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Company Firmographics: Employees, Industry, HQ, Revenue from a Domain

Turn a company domain into a structured firmographic record. Give it a domain and get back employee band, industry, HQ location, founded year, a revenue estimate, logo, and description, parsed from the company's own schema.org/Organization JSON-LD and HTML meta tags. Every record carries a source_signals array and a data_completeness score, so you always know where the data came from and how much was found. Flat JSON, one row per domain, ready to drop into a Clay table. Pure HTTP, no browser, no paid data provider, no Crunchbase.

Built for Clay users, RevOps teams, and outbound agencies that need enriched company records without a ZoomInfo or Clearbit dependency. It extends the JSON-LD parsing pattern from the Domain to LinkedIn URL Resolver and is the canonical company record the rest of the Mamba Labs fleet joins on.

What's Inside

• Ready-to-Run Examples
• Features
• Input
• Output
• Pricing
• Usage Examples
• Error Handling
• Limitations
• Mamba Labs GTM Actor Fleet

Ready-to-Run Examples

Each example is a pre-configured version of this actor for a specific use case. Click any link to open it in the Apify Console and run it immediately.

Looking for a different configuration? Open the Input tab to build your own.

Features

• Structured firmographics from the company's own site. Employee band, industry, HQ, founded year, revenue estimate, logo, and description from schema.org/Organization JSON-LD, with HTML meta tags as a fallback.
• Transparent provenance. A source_signals array on every record names exactly which sources contributed (JSON-LD, meta tags, proxy fetch). No competitor exposes this.
• Honest coverage score. data_completeness (0 to 100) tells you how much of the firmographic record was actually found, so you can gate downstream work on real coverage.
• No paid data dependency. Pure HTTP and public structured data. No ZoomInfo, Clearbit, or Crunchbase. Lower cost, fully auditable.
• Datacenter proxy fallback. Fetches direct first and only falls back to a datacenter proxy when a domain blocks, keeping runs fast and cheap.
• Batch and cache. Pass a domains array for bulk runs; results are cached for 7 days to make repeat lookups free.

Input

Provide either domain or domains.

Output

One flat row per domain. Every field is always present; absent values are null.

Heuristics: employee_band buckets the raw count (1-10 through 10001+). revenue_estimate is derived from the employee count using a per-employee proxy and is an estimate, not an authoritative figure. industry is best-effort and is often null because schema.org has no first-class industry field. data_completeness and source_signals let you gate on real coverage rather than assuming a field is present.

Pricing

Free tier: 50 results per month included, resets monthly. Cached repeat lookups within 7 days are free.

Usage Examples

Apify Console / API

curl-X POST "https://api.apify.com/v2/acts/YlUtLWjfPpqykmB8g/run-sync-get-dataset-items?token=YOUR_TOKEN"\
-H"Content-Type: application/json"\
-d'{"domain":"gitlab.com"}'

Batch:

{"domains":["gitlab.com","stripe.com","notion.so"],"batchSize":5}

Clay Integration

1. Add an Enrichment column of type HTTP API, or use the Apify integration.
2. Call this actor with domain mapped to your domain column.
3. Map the returned fields to columns: company_name, employee_band, industry, hq_location, founded_year, revenue_estimate, data_completeness.
4. Gate downstream enrichment or outreach on a formula like data_completeness >= 50 to skip rows where little firmographic data was found.

The output is flat and one row per domain, so every field maps directly to a Clay column with no JSON unwrapping.

MCP Integration

$npminstall @mambalabsdev/mcp-company-firmographic-enricher

{
"mcpServers":{
"company-firmographic-enricher":{
"command":"npx",
"args":["-y","@mambalabsdev/mcp-company-firmographic-enricher"],
"env":{"APIFY_TOKEN":"YOUR_TOKEN"}
}
}
}

Tool: enrich_company_firmographics with { "domain": "gitlab.com" }.

Prefer one install for the whole fleet? The Mamba Labs GTM Suite (https://www.npmjs.com/package/@mambalabsdev/mcp-gtm-suite) exposes eleven of these actors as tools in a single MCP server.

Error Handling

Limitations

• Coverage varies by what the company publishes. Firmographics come from the company's own structured data. Sites with rich schema.org/Organization JSON-LD return a near-complete record; sites with only basic meta tags return name, description, and logo. data_completeness and source_signals make this transparent on every row.
• revenue_estimate is a heuristic, not a figure. It is derived from the employee count using a per-employee proxy. Treat it as a rough band, not an authoritative revenue number.
• industry is best-effort. schema.org has no first-class industry field, so this is often null. Do not rely on it being present.
• No paid data provider. This actor does not call ZoomInfo, Clearbit, or Crunchbase, so it will not return data those providers hold but the company does not publish. That is the tradeoff for fully auditable, low-cost, ToS-clean enrichment.
• Data freshness. Results are cached for 7 days. Pass skipCache: true for a live enrichment.

Mamba Labs GTM Actor Fleet

One-install option: the Mamba Labs GTM Suite MCP server exposes eleven of these actors as tools in a single package. Each actor also has its own MCP wrapper.

All actors: apify.com/mambalabs | Website: mambabuilt.com

Built by Mamba Labs.