# Crunchbase Company Scraper (`marvelous_lute/crunchbase-organization-scraper-1`) Actor

An Apify Actor that scrapes comprehensive company data from Crunchbase organization pages.

- **URL**: https://apify.com/marvelous\_lute/crunchbase-organization-scraper-1.md
- **Developed by:** [AppliPlus](https://apify.com/marvelous_lute) (community)
- **Categories:** News, Lead generation, Developer tools
- **Stats:** 2 total users, 2 monthly users, 33.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## Crunchbase Organization Scraper

An Apify Actor that scrapes comprehensive company data from Crunchbase organization pages using Playwright browser automation.

### Features

- Extracts detailed company profiles including overview, financials, and key metrics
- Scrapes funding rounds, acquisitions, and investor information
- Collects team data: founders, executives, board members, and advisors
- Gathers news articles and press mentions
- Retrieves technology stack, web traffic data, and Bombora interest signals
- Supports authentication via browser cookies
- Optional proxy configuration for anti-blocking

### Input Parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `urls` | array | Yes | List of Crunchbase organization URLs (up to 5) |
| `cookies` | array | Yes | JSON array of authentication cookies exported from your browser |
| `skipSections` | boolean | No | Skip all additional sections for faster scraping. Default: `false` |
| `sectionsToSkip` | array | No | List of specific sections to skip: `financial_details`, `tech_details`, `people`, `news_and_analysis` |
| `proxyConfiguration` | object | No | Apify Proxy settings for anti-blocking |

### Example Input

```json
{
    "urls": [
        "https://www.crunchbase.com/organization/databricks",
        "https://www.crunchbase.com/organization/openai"
    ],
    "cookies": [
        {
            "name": "cookie_name",
            "value": "cookie_value",
            "domain": ".crunchbase.com"
        }
    ],
    "sectionsToSkip": ["people"]
}
```

To skip multiple sections:

```json
{
    "urls": ["https://www.crunchbase.com/organization/databricks"],
    "cookies": [...],
    "sectionsToSkip": ["people", "news_and_analysis"]
}
```

### Output

The scraper outputs data to the default dataset with the following structure:

- **Company Overview**: Name, legal name, operating status, company type, founded date, country, domain
- **Contact Info**: Phone number, email
- **Industries**: Array of industry categories
- **Founders & Hub Info**: Founder names, related hubs, hub tags
- **Scores**: Growth score, Crunchbase rank, heat score with trends
- **Funding Rounds**: Date, amount, investors, funding type for each round
- **Sections** (optional):
  - **financial\_details**: Investors, acquisitions, total funding, lead investors
  - **tech\_details**: Tech stack, web traffic, Bombora interest signals
  - **people**: Board members, team members with counts
  - **news\_and\_analysis**: Recent news articles with dates, sources, titles, URLs

### Getting Cookies

1. Log in to Crunchbase in your browser
2. Install a cookie export extension (e.g., "Get cookies.txt LOCALLY")
3. Export cookies as JSON for `crunchbase.com`
4. Paste the JSON array into the `cookies` input field

### Local Development

```bash
## Install dependencies
npm install

## Run locally
npm start
```

### Deployment

This Actor is designed to run on the [Apify platform](https://apify.com).

```bash
## Deploy using Apify CLI
apify push
```

### Dependencies

- `apify` - Apify SDK for Actor orchestration
- `puppeteer` - Browser automation
- `cheerio` - HTML parsing

### License

ISC

# Actor input Schema

## `urls` (type: `array`):

List of Crunchbase organization URLs (up to 5). Format: https://www.crunchbase.com/organization/{company-name}

## `cookies` (type: `array`):

JSON array of cookies from browser (export via cookie extension like 'Get cookies.txt LOCALLY')

## `skipSections` (type: `boolean`):

Only scrape main page, skip all additional sections (faster)

## `sectionsToSkip` (type: `array`):

List of specific sections to skip. Options: people, financial\_details, tech\_details, news\_and\_analysis

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

Optional Apify Proxy settings for anti-blocking

## Actor input object example

```json
{
  "urls": [
    "https://www.crunchbase.com/organization/databricks"
  ],
  "skipSections": false,
  "sectionsToSkip": []
}
```

# Actor output Schema

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

Array of scraped organization records including company info, funding rounds, financials, tech details, and news

# 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 = {
    "urls": [
        "https://www.crunchbase.com/organization/databricks"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("marvelous_lute/crunchbase-organization-scraper-1").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 = { "urls": ["https://www.crunchbase.com/organization/databricks"] }

# Run the Actor and wait for it to finish
run = client.actor("marvelous_lute/crunchbase-organization-scraper-1").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.crunchbase.com/organization/databricks"
  ]
}' |
apify call marvelous_lute/crunchbase-organization-scraper-1 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=marvelous_lute/crunchbase-organization-scraper-1",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/qL8ywjuvbhN2mgIpo/builds/TQ6M2uXIf0oQwoGyE/openapi.json