
Unlock crucial business data by mastering website anti-scraping. Our 2026 guide covers proven strategies from IP rotation to headless browsers...
For over 13 years, Hir Infotech has helped more than 2,745 businesses across the USA, Europe, and Australia gain a decisive competitive edge by delivering precision-engineered, AI-driven purchase intent data scraping solutions. In 2026’s hyper-competitive B2B landscape, knowing who is ready to buy — before they raise their hand — is the difference between leading a market and chasing it. Hir Infotech extracts, processes, and delivers real-time purchase intent signals at enterprise scale, enabling CTOs, CDOs, and Revenue Leaders to act on data intelligence that closes pipelines faster, smarter, and more profitably.
12,000+
Intent Topics Monitored
97.5%
Data Accuracy Rate
2,745+
Happy Clients
13+
Years of Expertise
14+
Countries Served
In today's enterprise environment, waiting for buyers to find you is a losing strategy. Purchase intent data scraping is the process of using AI-powered automation to continuously monitor, extract, and analyze buyer behavioral signals across the web — from content consumption and search patterns to competitor research and technology adoption events — giving your sales and marketing teams a real-time map of who is actively in-market right now. Across the USA, the UK, Germany, France, the Netherlands, Sweden, and Australia, forward-thinking B2B organizations are replacing spray-and-pray outreach with intent-qualified pipelines, achieving measurable results including 38% more closed deals per quarter and shorter sales cycles across every major vertical. Hir Infotech sits at the intersection of AI-driven web scraping infrastructure and enterprise data intelligence, delivering purchase intent signals that are accurate, compliant, and ready to act on across every major CRM, marketing automation, and ABM platform.
Hir Infotech deploys enterprise-grade AI scraping infrastructure to extract purchase intent signals from millions of data touchpoints daily, across static, dynamic, and API-based sources in real time.
Hir Infotech’s ML models distinguish casual content browsing from active vendor evaluation by analyzing engagement depth, topic frequency, and behavioral velocity — so your team acts only on high-confidence, in-market signals.
Every scraped intent record is enriched with firmographic data (industry, company size, revenue, tech stack), contact-level decision-maker profiles, and buying-stage classification — from awareness through decision — before delivery.
Our scraping engines continuously crawl B2B content networks, review platforms, industry directories, job boards, funding announcement sites, and social signals across the USA, Europe, and Australia, updating your intent intelligence every 2–4 hours.
Hir Infotech operates a purpose-built compliance layer covering GDPR Article 6(1)(f) legitimate interest, CCPA opt-out processing, AU Privacy Act compliance, and automated Data Processing Agreements (DPA) for every enterprise client in Europe.
Scraping G2 Crowd (Global) for real-time buyer activity — including competitor product comparisons, review engagement, and category research — enables SaaS sales teams in the USA, UK, and DACH region to identify accounts actively evaluating rival products and intercept them mid-funnel with precision outreach.
LinkedIn (Global) hiring announcements for roles like “Marketing Operations Manager” or “Head of Data” are powerful purchase intent proxies. Hir Infotech scrapes and structures these signals for B2B companies in Germany, France, and Australia to identify companies actively investing in the exact technology categories they sell into.
Crunchbase and TechCrunch (Global) funding announcements are primary purchase intent indicators. Companies that close Series B+ rounds are statistically in-market for enterprise tools within 90 days. Hir Infotech automates the extraction and enrichment of this data for USA and European sales teams.
Clutch (USA/Global) and Capterra (Global) buyer review activity reveals which companies are actively evaluating vendors in your category. Hir Infotech extracts reviewer profiles, firmographic data, and recency signals for IT, marketing, and operations services for B2B firms across Spain, Italy, and the Netherlands.
Bombora’s B2B cooperative data network (Global) covers 5,000+ B2B publisher sites. Hir Infotech builds custom intent scraping pipelines that mirror cooperative-style topic surge monitoring for mid-market companies that cannot afford full Bombora licensing, delivering equivalent intent intelligence at a fraction of the cost.
Indeed (USA), Reed (UK), and Stepstone (Germany/Austria) job postings are rich intent signals. A company hiring for “Salesforce Administrator” or “Data Governance Lead” is actively evaluating or implementing enterprise platforms. Hir Infotech extracts, classifies, and delivers these signals daily to ABM teams across Europe.
Trustpilot (UK/Europe) and Google Business (Global) review monitoring reveals when prospects are actively vocalizing dissatisfaction with incumbent vendors — one of the highest-confidence purchase intent signals. Hir Infotech structures this data for win-back and competitive displacement campaigns in Sweden, Denmark, and Iceland.
Industry conference registration pages (Global) — including Web Summit, SaaStr Europe, and Gartner Data & Analytics Summit — contain intent-rich attendee signals. Hir Infotech extracts publicly available attendee and sponsor data to help enterprise sales teams in Switzerland, Austria, and France time outreach around peak buying intent windows.
TED (Tenders Electronic Daily – EU) and SAM.gov (USA) are authoritative purchase intent goldmines for enterprise vendors. Hir Infotech scrapes active procurement tenders across EU member states and US federal agencies, delivering structured, enriched opportunity data to business development teams targeting public sector contracts.
Purchase intent data scraping is not just a lead generation tactic — it is a revenue acceleration infrastructure. Hir Infotech’s AI-powered purchase intent data platform aggregates behavioral signals from over 8,200 source types across 2,340 industry verticals, processing millions of data events daily to surface the accounts most likely to convert. For enterprise B2B teams in the USA, UK, and Germany, this translates directly to pipeline efficiency: companies using intent-qualified outreach see 47% better conversion rates and generate 43% larger average deal sizes compared to traditional prospecting methods. With Hir Infotech, your sales team never again wastes a single outreach touchpoint on a cold, unqualified account.
Compliant, Human-Verified, and Built for European Markets
One of the most critical gaps in the European B2B market is the near-total absence of GDPR-compliant, locally sourced intent data. Most US-origin intent platforms rely on bidstream data that fails to meet GDPR Article 6 requirements, leaving European ABM and demand generation teams with a trickle of legally usable signals. Hir Infotech addresses this directly: our European intent scraping operations are built on non-bidstream, consent-aware, first-party signal methodologies, fully compliant with GDPR in the UK, Germany, France, Italy, Spain, Denmark, Netherlands, Iceland, Austria, Sweden, and Switzerland. Every intent dataset delivered to European clients includes a Data Processing Agreement (DPA), legitimate interest documentation, and Article 14 notification support — making Hir Infotech the only intent data scraping partner your legal and compliance team will approve without hesitation.
Client Background: A Series C B2B SaaS company in Austin, Texas, offering cloud-based project management software for mid-market enterprises with an average deal size of $80,000+.
Challenge: The company’s outbound sales team of 22 reps was spending 65% of their time on manual prospecting, targeting accounts that showed no active buying signals. Pipeline velocity was stagnant, conversion rates were declining, and the cost of customer acquisition had risen 31% year-over-year.
Solution: Hir Infotech deployed a custom purchase intent data scraping pipeline monitoring 340 intent topics across G2, Capterra, LinkedIn job postings, TechCrunch funding alerts, and 14 industry-specific content networks. Data was enriched with contact-level decision-maker profiles and delivered directly into their Salesforce instance via a real-time API connector, updating every four hours.
Results: Within 90 days, the client’s sales team reduced time spent on prospecting from 65% to 22%. Pipeline velocity increased by 58%, with average deal cycles shortening by 19 days. The conversion rate from first outreach to demo improved by 44%, and the company closed its largest enterprise deal to date within the first 60 days of using intent-led signals.
Client Testimonial: “Hir Infotech didn’t just give us data — they gave us timing. We’re now reaching buyers exactly when they’re evaluating solutions. Our reps feel like they have a superpower.” — VP of Sales, B2B SaaS, Austin, TX
Client Background: A mid-sized industrial automation manufacturer based in Munich, Germany, looking to expand into the logistics technology vertical across the DACH region (Germany, Austria, Switzerland).
Challenge: The company had no existing pipeline in the logistics sector and lacked both GDPR-compliant contact data and purchase intent signals for their target accounts. Their previous data provider had been flagged by their legal team for potential GDPR non-compliance.
Solution: Hir Infotech built a fully GDPR-compliant intent data scraping operation covering TED procurement tenders, German-language industry media, trade conference registration data from Hannover Messe and LogiMAT, LinkedIn hiring signals, and Stepstone job board postings. All data was processed under legitimate interest documentation and delivered with full DPA support.
Results: Within six months, the client identified 318 accounts actively in-market for automation solutions. Their business development team converted 27 of these accounts into active opportunities, generating €2.3M in new pipeline. Legal sign-off was obtained in under two weeks due to Hir Infotech’s pre-built compliance documentation.
Client Testimonial: “For the first time, we could pursue European intent data without our legal team shutting it down. Hir Infotech’s compliance framework was a genuine competitive advantage for us.” — CDO, Industrial Automation Company, Munich
Client Background: A Sydney-based fintech company offering AI-powered treasury management software to mid-market CFOs across Australia and New Zealand.
Challenge: The marketing team was running broad-reach demand generation campaigns with high CPLs and low signal-to-noise ratios. They needed a way to identify CFOs and finance leaders actively researching treasury automation solutions without expensive intent data subscriptions.
Solution: Hir Infotech developed a custom scraping pipeline across Australian financial media, ASX company announcements, LinkedIn signals for “Treasury Manager” and “Head of Finance” roles, Capterra category research behavior, and Australian Government Procurement Gateway tender listings. Intent signals were enriched with ABN-validated firmographics and delivered into their HubSpot CRM.
Results: Customer acquisition cost (CAC) dropped by 40% within the first quarter. The marketing team reduced paid media spend by 28% while simultaneously increasing MQL-to-SQL conversion rates by 52%. The company’s sales team booked 3x more qualified discovery calls from the same headcount.
Client Testimonial: “We went from casting a wide net to using a surgical approach. Hir Infotech’s intent data changed how our entire GTM team operates.” — CMO, FinTech Company, Sydney
Client Background: A London-based B2B HR technology and workforce analytics consultancy targeting CHROs and People Operations leaders at enterprise companies with 1,000+ employees.
Challenge: The company struggled to differentiate outreach timing. Their BDR team was contacting prospects indiscriminately, resulting in low reply rates and a bloated sales cycle averaging 9 months.
Solution: Hir Infotech deployed a UK-specific intent scraping pipeline covering Glassdoor employer branding activity, Reed.co.uk HR leadership hiring signals, Trustpilot competitor reviews, HR Tech conference (CIPD Annual Conference) session registration data, and LinkedIn content engagement analytics for CHRO-level executives across the FTSE 350.
Results: The client’s outreach reply rate increased from 4% to 17% within eight weeks. The average sales cycle shortened from 9 months to 5.5 months. Over 12 months, the firm closed 12 net-new enterprise accounts directly attributable to intent-led prospecting, representing £4.1M in new ARR.
Client Testimonial: “The quality of intent signals from Hir Infotech is unlike anything we’ve seen from off-the-shelf providers. It felt like insider information — but completely above board.” — Head of Revenue, HR Tech Consultancy, London
Client Background: A Paris-based B2B e-commerce platform connecting retailers with wholesale suppliers across France, Belgium, and Spain.
Challenge: The platform’s growth team needed to identify retailers actively searching for wholesale supply chain solutions but lacked the tools to separate casual browsers from genuine buyers. They had tried two intent data vendors and found the European coverage insufficient and non-GDPR-compliant.
Solution: Hir Infotech built a French-language-first intent scraping pipeline monitoring BFM Business content engagement, French e-commerce trade media, procurement portal data from the French government’s BOAMP platform, LinkedIn signals, and Trustpilot competitor review activity in France, Belgium, and Spain. All data was delivered in French-language-structured formats with EU-compliant consent documentation.
Results: The sales team identified 210 high-intent retailer accounts in the first 60 days. Sales cycle length decreased by 34%, and the MQL volume increased by 67% without increasing marketing budget. The platform onboarded 34 new wholesale partnerships in the quarter following implementation.
Client Testimonial: “Hir Infotech understood the European market in a way no other data provider had. The GDPR compliance piece alone made them worth every euro.” — Growth Director, B2B E-Commerce Platform, Paris
Client Background: An Amsterdam-based cybersecurity software vendor targeting IT Directors and CISOs at enterprise companies across the Benelux region and Scandinavia.
Challenge: The company’s sales team was struggling to identify mid-funnel buyers in a market where decision-making committees are large and buying cycles can exceed 12 months. Cold outreach response rates had fallen below 2%.
Solution: Hir Infotech designed a Benelux and Scandinavian-specific purchase intent scraping pipeline covering Dutch IT media (Computable.nl), CISO community forums, LinkedIn “Head of Information Security” hiring signals, NIS2 Directive compliance content engagement, Gartner peer insights for cybersecurity categories, and tender data from TED across the Netherlands, Denmark, and Sweden.
Results: Qualified pipeline doubled within two quarters. Outreach response rates increased from 2% to 11%, and the average deal size increased by 29% as reps engaged with accounts at the evaluation stage rather than the awareness stage. The company attributed €1.8M in new pipeline directly to intent-led prospecting.
Client Testimonial: “We now know who is ready to talk before we make a single call. Hir Infotech’s intent data is the most operationally useful dataset we’ve ever licensed.” — CISO Sales Director, Cybersecurity Vendor, Amsterdam
Client Background: A healthcare technology company in Chicago, Illinois, offering AI-powered clinical workflow software to hospital systems and health networks across the USA.
Challenge: Healthcare is a heavily regulated, long-cycle B2B market. The company’s demand generation team had no reliable way to identify health system decision-makers actively researching clinical workflow solutions among the noise of 6,000+ US hospital systems.
Solution: Hir Infotech deployed a healthcare-specific intent scraping pipeline monitoring HIMSS (Healthcare Information and Management Systems Society) content engagement, Becker’s Hospital Review readership signals, SAM.gov federal healthcare procurement tenders, LinkedIn “Chief Medical Information Officer” and “VP of Clinical Operations” hiring activity, and Capterra clinical software research behavior.
Results: Demo request volume increased by 71% within the first quarter, with zero increase in paid media spend. The marketing team’s cost per demo fell by 44%. The company’s ABM team identified 89 health systems actively evaluating clinical workflow software and prioritized outreach accordingly, converting 19 into active pipeline opportunities.
Client Testimonial: “In healthcare, timing is everything. Hir Infotech’s intent data gave us the ability to show up when hospital leadership was actually paying attention.” — VP of Marketing, Healthcare Technology, Chicago
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:
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 mid-sized industrial automation manufacturer based in Munich, Germany, looking to expand into the logistics technology vertical across the DACH region (Germany, Austria, Switzerland).
Challenge: The company had no existing pipeline in the logistics sector and lacked both GDPR-compliant contact data and purchase intent signals for their target accounts. Their previous data provider had been flagged by their legal team for potential GDPR non-compliance.
Solution: Hir Infotech built a fully GDPR-compliant intent data scraping operation covering TED procurement tenders, German-language industry media, trade conference registration data from Hannover Messe and LogiMAT, LinkedIn hiring signals, and Stepstone job board postings. All data was processed under legitimate interest documentation and delivered with full DPA support.
Results: Within six months, the client identified 318 accounts actively in-market for automation solutions. Their business development team converted 27 of these accounts into active opportunities, generating €2.3M in new pipeline. Legal sign-off was obtained in under two weeks due to Hir Infotech’s pre-built compliance documentation.
Client Testimonial: “For the first time, we could pursue European intent data without our legal team shutting it down. Hir Infotech’s compliance framework was a genuine competitive advantage for us.” — CDO, Industrial Automation Company, Munich
Client Background: A Sydney-based fintech company offering AI-powered treasury management software to mid-market CFOs across Australia and New Zealand.
Challenge: The marketing team was running broad-reach demand generation campaigns with high CPLs and low signal-to-noise ratios. They needed a way to identify CFOs and finance leaders actively researching treasury automation solutions without expensive intent data subscriptions.
Solution: Hir Infotech developed a custom scraping pipeline across Australian financial media, ASX company announcements, LinkedIn signals for “Treasury Manager” and “Head of Finance” roles, Capterra category research behavior, and Australian Government Procurement Gateway tender listings. Intent signals were enriched with ABN-validated firmographics and delivered into their HubSpot CRM.
Results: Customer acquisition cost (CAC) dropped by 40% within the first quarter. The marketing team reduced paid media spend by 28% while simultaneously increasing MQL-to-SQL conversion rates by 52%. The company’s sales team booked 3x more qualified discovery calls from the same headcount.
Client Testimonial: “We went from casting a wide net to using a surgical approach. Hir Infotech’s intent data changed how our entire GTM team operates.” — CMO, FinTech Company, Sydney
Client Background: A London-based B2B HR technology and workforce analytics consultancy targeting CHROs and People Operations leaders at enterprise companies with 1,000+ employees.
Challenge: The company struggled to differentiate outreach timing. Their BDR team was contacting prospects indiscriminately, resulting in low reply rates and a bloated sales cycle averaging 9 months.
Solution: Hir Infotech deployed a UK-specific intent scraping pipeline covering Glassdoor employer branding activity, Reed.co.uk HR leadership hiring signals, Trustpilot competitor reviews, HR Tech conference (CIPD Annual Conference) session registration data, and LinkedIn content engagement analytics for CHRO-level executives across the FTSE 350.
Results: The client’s outreach reply rate increased from 4% to 17% within eight weeks. The average sales cycle shortened from 9 months to 5.5 months. Over 12 months, the firm closed 12 net-new enterprise accounts directly attributable to intent-led prospecting, representing £4.1M in new ARR.
Client Testimonial: “The quality of intent signals from Hir Infotech is unlike anything we’ve seen from off-the-shelf providers. It felt like insider information — but completely above board.” — Head of Revenue, HR Tech Consultancy, London
Client Background: A Paris-based B2B e-commerce platform connecting retailers with wholesale suppliers across France, Belgium, and Spain.
Challenge: The platform’s growth team needed to identify retailers actively searching for wholesale supply chain solutions but lacked the tools to separate casual browsers from genuine buyers. They had tried two intent data vendors and found the European coverage insufficient and non-GDPR-compliant.
Solution: Hir Infotech built a French-language-first intent scraping pipeline monitoring BFM Business content engagement, French e-commerce trade media, procurement portal data from the French government’s BOAMP platform, LinkedIn signals, and Trustpilot competitor review activity in France, Belgium, and Spain. All data was delivered in French-language-structured formats with EU-compliant consent documentation.
Results: The sales team identified 210 high-intent retailer accounts in the first 60 days. Sales cycle length decreased by 34%, and the MQL volume increased by 67% without increasing marketing budget. The platform onboarded 34 new wholesale partnerships in the quarter following implementation.
Client Testimonial: “Hir Infotech understood the European market in a way no other data provider had. The GDPR compliance piece alone made them worth every euro.” — Growth Director, B2B E-Commerce Platform, Paris
Client Background: An Amsterdam-based cybersecurity software vendor targeting IT Directors and CISOs at enterprise companies across the Benelux region and Scandinavia.
Challenge: The company’s sales team was struggling to identify mid-funnel buyers in a market where decision-making committees are large and buying cycles can exceed 12 months. Cold outreach response rates had fallen below 2%.
Solution: Hir Infotech designed a Benelux and Scandinavian-specific purchase intent scraping pipeline covering Dutch IT media (Computable.nl), CISO community forums, LinkedIn “Head of Information Security” hiring signals, NIS2 Directive compliance content engagement, Gartner peer insights for cybersecurity categories, and tender data from TED across the Netherlands, Denmark, and Sweden.
Results: Qualified pipeline doubled within two quarters. Outreach response rates increased from 2% to 11%, and the average deal size increased by 29% as reps engaged with accounts at the evaluation stage rather than the awareness stage. The company attributed €1.8M in new pipeline directly to intent-led prospecting.
Client Testimonial: “We now know who is ready to talk before we make a single call. Hir Infotech’s intent data is the most operationally useful dataset we’ve ever licensed.” — CISO Sales Director, Cybersecurity Vendor, Amsterdam
Client Background: A healthcare technology company in Chicago, Illinois, offering AI-powered clinical workflow software to hospital systems and health networks across the USA.
Challenge: Healthcare is a heavily regulated, long-cycle B2B market. The company’s demand generation team had no reliable way to identify health system decision-makers actively researching clinical workflow solutions among the noise of 6,000+ US hospital systems.
Solution: Hir Infotech deployed a healthcare-specific intent scraping pipeline monitoring HIMSS (Healthcare Information and Management Systems Society) content engagement, Becker’s Hospital Review readership signals, SAM.gov federal healthcare procurement tenders, LinkedIn “Chief Medical Information Officer” and “VP of Clinical Operations” hiring activity, and Capterra clinical software research behavior.
Results: Demo request volume increased by 71% within the first quarter, with zero increase in paid media spend. The marketing team’s cost per demo fell by 44%. The company’s ABM team identified 89 health systems actively evaluating clinical workflow software and prioritized outreach accordingly, converting 19 into active pipeline opportunities.
Client Testimonial: “In healthcare, timing is everything. Hir Infotech’s intent data gave us the ability to show up when hospital leadership was actually paying attention.” — VP of Marketing, Healthcare Technology, Chicago
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.
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.
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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Your buyers are researching right now. Are you reaching them — or is your competitor?
Hir Infotech has delivered AI-powered data intelligence to 2,745+ businesses across the USA, Europe, and Australia for over 13 years. Our purchase intent data scraping solutions are custom-built for your industry, GDPR and CCPA compliant from day one, and delivered directly into your CRM in real time. Join hundreds of enterprise B2B teams who have replaced cold outreach with intent-led precision — and watch your pipeline transform.
Trusted by 2,745+ B2B teams across the USA, Europe, and Australia for 13+ years. Your competitors already know what intent data can do. Now it’s your turn.
Intent-qualified leads convert at 47% higher rates than traditionally sourced prospects. Hir Infotech’s purchase intent data ensures every outreach touchpoint reaches an account actively evaluating solutions in your category, eliminating wasted effort and accelerating time-to-close.
Every intent dataset delivered by Hir Infotech operates within a purpose-built compliance framework covering the EU, USA, and Australia. Clients receive DPA documentation, legitimate interest evidence, and Article 14 notification support — removing legal risk entirely.
Buyer intent evaporates within days. Hir Infotech delivers intent signals updated every 2–4 hours, ensuring your sales team always acts on current, live in-market behavior — never on outdated snapshots.
By engaging buyers during the active research phase rather than the awareness phase, Hir Infotech clients consistently report sales cycle reductions of 30–40%. Intent data compresses the middle of the funnel, moving accounts from consideration to decision faster.
Data appending is inseparable from data cleansing. Hir Infotech’s platform identifies and resolves duplicate records, standardises field formats, corrects misspellings, and normalises job titles and company names before appending new data — ensuring your CRM is not just enriched but structurally clean and reliable for reporting and analytics.
Organizations using AI-powered purchase intent data scraping reduce CAC by an average of 40% by eliminating cold outreach, reducing wasted ad spend, and focusing marketing resources exclusively on in-market accounts.
Intent data is delivered directly into Salesforce, HubSpot, Marketo, Pardot, Microsoft Dynamics, and custom data warehouses via structured API pipelines — enabling your revenue teams to act on signals in minutes, not days.
Hir Infotech’s intent scraping monitors competitor review platforms, G2 comparison pages, and competitor-brand keyword activity, identifying accounts actively evaluating your rivals so your team can intercept with precision displacement messaging.
Unlike firmographic-only targeting, Hir Infotech’s intent scraping identifies the specific decision-makers — CTOs, CDOs, Procurement Heads, Finance Directors — actively researching in each account, enabling hyper-personalized outreach at the buyer level.
With 43% larger average deal sizes and 38% more closed deals per quarter reported across intent-led sales programs, Hir Infotech’s purchase intent data delivers a clear, trackable ROI. Every signal delivered maps to a pipeline stage, making attribution transparent and CFO-ready.
At Hir Infotech, we offer flexible pricing models to power your data-driven success. Choose Subscription-Based Pricing for ongoing scraping needs with predictable costs, Pay-As-You-Go for one-off tasks billed by usage, Project-Based Flat Fees for tailored, end-to-end solutions, or Hourly Pricing for custom development and complex challenges. Whatever your budget or project scope, our expert team delivers cost-effective, high-quality web scraping solutions designed to fit your needs.
A one-time fee is charged for a specific project, regardless of volume or duration, based on scope and complexity.
Billed based on the time spent developing, running, or maintaining the scraper, often used for custom or consulting-heavy projects.
Charged based on actual usage, such as per request, per GB of bandwidth, or per page scraped, with no fixed commitment.
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.
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.
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.
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:
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.
Depending on your pricing model, we deliver results how and when you need them:
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.
Data appending is the process of enhancing your existing database records with missing or outdated information — such as email addresses, phone numbers, job titles, or firmographic details — by matching them against verified external data sources. Unlike web scraping, which involves extracting new data from websites, data appending starts with records you already own and fills the gaps to make them complete and actionable. For B2B organisations, this distinction matters because appending enriches known prospects and customers, while scraping builds net-new datasets from scratch.
Yes, when executed correctly. Hir Infotech operates a purpose-built compliance architecture across all European markets covering GDPR Article 6(1)(f) legitimate interest processing, non-bidstream data collection methodologies, automated Article 14 third-party data notifications, and full Data Processing Agreement (DPA) support for every client. Unlike US-origin intent platforms that often rely on legally questionable bidstream data in Europe, Hir Infotech’s European intent operations are 100% non-bidstream and consent-aware.
Hir Infotech’s standard enterprise onboarding for purchase intent data scraping takes 5–10 business days, depending on the complexity of the target account list, intent topic configuration, and CRM integration requirements. Once live, intent signals update every 2–4 hours, ensuring your sales and marketing teams have continuous access to real-time in-market buyer activity with zero data lag.
Hir Infotech delivers purchase intent data scraping solutions across SaaS, FinTech, Healthcare Technology, Industrial Manufacturing, E-Commerce, Cybersecurity, Professional Services, Logistics & Supply Chain, HR Technology, and Legal Technology — in the USA, UK, Germany, France, Italy, Spain, Netherlands, Sweden, Denmark, Iceland, Austria, Switzerland, and Australia. With 2,745+ global clients and 13+ years of experience, Hir Infotech has proven intent scraping infrastructure for virtually every B2B vertical.
Hir Infotech’s purchase intent data integrates natively with Salesforce, HubSpot, Marketo, Pardot, Microsoft Dynamics 365, Outreach, Salesloft, 6sense, Demandbase, and custom data warehouses via structured JSON/CSV API pipelines. Our data engineering team configures bi-directional syncing, custom field mapping, and lead scoring rules to ensure intent signals trigger the right workflows in your existing revenue stack without manual intervention.
ZoomInfo and Bombora offer intent data as a feature within broader subscription platforms, often at enterprise-level pricing inaccessible to mid-market companies, and with documented GDPR coverage gaps in Europe. Hir Infotech offers custom-built, white-glove purchase intent data scraping pipelines tailored to your specific ICP, industry, and geography — at mid-market pricing with full European GDPR compliance built in from day one. We deliver contact-level intent precision, not just account-level signals.
Absolutely. Hir Infotech’s multilingual scraping capabilities support intent signal extraction in German, French, Spanish, Italian, Dutch, Swedish, Danish, and other major European languages. Our NLP and AI enrichment pipelines are configured to classify, standardize, and deliver multilingual intent data in English-structured formats for global GTM teams, or in the native language for locally operating sales teams.
Based on outcomes across our client portfolio and industry benchmarks, B2B companies using Hir Infotech’s purchase intent data consistently see 47% higher lead conversion rates, 40% reduction in customer acquisition cost, 34–58% shorter sales cycles, and 43% larger average deal sizes. These figures compound: a company that improves conversion rate, deal size, and cycle speed simultaneously achieves exponential revenue impact, not incremental gains.
Yes. Hir Infotech offers a no-obligation free sample of purchase intent data specific to your target industry, geography, and ideal customer profile. The sample includes enriched account-level and contact-level intent records delivered in your preferred format (CSV, JSON, or direct CRM push), allowing your revenue team to evaluate signal quality, coverage depth, and data accuracy before any commercial commitment.
Hir Infotech maintains data accuracy through a four-layer quality assurance process: AI-powered signal classification, NLP-based topic relevance scoring, human verification for high-value account signals, and real-time deduplication and enrichment against 500M+ verified B2B firmographic records. Intent signals are refreshed every 2–4 hours, and every dataset delivered to enterprise clients undergoes accuracy auditing with a minimum 92% precision threshold before delivery.
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