We extract company profiles, technographic stacks, firmographics, and IP classification data from Demandbase. 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 demandbase.com. All fields typed and schema-versioned.
"domain": "acme.com", "company_name": "Acme Corp", "employee_count": 1250, "revenue_range": "$100M - $250M", "year_founded": 2012, "hq_location": "San Francisco, CA"
| # | domain | company_name | description | employee_count | revenue_range | year_founded |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technographics objects from demandbase.com. All fields typed and schema-versioned.
"domain": "acme.com", "technology_name": "Salesforce CRM", "category": "Customer Relationship Management", "sub_category": "Enterprise CRM", "vendor": "Salesforce", "confidence_score": 98
| # | domain | technology_name | category | sub_category | vendor | first_detected |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for IP Intelligence objects from demandbase.com. All fields typed and schema-versioned.
"ip_address": "192.0.2.45", "cidr_block": "192.0.2.0/24", "domain": "acme.com", "is_isp": false, "is_proxy": false, "registry": "ARIN"
| # | ip_address | cidr_block | domain | company_name | is_isp | is_proxy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Corporate Hierarchy objects from demandbase.com. All fields typed and schema-versioned.
"domain": "acme-europe.com", "parent_domain": "acme.com", "relationship_type": "Subsidiary", "branch_count": 14, "ownership_type": "Private", "global_ultimate_duns": "123456789"
| # | domain | parent_domain | subsidiary_domains | relationship_type | global_ultimate_duns | domestic_ultimate_duns |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Industry Classification objects from demandbase.com. All fields typed and schema-versioned.
"domain": "acme.com", "primary_industry": "Software", "sub_industry": "Enterprise Software", "naics_code": "511210", "sic_code": "7372", "b2b_b2c": "B2B"
| # | domain | primary_industry | sub_industry | naics_code | sic_code | keywords |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Demandbase scraper captures firmographics, technographics, and IP ranges across millions of domains. We handle rate limits, JavaScript rendering, and session management.
Capture company names, employee counts, revenue brackets, and HQ locations across the entire Demandbase directory.
Map the software tools, hosting providers, and marketing technologies used by target accounts.
Extract corporate IP ranges and CIDR blocks associated with business domains.
Map parent companies to subsidiaries and regional branches to understand global account structures.
Extract NAICS codes, SIC codes, and primary industry categories for precise market segmentation.
Run pipelines on a scheduled cadence to capture changes in employee headcount or newly adopted technologies.
Navigate rate limits and CAPTCHAs using residential proxies and humanised browser behaviour.
Standardise raw directory data into clean, typed fields ready for SQL ingestion.
Receive only records that have changed since the last run to optimise warehouse compute.
Brief in. Clean data out.
Provide target domains, industry categories, or IP ranges. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for demandbase.com.
Schema validation, null-rate checks, and sample profile reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Extracting millions of company profiles requires strict concurrency controls and proxy management. Here is how we maintain pipeline stability.
B2B directories aggressively block high-velocity IPs. We distribute requests across thousands of residential nodes, maintaining low individual request rates while achieving high aggregate throughput.
Company data changes slowly. We maintain a hash index of last-seen values per domain. Subsequent runs only push diffs, reducing compute cost and storage bloat.
Technographic stacks and subsidiary lists often load via asynchronous JavaScript. We use Playwright to execute scripts and wait for network idle states before parsing the DOM.
Directory search results are often capped at 1,000 items. We partition queries using granular filters like revenue brackets and employee counts to extract the full catalogue without hitting pagination walls.
When DOM structures change, pipelines break. We use multiple fallback chains per field, including CSS selectors, XPath, and regex pattern matching on inline JSON objects.
Operations teams automatically append firmographics and technographics to bare domain records in Salesforce or HubSpot.
Sales leaders segment accounts by revenue, employee count, and HQ location to define equitable sales patches.
Product marketers track the adoption rate of competing software tools across specific industry verticals.
Strategy teams calculate Total Addressable Market by filtering the directory against ideal customer profile criteria.
Demand generation teams build highly targeted account lists based on specific technographic installations.
Data science teams use historical firmographic data to train machine learning models that predict conversion probability.
"B2B directories hold the foundational data for modern go-to-market motions, but extracting it at scale requires dedicated infrastructure."
Most engineering teams underestimate the complexity of scraping millions of company profiles. It requires managing proxy pools, bypassing CAPTCHAs, and maintaining selectors across frequent site updates. DataFlirt absorbs this operational overhead so your team can focus on activating the data.
Everything supported by our demandbase.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 and retry logic. Playwright handles JavaScript rendering and interaction flows. Combined via custom middleware.
We maintain pools of residential ISP proxies. Rotation happens per request with sticky sessions where required to avoid IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About demandbase.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated company profiles and technographics. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate limits and trigger pool rotation automatically.
Yes. We map parent-child relationships and subsidiary links where they are publicly exposed in the directory structure.
Pipelines can be configured for daily, weekly, or monthly refreshes depending on your requirements. B2B firmographics generally require weekly or monthly cadences.
Our smallest packages start at a defined list of 10,000 domains. For larger catalogues spanning millions of records, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 500 domains 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 firmographic dump or a continuous technographic feed across millions of domains, we scope, build, and operate the pipeline.
