We extract public company profiles, firmographics, and industry taxonomies from Cognism directories. 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 Firmographics objects from cognism.com. All fields typed and schema-versioned.
"company_name": "Acme Corp", "industry": "Software Development", "employee_count_range": "501-1000", "hq_location": "London, UK", "founded_year": 2012, "website": "acme.com"
| # | company_name | cognism_url | website | industry | sub_industry | employee_count_range |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Public Employee Roster objects from cognism.com. All fields typed and schema-versioned.
"employee_name": "Jane Doe", "job_title": "VP of Engineering", "department": "Engineering", "seniority_level": "VP", "location": "New York, USA", "company_name": "Acme Corp"
| # | company_name | employee_name | job_title | department | location | profile_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Data objects from cognism.com. All fields typed and schema-versioned.
"hq_city": "London", "hq_country": "United Kingdom", "office_count": 4, "hq_postal_code": "EC1A 1BB", "company_name": "Acme Corp", "regional_offices": "['New York', 'Berlin']"
| # | company_name | hq_address | hq_city | hq_state | hq_country | hq_postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Industry Taxonomy objects from cognism.com. All fields typed and schema-versioned.
"category_name": "Fintech", "parent_category": "Financial Services", "total_companies": 14205, "related_categories": "['Payments', 'Insurtech']", "top_companies": "['Stripe', 'Revolut']", "last_updated": "2023-10-12T00:00:00Z"
| # | category_name | category_url | parent_category | total_companies | related_categories | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technographics objects from cognism.com. All fields typed and schema-versioned.
"company_name": "Acme Corp", "tech_category": "CRM", "technology_name": "Salesforce", "implementation_status": "Active", "detected_date": "2023-09-15", "confidence_score": 0.95
| # | company_name | tech_category | technology_name | implementation_status | detected_date | confidence_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Cognism scraper navigates public directories to extract company profiles, taxonomies, and firmographic indicators. We manage the proxies, rendering, and schema maintenance.
Extract company names, firmographics, descriptions, and metadata from public-facing directory pages.
Traverse industry categories and sub-categories to build comprehensive market maps.
Monitor headcount ranges and growth signals across target accounts over time.
Capture HQ locations, regional offices, and geographic footprint data for territory planning.
Execute Playwright sessions to render dynamic directory content and lazy-loaded elements.
Maintain hash indexes to emit only changed records, reducing downstream processing load.
Utilise residential proxy pools and TLS fingerprint spoofing to bypass rate limits.
Access localised directory views to capture region-specific company data.
Schedule daily or weekly syncs to keep your CRM or data warehouse updated.
Brief in. Clean data out.
Provide target industries, company sizes, or directory URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for cognism.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory scraping requires navigating rate limits and dynamic pagination. Here is how we maintain reliable extraction.
Directory sites implement strict rate limits. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to distribute load.
Modern directories rely heavily on JavaScript. We run full Playwright browser sessions to trigger lazy-loading and capture data that headless HTTP clients miss.
DOM structures change. Our selector strategy uses fallback chains combining CSS, XPath, and text-pattern matching to ensure pipeline stability.
For large directories, we maintain a hash index of last-seen values. Subsequent runs only push diffs, providing a clean changelog.
Every run emits structured logs. We alert on null-rate spikes and schema drift, responding before data quality degrades.
Revenue operations teams map total addressable markets by extracting companies within specific industry taxonomies.
Strategy teams monitor competitor growth signals, employee count changes, and geographic expansion.
Data engineering teams enrich internal CRM records with fresh firmographics to improve lead scoring models.
Sales leadership segments target accounts by HQ location and regional office presence.
Analysts track industry categorisation trends to identify emerging sectors and whitespace.
Venture capital firms identify fast-growing companies based on headcount expansion and firmographic signals.
"Cognism's public directories hold massive firmographic value, but mapping millions of companies requires infrastructure built for scale and anti-bot resilience."
Most data teams underestimate the complexity of directory scraping. Rate limits, CAPTCHAs, and dynamic DOM structures break naive scripts. DataFlirt manages the proxies, browser rendering, and schema maintenance so you receive structured firmographics directly in your warehouse.
Everything supported by our cognism.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 orchestration and deduplication. Playwright handles JavaScript rendering and interaction flows.
Pools of residential ISP proxies rotate per request to bypass directory rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About cognism.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available firmographic information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated directory pages. We do not extract personal data behind paywalls or circumvent authentication mechanisms.
We use residential ISP proxies and request timing modelled on human behaviour to distribute load and avoid IP bans.
No. DataFlirt only extracts data available on public directory pages. We do not support extracting authenticated contact data such as direct dials or verified emails.
We can configure pipelines to run at daily, weekly, or monthly cadences depending on your freshness requirements.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record for changes in employee counts and firmographics from the date your pipeline starts.
Our minimum engagement typically starts at a defined list of 10,000 target companies or specific industry categories. Contact us for a scoped quote.
Yes. We provide a sample run of up to 500 company profiles as part of the pre-engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off firmographic dump or continuous tracking across 500K companies — we scope, build, and operate the pipeline.
