Private-company research has a paywall problem: the numbers live behind an enterprise seat priced for funds, not for a Tuesday-afternoon question. The public PitchBook Company API on Apify reads the public profile pages and turns a list of profile URLs into one structured JSON row per company: firmographics, financing status, the latest deal, named investors, acquirers, and competitors.

Paste up to 1,000 profile URLs into companyUrls, run it, and export the dataset as JSON, CSV, or Excel. Profiles that fail to load come back as error rows instead of sinking the batch, which matters once your URL list gets long. You pay per returned row, so a target list of 500 firms lands near $5.50 and Apify's free credit usually absorbs the first batches.

What one row holds: name, website, HQ, founding year, and description; industry and verticals as tagged; headcount and financing status; the latest deal type, date, and amount; named investors and acquirers with counts; and competitor names for market maps.

Who it is for: VC and PE teams sourcing deals from target lists, sales and RevOps people enriching accounts with size, industry, and funding stage, and analysts mapping a sector by funding, headcount, and who competes with whom.

Example Tasks & Use Cases

PitchBook company data API for Python - a runnable ApifyClient snippet that pulls the latest deal, investor names, and headcount for a list of companies.

Bulk collect PitchBook companies from a URL list - turn a spreadsheet column of profile links into uniform rows in one batch.

Collect private company data from PitchBook - the sourcing loop: firmographics plus financing status across a target sector.

Extract deal financing data from PitchBook - narrow the output to deals: latest deal details, financing rounds, and who invested.

Scrape PitchBook company data to structured JSON - the minimal version for piping straight into whatever you already run.

Get PitchBook company data in Claude via MCP - the no-code path: ask Claude about a private company and it fetches the profile row.

Works with MCP

Connected over the Model Context Protocol, the Actor becomes a lookup tool an agent can call. Point Claude, Claude Code, or Cursor at the Apify MCP server and ask about a private company; it fetches the current profile row instead of reciting stale training data, same inputs and outputs as the API.

Honest limits

It returns the public slice only: no logged-in financials, no full deal tables. The licensed platform goes far deeper, and this Actor never touches it. Runs take up to 1,000 URLs by default, and failed URLs come back as error rows you can retry rather than silent gaps.

Keywords & Topics

PitchBook data, PitchBook company API, private company data, deal data, funding rounds, investor data, PitchBook scraper, PitchBook MCP, VC and PE deal sourcing, account enrichment, market mapping, structured JSON, REST API, Python, Claude, Apify. Related company-research Actors: the Crunchbase Company API, the Startup Investors Data Scraper, and the Earnings Call Transcript API.