We extract company profiles, funding histories, investor portfolios, and M&A data from Crunchbase. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Company Profiles objects from crunchbase.com. All fields typed and schema-versioned.
"company_name": "DataFlirt", "domain": "dataflirt.com", "founded_date": "2021-04-12", "employee_count_min": 11, "employee_count_max": 50, "hq_location": "Bengaluru, Karnataka, India", "total_funding_usd": 4500000, "operating_status": "Active"
| # | company_name | domain | description | founded_date | employee_count_min | employee_count_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Funding Rounds objects from crunchbase.com. All fields typed and schema-versioned.
"transaction_name": "Series A - TechCorp", "announced_date": "2024-02-15", "money_raised": 12000000, "currency": "USD", "round_type": "Series A", "lead_investor": "Sequoia Capital", "investor_count": 4
| # | transaction_name | announced_date | money_raised | currency | round_type | lead_investor |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Investors objects from crunchbase.com. All fields typed and schema-versioned.
"investor_name": "Accel", "investor_type": "Venture Capital", "location": "Palo Alto, California", "total_investments": 1842, "lead_investments": 612, "exits": 345, "active_status": true
| # | investor_name | investor_type | location | investment_stage | total_investments | lead_investments |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Acquisitions objects from crunchbase.com. All fields typed and schema-versioned.
"acquiree_name": "StartupX", "acquirer_name": "MegaCorp", "announced_date": "2023-11-20", "price": 45000000, "currency": "USD", "acquisition_type": "Acquisition", "status": "Complete"
| # | acquiree_name | acquirer_name | announced_date | price | currency | acquisition_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Leadership objects from crunchbase.com. All fields typed and schema-versioned.
"person_name": "Jane Doe", "current_title": "Chief Technology Officer", "company_name": "DataFlirt", "past_roles": "['VP Engineering at TechCorp', 'Senior Engineer at StartupX']", "location": "Bengaluru, India", "linkedin_url": "https://linkedin.com/in/janedoe"
| # | person_name | current_title | company_name | past_roles | board_seats | education |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Crunchbase scraper handles the entire directory structure: company profiles, funding histories, and investor graphs — with JavaScript rendering and Datadome bypass built in.
Extract core firmographic data: founding date, employee counts, HQ location, operating status, and detailed industry taxonomies.
Capture every funding round, including announced date, money raised, round type, pre-money valuation, and participating investors.
Map investor profiles to their portfolio companies, tracking total investments, lead investments, exits, and preferred investment stages.
Monitor acquisition events, tracking acquirer, acquiree, transaction value, and acquisition type across the entire database.
Extract executive teams, founders, and board members, including their current titles, past roles, and professional social links.
Normalise Crunchbase category groups and specific tags into structured arrays for precise market segmentation.
Extract built-in third-party signals surfaced on Crunchbase profiles, including monthly visit estimates and active technology tools.
Track IPO dates, stock symbols, initial stock prices, and valuation metrics for public companies listed in the directory.
Configure continuous pipelines at daily or weekly cadences to capture new funding rounds and profile updates with change-detection diffing.
Brief in. Clean data out.
Provide target domains, investor names, or category filters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and Datadome bypass for crunchbase.com.
Schema validation, null-rate checks, and sample profile exports before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Crunchbase relies on Datadome and heavy client-side rendering. Here is how we maintain reliable extraction without IP bans.
Crunchbase uses Datadome to block automated traffic. We route requests through high-trust residential ISP proxies and spoof TLS fingerprints at the network layer, ensuring our crawlers appear as legitimate business users.
Instead of relying purely on fragile DOM selectors, our pipeline intercepts the underlying JSON state injected by the frontend framework. This provides cleaner, strictly typed data directly from the source.
Much of the data on Crunchbase loads asynchronously via GraphQL requests. We intercept these network payloads during Playwright execution to extract deep pagination results without rendering thousands of DOM nodes.
Aggressive scraping triggers temporary blocks. We distribute requests across a wide IP pool and implement randomised delays between page loads, adhering to safe concurrency limits while maintaining high overall throughput.
We normalise company domains and Crunchbase UUIDs to ensure downstream systems receive deduplicated records, even when multiple profile variants exist for the same entity.
Venture capital firms monitor new funding rounds and startup formations to identify early-stage investment opportunities before competitors.
Sales teams build targeted account lists based on recent funding events, employee count growth, and specific industry verticals.
Strategy teams analyse entire sectors, tracking capital flows and competitor density to identify underserved market segments.
Product teams track competitor funding, acquisition activity, and leadership changes to anticipate market movements.
Corporate development teams screen for potential acquisition targets based on funding stage, valuation estimates, and investor syndicates.
Analysts aggregate thousands of funding rounds to model macro trends in capital deployment across regions and technologies.
"Crunchbase holds the definitive graph of private market capital — but extracting it requires bypassing enterprise-grade bot protection and unravelling complex GraphQL states."
Most teams fail at scraping Crunchbase because they hit Datadome walls or struggle with the heavily obfuscated React DOM. DataFlirt manages the proxy rotation, TLS fingerprinting, and API interception required to extract clean company data at scale. You get structured JSON, we handle the infrastructure.
Everything supported by our crunchbase.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US/UK/EU regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About crunchbase.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated company, funding, and investor data. We do not extract personal contact information behind paywalls or circumvent authentication systems. Clients should review Terms of Service and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour. We monitor for block rate spikes in real time and trigger pool rotation automatically.
No. We only extract data that is publicly accessible on the platform without requiring a paid user session. This includes core firmographics, funding rounds, and investor profiles, but excludes proprietary contact data.
Pipelines can be configured to run daily or weekly. We track recently funded companies and updated profiles to ensure your warehouse reflects market changes within 24 hours of publication.
Yes. When we map a company profile, we extract the entire historical ledger of funding events available on the page, not just the most recent round.
Our smallest packages start at a defined list of 5,000 domains or specific category filters with weekly delivery. Contact us with your target parameters for a scoped quote.
We use Crunchbase UUIDs and domain normalisation to ensure records are deduplicated before delivery, providing a clean relational dataset.
Absolutely. We provide a sample run of up to 500 company profiles as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of a specific industry or a continuous feed of new funding rounds — we scope, build, and operate the pipeline. Tell us what you need.
