Scrape company profiles, financial signals, director data, funding history, technology stacks, hiring velocity, and news signals from MCA21, Tracxn, Crunchbase, LinkedIn, and 50+ sources. Comprehensive B2B company intelligence for sales teams, investors, and market researchers.
Company data scraping is the automated collection of structured business intelligence from company registries, professional networks, funding databases, technology intelligence platforms, and business information sources. A complete company record is assembled from multiple source types: legal registration data from MCA21 or Companies House, funding and investor information from Tracxn or Crunchbase, employment estimates and growth signals from LinkedIn, technology stack intelligence from job postings and website analysis, news coverage and sentiment from media monitoring, and customer review data from platforms like G2 or Glassdoor.
No single source contains a complete company record. MCA21 has authoritative legal data — CIN, incorporation date, registered address, director identities, share capital, and filed financials — but limited commercial intelligence. LinkedIn has headcount signals and team structure data but no legal or financial detail. Crunchbase and Tracxn have startup funding data but limited coverage of bootstrapped or SME businesses. DataFlirt's multi-source company data scraping assembles all of these dimensions into a unified company profile that is more complete and accurate than any single platform can provide.
For Indian companies specifically, MCA21 and its associated databases are the authoritative source for legal and financial intelligence — but extracting this at scale requires navigating the Ministry of Corporate Affairs portal's access patterns, handling PDF annual reports, and normalising inconsistently formatted company names across filings. DataFlirt has deep experience with MCA21 data extraction and normalisation, making Indian company intelligence a particular strength.
Technology stack detection is a distinct and increasingly valuable dimension of company data. The technologies a company uses are visible through job postings (which mention required tech skills), website source code analysis (revealing frontend frameworks, analytics tools, and CDN providers), and third-party intelligence platforms. This technographic data is directly actionable for B2B technology sales — enabling sellers to target only companies using specific platforms, programming languages, or vendor stacks.
Comprehensive extraction built for reliability, accuracy, and scale.
Extract CIN, incorporation date, company type, registered address, authorised capital, paid-up capital, and MCA filing history for any Indian registered company.
Scrape director names, DINs, designations, appointment dates, other directorships, and publicly available contact signals.
Collect funding rounds, amounts, investors, valuations, and funding stage from Tracxn, Crunchbase, AngelList, and news-based funding intelligence.
Identify technologies companies use — frameworks, cloud providers, CRM, analytics tools — from job postings, website analysis, and technology intelligence platforms.
Monitor job posting volume by company over time as a proxy for growth, investment, and strategic direction changes.
Collect website URL, domain age, web technology stack, SEO signals, monthly traffic estimates, and social media profile links.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "status": "success", "source": "mca21_zaubacorp", "scraped_at": "2025-03-20T10:00:00Z", "company": { "cin": "U72900KA2015PTC082757", "name": "Swiggy (Bundl Technologies Pvt Ltd)", "type": "Private Limited", "incorporated": "2013-01-26", "state": "Karnataka", "employees_est":5800, "funding_usd_m":3600, "last_round": "IPO", "directors": 6, "active_charges":2 } }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Purpose-built MCA21 scrapers extract company master data, all filed documents, director-company links, and charge details with full historical depth.
CIN, domain URL, company name, and director DIN used as matching keys to link records across MCA21, Tracxn, LinkedIn, and news sources.
Job posting skill mentions, website HTML analysis, and technology intelligence platforms combined to build accurate tech stack profiles.
MCA21-filed annual reports extracted from PDF into structured financials — revenue, EBITDA, PAT, and balance sheet line items.
Employee growth rate, funding recency score, job posting velocity, and news volume computed as derived signals on top of raw company data.
Company profiles refreshed weekly with updated funding, headcount, news, and filing data — keeping records current without full re-extraction.
From solo analysts to enterprise data teams — here's how organizations use this data.
Every B2B sales, investment, and strategy decision starts with knowing who you are targeting and what matters to them. DataFlirt assembles complete, current company intelligence from 50+ sources — legal registries, funding databases, professional networks, job boards, and news — into unified profiles that give sales teams, investors, and researchers the full picture they need to act with confidence.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
For growing teams with serious data requirements.
For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
