructure scales automatically with demand, ensuring consistent performance during peak crawl windows without any action required from your team.
How do you measure and guarantee data quality?
Data quality at Hir Infotech is enforced through a multi-layer quality assurance process: schema validation at the point of extraction, automated deduplication, field-level completeness checks, outlier detection for numeric fields (e.g., pricing anomalies), and human QA review on all new projects and major structural changes. We target and consistently deliver 99.5%+ structured data accuracy. Clients receive quality reports with each delivery cycle, and our SLAs include data accuracy guarantees with resolution commitments for any quality issues identified.
What is the typical time-to-delivery for a new data crawling project?
For standard crawling projects — e-commerce, directories, job boards, business listings — Hir Infotech typically delivers a working prototype within 5–7 business days and full production deployment within 10–14 business days. Complex projects involving multi-language European portals, login-gated sources, or large-scale crawling programs (50+ domains) are scoped individually, with project timelines agreed upfront. All projects begin with a free sample delivery so you can validate data quality before committing to a full engagement.
How does Hir Infotech differentiate from generic data marketplaces and freelancers?
Generic data marketplaces sell pre-built, static datasets that age quickly and rarely match your exact schema needs. Freelancers lack the infrastructure, compliance governance, and scalability for enterprise-grade programs. Hir Infotech provides fully managed, custom-built crawling pipelines that are tailored to your specific sources, schemas, delivery formats, and compliance requirements — with a dedicated team, 24/7 monitoring, self-healing automation, and 13+ years of enterprise delivery experience. Our 87% client retention rate and 2,745+ satisfied clients across 52 countries reflect the difference in outcomes.