# Crunchbase Scraper - Unlimited Data No API Pricing 100% Success (`excitable_pickle/crunchbase-funding-founder-scraper`) Actor

Extract unlimited Crunchbase data without expensive API pricing. Get funding rounds, investors, revenue, employees & contact info. 130+ fields. $11.99/1K companies. No rate limits. 100% success rate. Alternative to Tracxn, Apollo.io, ZoomInfo, Linkedin and Google Maps.

- **URL**: https://apify.com/excitable\_pickle/crunchbase-funding-founder-scraper.md
- **Developed by:** [Pavan](https://apify.com/excitable_pickle) (community)
- **Categories:** Lead generation, Automation, MCP servers
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

<p align="center">
  <img src="https://cdn.jsdelivr.net/npm/simple-icons@v13/icons/crunchbase.svg" width="90" height="90" alt="Crunchbase Scraper - Unlimited Data No API Pricing 100% Success Logo" />
</p>

## Crunchbase Scraper - Unlimited Data No API Pricing 100% Success

🚀 Crunchbase Scraper

Extract company data from Crunchbase including funding, investors, revenue, and contact information.
❌ No API subscription required.

### This Crunchbase actor serves as a powerful alternative 🚀 to LinkedIn, LinkedIn-company-Search, LinkedIn-Profile-Search, LinkedIn Sales Navigator, Apollo, ZoomInfo, Owler, RocketReach, Clay.com, Lemlist, and Google Maps — providing high-quality business and company data 📊 for smarter prospecting and research.

### ⚡ Quick Start

Set your filters (location, industry, keywords, funding dates) → Click **Start** → Download results in minutes

### 💡 Why Use This?

| Feature            | Crunchbase Pro | Crunchbase API | This Tool   |
| ------------------ | -------------- | -------------- | ------------|
| Monthly Cost     | $29            | $2,000+        | Pay per use   |
| Rate Limits      | 200/day        | 200/day        | None          |
| Companies/Month  | ~6,000         | ~6,000         | 4,000,000+    |
| Data Fields      | ~30            | ~50            | 130+          |
| Export           | Limited CSV    | API only       | CSV/Excel/JSON|

💰 **Pricing:** $11.99 per 1,000 companies
🎁 **Free Sample:**

### 📦 What Data You Get

#### 🏢 Company Information

- Name, description, website
- Headquarters location
- Founded date, employee count
- Company logo and status

#### 💰 Funding & Financial Data

- Total funding amount
- Funding rounds (Seed, Series A, B, C, etc.)
- Latest funding date and amount
- Company valuation
- IPO/acquisition status

#### 🤝 Investors

- Complete investor list
- Lead investors by round
- Investment timeline

#### 📞 Contact & Social

- Email addresses 📧 (when available)
- Phone numbers 📱 (when available)
- LinkedIn, Twitter, Facebook profiles

✅ **Total:** 130+ data fields per company

### ⚙️ Configuration

#### 🌍 Location Filter

Filter by headquarters. One location per line:

```
San Francisco, California, United States
New York, New York, United States
```

#### 🏭 Industry Selection

Choose from 700+ industries:

- Software 💻
- Financial Services
- Healthcare
- Biotechnology
- Artificial Intelligence
- And 700+ more

#### 🔑 Keywords

Filter by description keywords (one per line):

B2B
SaaS
enterprise
software

#### 📅 Funding Date Range

**NEW!** Filter companies by when they received funding:

- **Funding Date From:** Start date (e.g., `2020-01-01`)
- **Funding Date To:** End date (e.g., `2024-12-31`)

💡 **Example:** Find all companies funded between 2022-2024 to target recent fundraisers

#### 🧩 Company Filters

- **Operating Status:** Active / Closed / Both
- **Company Type:** For-Profit / Non-Profit
- **Max Companies:** Set limit or 0 for unlimited

#### 🚫 Exclusion Filters

Upload existing company lists (URLs or Crunchbase links) to avoid duplicates

### 📥 Input Example

```json
{
  "location": "San Francisco, California, United States",
  "max_leads": 1000,
  "industries": ["Software", "Artificial Intelligence"],
  "operating_status": "Active",
  "company_type": "For-Profit",
  "description_keywords": "B2B\nSaaS",
  "funding_date_from": "2022-01-01",
  "funding_date_to": "2024-12-31"
}
```

### 📤 Output & Export

#### 📂 Available Formats

- CSV - Excel-compatible
- Excel (XLSX) - Native format
- JSON - For developers
- API Access - Programmatic integration

💡 **Pro Tip:**
For optimal column order, download from:
**Storage → Key-Value Store → RESULTS.csv**

### ⚡ Performance

#### 🚀 Speed

- 1,000 companies: 3–5 minutes
- 10,000 companies: 30–40 minutes

#### ✅ Reliability

- 99%+ success rate
- Automatic retry on failures
- Real-time progress logging

#### 💻 Requirements

- Minimum RAM: 1.4 GB
- Recommended RAM: 2 GB

### 💰 Pricing

#### 📊 Simple Pay-Per-Result

| Volume            | Cost      |
| ----------------- | --------- |
| 1,000 companies   | $11.99    |
| 5,000 companies   | $59.95    |
| 10,000 companies  | $119.90   |
| 100,000 companies | $1,199.00 |

🎁 **Free sample available**
💵 Only pay for successfully extracted companies

### 🎯 Use Cases

📈 **B2B Lead Generation** – Build targeted prospect lists
📊 **Market Research** – Analyze industries & trends
💰 **Investment Intelligence** – Track funding & investors
🕵️ **Competitive Analysis** – Monitor competitors
🚀 **Startup Database** – Discover emerging companies
🎯 **Sales Prospecting** – Find decision-makers
📅 **Recent Fundraisers** – Target companies with fresh funding (NEW!)

### 💡 Use Case Examples with Funding Date Filter

#### 🚀 Target Recent Series A Companies

```json
{
  "industries": ["Software"],
  "funding_date_from": "2024-01-01",
  "funding_date_to": "2024-12-31",
  "description_keywords": "Series A"
}
```

**Perfect for:** Sales teams targeting well-funded startups

#### 💼 Find Companies Funded During Specific Period

```json
{
  "location": "United States",
  "funding_date_from": "2023-06-01",
  "funding_date_to": "2023-12-31"
}
```

**Perfect for:** Tracking funding trends and market analysis

#### 🎯 Recent Tech Fundraisers in Bay Area

```json
{
  "location": "San Francisco, California",
  "industries": ["Artificial Intelligence", "SaaS"],
  "funding_date_from": "2024-01-01"
}
```

**Perfect for:** Investors looking for hot deals

***

### ❓ FAQ

#### Do I need a subscription?

❌ No. Works without any API or subscription.

#### How many companies can I extract?

🚀 Up to 4,000,000 per run with no limits.

#### How accurate is the data?

✅ 99%+ success rate.

#### Can I automate runs?

⏰ Yes. Schedule daily, weekly, or monthly.

#### Is this legal?

⚖️ Yes. Uses publicly available data. Users must comply with laws.

#### How do I avoid duplicates?

🚫 Use exclusion filters.

#### What if extraction fails?

🔄 Retry up to 5 times. Failed records are not charged.

#### How does the funding date filter work?

📅 Filters companies based on their **last funding date**. Great for finding recently funded companies!

### ⚡ Quick Start Guide

1️⃣ Set filters (location, industry, keywords, funding dates)
2️⃣ Choose number of companies
3️⃣ Add exclusions (optional)
4️⃣ Click Start ▶
5️⃣ Download results

💡 **Best Practice:** Start with 1,000 companies before scaling

### 📞 Support

📧 Email: <msvpitservices@gmail.com>
📱 WhatsApp: +91 9346307029
✈️ Telegram: @msvpitservices
💬 Microsoft Teams: mavinash\_mba\_1
⏱️ Response Time: <24 hours

### ℹ️ You may extract company data by providing a list of Crunchbase company URLs: https://apify.com/excitable\_pickle/crunchbase-company-scraper---no-api-limits

### 🔄 Updates

🔧 Regular updates for performance & improvements
✨ **NEW:** Funding date range filter added!
📅 Last updated: March 27, 2026

### ⚖️ Legal

This tool is for business intelligence and research purposes
Users must comply with GDPR, CCPA, and other regulations

We only extract publicly available data and handle it responsibly

### 🚀 Ready to Start?

👉 Check the **free sample 🎁** or configure your first extraction now!
https://docs.google.com/spreadsheets/d/1EPbY4QWlt3E1U5n6i2FZB3o7mDXODOf6b1Fu5pxO7tg/edit?gid=0#gid=0Crunchbase Scraper for Google Sheets

### Connect to Claude / AI Agent (MCP)

Connect this Actor directly to Claude Desktop, Cursor, or any MCP client via the Model Context Protocol endpoint:

```text
https://mcp.apify.com/?token=YOUR_APIFY_TOKEN_HERE&tools=actors,docs,excitable_pickle/crunchbase-funding-founder-scraper
```

#### Claude Copy-Paste Prompt

```text
MCP Server URL: https://mcp.apify.com/?token=YOUR_APIFY_TOKEN_HERE&tools=actors,docs,excitable_pickle/crunchbase-funding-founder-scraper
Apify Token: YOUR_APIFY_TOKEN_HERE

Execute Actor: excitable_pickle/crunchbase-funding-founder-scraper
Task: "Execute search with parameters, extract structured results, and present key intelligence in a markdown table."
```

# Actor input Schema

## `maxCompanies` (type: `integer`):

You may limit the number of search results as per your budget (max allowed 40 lakhs companies)

## `headquartersLocation` (type: `string`):

Enter one or more locations one below another. Accepted formats are 'City'
'City', 'State'
'City, State, Country' or 'State, Country'
'Country'.
e.g. Austin
Austin, Texas
Austin, Texas, United States
Texas, United States
United States
Kindly consider ambiguity due to fact that multiple city/state can have same names. So it is always advisable to put atleast 2 descriptors like city, state or state, country

## `industry` (type: `array`):

Select one or more industries you want to include in the search.

## `operatingStatus` (type: `string`):

Choose operating status.

## `companyType` (type: `string`):

Choose type of company

## `numberOfEmployees` (type: `array`):

Select the employee size range(s) you want to include in the search.

## `funding_type` (type: `array`):

Select the funding types of the companies you need

## `funding_date_start` (type: `string`):

Select start date of the period during which the companies you need were funded

## `funding_date_end` (type: `string`):

Select end date of the period during which the companies you need were funded

## `exclude_urls_file` (type: `string`):

Upload a .txt or .csv file containing URLs (one per line).

## Actor input object example

```json
{
  "maxCompanies": 4000000,
  "headquartersLocation": "",
  "industry": [],
  "operatingStatus": "Active",
  "companyType": "For Profit",
  "numberOfEmployees": [],
  "funding_type": []
}
```

# Actor output Schema

## `startups` (type: `string`):

No description

## `summary` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("excitable_pickle/crunchbase-funding-founder-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("excitable_pickle/crunchbase-funding-founder-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 '{}' |
apify call excitable_pickle/crunchbase-funding-founder-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,excitable_pickle/crunchbase-funding-founder-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/PNECbItQaboONfXXM/builds/sMOdI3Vaq6hbXm8kx/openapi.json