We extract company profiles, revenue estimates, competitor graphs, leadership details, and funding history from Owler. 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 owler.com. All fields typed and schema-versioned.
"company_id": "1948274", "company_name": "Stripe", "website": "stripe.com", "industry_sector": "Financial Services > Payments", "founded_year": 2010, "employee_count": 7000, "revenue_estimate": 14000000000, "company_status": "Private"
| # | company_id | company_name | website | industry_sector | founded_year | hq_address |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Competitor Graph objects from owler.com. All fields typed and schema-versioned.
"source_company_id": "1948274", "competitor_name": "Adyen", "competitor_domain": "adyen.com", "similarity_score": 94, "rank": 1, "overlap_category": "Payment Processing", "market_cap": 45000000000
| # | source_company_id | competitor_company_id | competitor_name | competitor_domain | similarity_score | rank |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Financials & Funding objects from owler.com. All fields typed and schema-versioned.
"company_id": "1948274", "total_funding": 8700000000, "latest_round_date": "2023-03-15", "latest_round_amount": 6500000000, "latest_round_type": "Series I", "valuation": 50000000000, "ipo_status": "Private"
| # | company_id | total_funding | latest_round_date | latest_round_amount | latest_round_type | investors |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Leadership & Ratings objects from owler.com. All fields typed and schema-versioned.
"company_id": "1948274", "ceo_name": "Patrick Collison", "ceo_rating": 88, "approval_pct": 92, "total_votes": 1432, "founder_names": "['Patrick Collison', 'John Collison']", "glassdoor_cross_rating": 4.1
| # | company_id | ceo_name | ceo_rating | approval_pct | total_votes | executive_team |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for News & Events objects from owler.com. All fields typed and schema-versioned.
"event_id": "EVT-938174", "company_id": "1948274", "event_type": "Funding", "date": "2023-03-15", "headline": "Stripe raises $6.5B at $50B valuation", "source_url": "techcrunch.com/stripe-funding", "impact_score": 9.5
| # | event_id | company_id | event_type | date | headline | source_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Owler scraper navigates Cloudflare protections and dynamic React hydration to extract accurate private company data, revenue estimates, and competitor relationships at scale.
Extract core firmographic data including industry taxonomy, employee counts, HQ locations, and founding years for millions of companies.
Capture Owler's crowdsourced revenue estimates, historical funding rounds, valuations, and acquisition details for private and public entities.
Map market landscapes by extracting ranked competitor lists, similarity scores, and overlapping sectors for any given company.
Scrape CEO approval ratings, vote counts, executive team structures, and founder details to evaluate leadership sentiment.
Monitor company-specific news mentions, product launches, leadership changes, and funding announcements indexed by Owler.
Collect verified company domains, blog URLs, and official social media handles across LinkedIn, Twitter, and Facebook.
Run recurring pipelines that only emit records when revenue estimates, CEO ratings, or competitor graphs change.
Native integration with TLS fingerprint spoofing and residential proxy pools to bypass Owler's strict bot mitigation layers.
Extract and map Owler's proprietary industry categories to your internal taxonomy for consistent CRM enrichment.
Brief in. Clean data out.
Provide a list of company domains, names, or target industries. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for owler.com.
Schema validation, null-rate checks, revenue-outlier detection, and sample profiles before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Owler employs aggressive bot protection and complex frontend architectures. Here is how we maintain stable extraction.
Owler sits behind aggressive Cloudflare protection. Our infrastructure uses residential ISP proxies, custom TLS fingerprints, and automated Turnstile solvers to maintain high success rates without triggering blocks.
Owler profiles rely heavily on client-side React hydration. We intercept the underlying JSON state objects directly from the DOM, bypassing fragile UI selectors and capturing complete data payloads instantly.
Extracting deep competitor graphs requires high request volumes. We distribute requests across thousands of distinct proxy sessions, throttling concurrency per IP to mimic organic browsing velocity.
Owler displays revenue estimates in various shorthand formats (e.g., '$1.2B', '$500M'). Our pipeline normalises these strings into queryable numeric values (e.g., 1200000000) before delivery.
For large CRM enrichment workflows, we maintain a hash index of last-seen values per company. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Sales operations teams append revenue estimates, employee counts, and industry taxonomy to incomplete Salesforce or HubSpot records.
Strategy teams ingest competitor graphs to map market share, track rival funding events, and identify emerging challengers.
Investment analysts track CEO ratings, crowdsourced revenue growth, and employee sentiment across potential acquisition targets.
Marketing teams build targeted account lists by filtering companies based on specific revenue bands, sector categories, and recent funding.
Consulting firms extract the complete competitor network for a specific sector to visualise market consolidation and overlap.
Procurement teams monitor vendor health by tracking leadership changes, funding stability, and negative news mentions.
"Owler maintains the most accurate crowdsourced competitor graph and private company revenue estimates on the web — if you can extract it."
Extracting Owler at scale requires bypassing aggressive Cloudflare protection, handling dynamic React state hydration, and navigating strict rate limits. DataFlirt manages the proxy rotation and session pools so you get clean, structured company profiles delivered directly to your warehouse.
Everything supported by our owler.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/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 owler.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available firmographic and crowdsourced data from Owler is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt extracts only public, non-authenticated company profiles, competitor graphs, and revenue estimates. We do not extract personal user data or circumvent paywalls for Owler Pro features. Clients should consult legal counsel for specific use cases.
We utilise ISP-grade residential proxies combined with custom browser configurations that spoof TLS fingerprints and HTTP/2 headers. For active challenges, we integrate automated Turnstile solvers to clear verifications without manual intervention.
Yes. Provide a seed list of companies or a specific sector taxonomy, and our pipeline will recursively extract all connected competitors, similarity scores, and overlapping categories to build a complete market map.
We extract the exact figures displayed on Owler, which rely on crowdsourced inputs and proprietary algorithms. We normalise these values into standard integers for your database, but the underlying accuracy reflects Owler's source data.
Yes. Owler uses a specific taxonomy for industries. We extract the raw sector string and can apply custom mapping logic during the pipeline delivery phase to align with your internal CRM categories.
Most CRM enrichment pipelines run on a weekly or monthly cadence to capture updated revenue estimates, funding rounds, and leadership changes. We use change-detection to deliver only updated records, minimising unnecessary API calls to your CRM.
Absolutely. We provide a sample run of up to 500 company profiles as part of the pre-engagement scoping process — so you can validate schema fit, metric standardisation, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off sector dump or continuous CRM enrichment across 500K domains — we scope, build, and operate the pipeline. Tell us what you need.
