# PitchBook Company Scraper (`moving_beacon-owner1/pitchbook-company-scraper`) Actor

Scrapes public PitchBook company profiles with company details, industry, funding, ownership status, headquarters, website, social links, total funding, latest deal, investors, and competitors. Supports company-name searches or specific profile URLs for market research and competitive intelligence.

- **URL**: https://apify.com/moving\_beacon-owner1/pitchbook-company-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 43.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## PitchBook Company Scraper

Collects company information from the public company profiles on PitchBook. Search by company name or paste specific profile links, and get one flat record per company with the description, year founded, employee count, ownership and financing status, primary and other industries, verticals, headquarters address, website, social links, total raised, latest deal, and the investors and competitors listed on the profile.

### Input

| Field | Default | Description |
| --- | --- | --- |
| `search` | `openai` | Company name or keyword to look up. Ignored when profile URLs are supplied. |
| `profile_urls` | *(empty)* | Specific company profiles to scrape — full links (`https://pitchbook.com/profiles/company/149504-14`) or bare profile IDs (`149504-14`). |
| `max_results` | `10` | Maximum number of company profiles to return (1–200). |
| `include_related` | `true` | Also include the investor and competitor names listed on each profile. |
| `proxyConfiguration` | Optional | Enable a US-based proxy for the most reliable results. |

### Output

Each result is one company profile:

```json
{
    "name": "OpenAI",
    "profile_url": "https://pitchbook.com/profiles/company/149504-14",
    "profile_id": "149504-14",
    "description": "Developer of machine learning systems designed for general-purpose artificial intelligence applications...",
    "year_founded": 2015,
    "status": "IPO Registration",
    "employees": 4500,
    "latest_deal_type": "IPO",
    "investors_count": 226,
    "website": "http://www.openai.com",
    "linkedin_url": "https://www.linkedin.com/company/openai",
    "twitter_url": "https://twitter.com/OpenAI",
    "facebook_url": "https://www.facebook.com/openai",
    "verticals": ["Big Data", "SaaS", "Artificial Intelligence & Machine Learning", "Mobile"],
    "ownership_status": "In IPO Registration",
    "financing_status": "Venture Capital-Backed",
    "primary_industry": "Business/Productivity Software",
    "other_industries": "Media and Information Services (B2B)",
    "street_address": "1455 3rd Street",
    "city": "San Francisco",
    "state": "California",
    "postal_code": "94158",
    "country": "United States",
    "logo_url": "https://image.pitchbook.com/FqwsLKZ8o8bnqRbSut8bpzXlREm1778579203281_200x200",
    "total_raised": "$186B",
    "latest_deal_date": "08-Jun-2026",
    "investors": ["ABS Global Investments", "Acquinox Capital", "Amazon.com"],
    "competitors": ["Sentient.io", "Primer", "alwaysAI"],
    "faqs": { "When was OpenAI founded?": "OpenAI was founded in 2015." },
    "raw": { ... }
}
```

### Notes

- Runs with empty input (defaults to a search for `openai`).
- Enable a US-based proxy for the most reliable results.
- Only the publicly previewed portion of each profile is collected; the investor and competitor lists are the preview subset shown on the page.
- Intended for research and market-intelligence use; please respect PitchBook's terms of service.

# Actor input Schema

## `search` (type: `string`):

Company name or keyword to look up in the public PitchBook profile search (e.g. 'openai', 'stripe', 'solar'). Ignored when profile URLs are supplied.

## `profile_urls` (type: `array`):

Specific PitchBook company profiles to scrape. Accepts full URLs (https://pitchbook.com/profiles/company/149504-14) or bare profile IDs (149504-14). Leave empty to use the search instead.

## `max_results` (type: `integer`):

Maximum number of company profiles to return.

## `include_related` (type: `boolean`):

Add the investor and competitor names listed on each company profile to the record.

## `proxyConfiguration` (type: `object`):

Proxy settings for the run. Enable a US-based proxy for the most reliable results, especially for sites that limit non-US or datacenter traffic. Optional — leave off to run directly.

## Actor input object example

```json
{
  "search": "openai",
  "profile_urls": [
    "https://pitchbook.com/profiles/company/149504-14"
  ],
  "max_results": 10,
  "include_related": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "search": "openai",
    "profile_urls": [
        "https://pitchbook.com/profiles/company/149504-14"
    ],
    "max_results": 10,
    "include_related": true,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/pitchbook-company-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "search": "openai",
    "profile_urls": ["https://pitchbook.com/profiles/company/149504-14"],
    "max_results": 10,
    "include_related": True,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/pitchbook-company-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "search": "openai",
  "profile_urls": [
    "https://pitchbook.com/profiles/company/149504-14"
  ],
  "max_results": 10,
  "include_related": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call moving_beacon-owner1/pitchbook-company-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/pitchbook-company-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Er9y0rd79ThhIBQNz/builds/aBJ1bzHjokGoSmMbB/openapi.json