We extract company profiles, employee directories, firmographics, and technographic stacks from Adapt.io. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your schedule.
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 adapt.io. All fields typed and schema-versioned.
"company_name": "Acme Corp", "domain": "acme.com", "industry": "Software Development", "employee_count": 450, "revenue_range": "$50M - $100M", "founded_year": 2012, "hq_location": "San Francisco, CA"
| # | company_id | company_name | domain | industry | sub_industry | employee_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Contact Profiles objects from adapt.io. All fields typed and schema-versioned.
"first_name": "John", "last_name": "Doe", "job_title": "VP of Engineering", "department": "Engineering", "seniority_level": "VP", "company_domain": "acme.com", "location": "New York, NY"
| # | contact_id | first_name | last_name | job_title | department | seniority_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technographics objects from adapt.io. All fields typed and schema-versioned.
"company_domain": "acme.com", "tech_category": "CRM", "tech_name": "Salesforce", "implementation_status": "Active", "first_detected": "2021-04-12", "last_detected": "2023-10-01"
| # | company_domain | tech_category | tech_name | implementation_status | first_detected | last_detected |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Department Headcounts objects from adapt.io. All fields typed and schema-versioned.
"company_domain": "acme.com", "engineering_count": 145, "sales_count": 80, "marketing_count": 35, "hr_count": 12, "snapshot_date": "2023-11-01"
| # | company_domain | engineering_count | sales_count | marketing_count | hr_count | finance_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location & Branches objects from adapt.io. All fields typed and schema-versioned.
"company_domain": "acme.com", "location_type": "Headquarters", "city": "San Francisco", "state": "CA", "country": "United States", "region": "North America"
| # | company_domain | location_type | address_line_1 | city | state | postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Adapt.io scraper navigates complex directory structures, extracts firmographics, and builds contact lists without triggering rate limits or bot protection blocks.
Extract revenue ranges, employee counts, founding years, and social links from every company directory page.
Map out organizational charts by capturing public employee names, job titles, departments, and seniority levels.
Capture the software and tools used by target companies, categorised by function and implementation status.
Target specific industries, revenue bands, or geographic regions to build highly relevant data sets.
Crawl deep into directory structures, capturing every record across thousands of paginated results.
Run continuous pipelines that detect role changes, new hires, and updated company metrics.
Distribute requests across residential proxy pools to maintain high success rates and avoid IP bans.
Bypass rate limits and CAPTCHAs using automated solver integrations and realistic browser fingerprints.
Configure hourly, daily, or weekly pipeline runs to keep your CRM or data warehouse synchronised.
Brief in. Clean data out.
Provide target industries, company domains, or specific directory URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for adapt.io.
Schema validation, null-rate checks, and sample data reviews before full pipeline launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on an agreed schedule.
Extracting data from B2B directories requires precise request management. Here is how we maintain pipeline stability.
Directories aggressively rate-limit high-volume IPs. We distribute requests across thousands of residential proxies, pacing extraction to mimic organic browsing behaviour.
Job titles and department names vary wildly. Our pipeline cleans and normalises text fields, mapping raw input to standardised categories before delivery.
Many directories truncate results or block deep pagination. We use targeted search parameters and sub-category routing to extract complete datasets without hitting artificial limits.
Contact details are often obfuscated or loaded asynchronously via JavaScript. We execute full browser sessions to trigger network requests and capture the final DOM state.
Re-scraping millions of profiles wastes compute. We hash records on extraction and only deliver rows where job titles, employee counts, or technographics have changed.
Sales operations teams automatically update Salesforce or HubSpot with fresh employee counts, revenue bands, and new contact names.
Strategy teams map total addressable markets by extracting every company within specific industry and revenue criteria.
Marketing teams build targeted outreach lists based on job titles, seniority levels, and department affiliations.
Product teams track competitor headcount growth across specific departments like engineering or sales.
Venture capital firms identify high-growth startups by tracking rapid headcount expansion and new executive hires.
Data science teams correlate technographic adoptions with hiring patterns to predict software purchasing intent.
"Adapt.io holds millions of B2B profiles and firmographic records, but extracting this intelligence into a usable format requires heavy infrastructure."
Building an internal scraper for B2B directories means fighting CAPTCHAs, managing residential proxy pools, and parsing complex DOM structures that change weekly. DataFlirt abstracts this complexity. We manage the extraction layer so your data engineering team can focus on identity resolution and CRM enrichment.
Everything supported by our adapt.io 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 and deduplication. Playwright handles JavaScript rendering and interaction flows for complex directory pages.
We maintain pools of residential ISP proxies. Rotation happens per request to prevent IP bans and ensure high extraction success rates.
Pipelines run on AWS Lambda and Kubernetes. Airflow handles scheduling and dependency management. All state is stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About adapt.io scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from directories is generally permissible under applicable law. DataFlirt targets only public, non-authenticated company and employee profile data. We do not extract gated direct dials or verified emails that require account credits.
We use residential ISP proxies, automated CAPTCHA solvers, and request pacing modelled on human behaviour to avoid triggering security blocks during large-scale extractions.
Yes. We configure pipelines to target specific directory paths, search parameters, or firmographic criteria based on your exact requirements.
Data freshness depends on your chosen pipeline schedule. We can configure daily, weekly, or monthly runs to capture updates and new directory entries.
No. Adapt.io gates direct contact information behind a credit system requiring authentication. We extract only the publicly visible profile data, firmographics, and technographics.
Yes. We provide a sample extraction of up to 1,000 company profiles during the scoping phase so you can validate the schema and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full directory export or continuous firmographic monitoring, we build and operate the pipeline. Tell us your requirements.
