# Company Data Scraper with Email (`bhansalisoft/company-data-scraper-with-investors-and-founder-detail`) Actor

Company Data Scraper with Investors and Founder Detail : Scrap Company Data from 4 Millions Database of Companies.

- **URL**: https://apify.com/bhansalisoft/company-data-scraper-with-investors-and-founder-detail.md
- **Developed by:** [bhansalisoft](https://apify.com/bhansalisoft) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 43 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Company Data Scraper with Investors and Founder Detail

We have 3.8 milions company Database, We get data from our database. You need Direct Database of All 3.8 Milion

This tool will get all company information with there investors and Foundes Details.

- ✅ Software will Extract All Company data without any limitation.
- ✅ Unlimited Company Data Scrap with Monthly Rental only
- ✅ All Company Data is 100% correct
- ✅ All Company Data is 100% correct

### Below information will get from this Company Data

```
[
  {
    "company_name": "Anthropic",
    "company_type": "for_profit",
    "phone_number": "",
    "company_Email": "info@anthropic.com",
    "company_image": "02bb58922b3d4d64b082982f275896c8",
    "description": "Anthropic conducts AI research and develops AI products, including the Claude AI model family. The company focuses on building AI for human well-being, emphasizing safety in its research, policy work, and product design. Anthropic offers various Claude models, such as Opus and Sonnet, for AI-powered applications and custom experiences, supporting coding and AI agents.",
    "cmp_linkedin": "https://www.linkedin.com/company/anthropicresearch",
    "short_description": "Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.",
    "operating_status": "active",
    "cmp_twitter": "https://x.com/AnthropicAI",
    "cmp_facebook": "https://www.facebook.com/AnthropicAI",
    "cmp_employee_count": "c_01001_05000",
    "company_founded_on": "2021-01-01",
    "company_website": "https://www.anthropic.com",
    "company_category_groups_1": "Artificial Intelligence (AI)",
    "company_category_groups_2": "Data and Analytics",
    "company_category_groups_3": "Information Technology",
    "company_category_groups_4": "Science and Engineering",
    "company_category_groups_5": "Software",
    "company_category_groups_6": "",
    "company_investorCount": "71",
    "company_closedon": "",
    "company_num_funding_rounds": "14",
    "company_lastfunding_at": "2025-05-16",
    "company_fundingstage": "late_stage_venture",
    "company_last_equity_funding_type": "series_e",
    "company_city": "San Francisco",
    "company_country": "United States",
    "company_state": "",
    "company_region": "California",
    "company_continent": "North America",
    "company_location_group_identifiers_1": "San Francisco Bay Area",
    "company_location_group_identifiers_2": "West Coast",
    "company_location_group_identifiers_3": "Western US",
    "company_location_group_identifiers_4": "",
    "company_location_group_identifiers_5": "",
    "company_hq_postal_code": "94104-5401",
    "company_num_founders": "6",
    "company_revenue_range": "r_01000000",
    "company_num_lead_investors": "15",
    "company_num_articles": "4447",
    "company_equity_funding_total": "12904000000",
    "company_last_equity_funding_total": "3500000000",
    "company_last_funding_total": "2500000000",
    "company_funding_total": "20740377627",
    "All_investors_founders": "Daniela Amodei (Founder) , Dario Amodei (Founder) , Jack Clark (Founder) , Jared Kaplan (Founder) , Sam McCandlish (Founder) , Tom Brown (Founder) , General Catalyst (Investor) , Menlo Ventures (Investor) , Bessemer Venture Partners (Investor) , Lightspeed Venture Partners (Investor) , Google (Investor) "
  },
  {
    "company_name": "CoreWeave",
    "company_type": "for_profit",
    "phone_number": "+1 973-270-9737",
    "company_Email": "info@coreweave.com",
    "company_image": "xq3fe9rof9a6ar8yfwhk",
    "description": "CoreWeave provides a cloud infrastructure platform to support compute-intensive workloads across blockchain, artificial intelligence, visual effects, and related applications. The platform provides access to GPU resources tailored to varying model complexities and production requirements. \n\nIts infrastructure enables users to accelerate workflows through a GPU cloud system, allowing for the design of custom compute environments and adaptation to performance requirements.",
    "cmp_linkedin": "https://www.linkedin.com/company/coreweave",
    "short_description": "CoreWeave is a cloud-based AI infrastructure company offering GPU cloud services to simplify AI and machine learning workloads.",
    "operating_status": "active",
    "cmp_twitter": "https://x.com/CoreWeave",
    "cmp_facebook": "https://www.facebook.com/ConciergeRender",
    "cmp_employee_count": "c_00501_01000",
    "company_founded_on": "2017-01-01",
    "company_website": "https://www.coreweave.com",
    "company_category_groups_1": "Artificial Intelligence (AI)",
    "company_category_groups_2": "Data and Analytics",
    "company_category_groups_3": "Hardware",
    "company_category_groups_4": "Information Technology",
    "company_category_groups_5": "Internet Services",
    "company_category_groups_6": "Science and Engineering",
    "company_investorCount": "50",
    "company_closedon": "",
    "company_num_funding_rounds": "17",
    "company_lastfunding_at": "2025-07-31",
    "company_fundingstage": "ipo",
    "company_last_equity_funding_type": "series_unknown",
    "company_city": "Livingston",
    "company_country": "United States",
    "company_state": "",
    "company_region": "New Jersey",
    "company_continent": "North America",
    "company_location_group_identifiers_1": "Greater New York Area",
    "company_location_group_identifiers_2": "East Coast",
    "company_location_group_identifiers_3": "Northeastern US",
    "company_location_group_identifiers_4": "",
    "company_location_group_identifiers_5": "",
    "company_hq_postal_code": "07039",
    "company_num_founders": "4",
    "company_revenue_range": "r_01000000",
    "company_num_lead_investors": "10",
    "company_num_articles": "1354",
    "company_equity_funding_total": "1537700000",
    "company_last_equity_funding_total": "10000000",
    "company_last_funding_total": "2600000000",
    "company_funding_total": "19779700000",
    "All_investors_founders": "Brannin McBee (Founder) , Brian Venturo (Founder) , Michael Intrator (Founder) , Peter Salanki (Founder) , Citi (Investor) , BlackRock (Investor) , Deutsche Bank (Investor) , NVIDIA (Investor) , La Caisse (Investor) "
  }]
  
```

### How it works

Insert Any of Filter

- Company Name  : Enter Company Name
- Country : Enter Country Name
- State  : Enter State of Any Country
- Employee Size : select Employee size
- Company Industry : select Industry from list

Start Process for get data.

### Product Demo Video

https://youtu.be/BigQ-qmAmfM

# Actor input Schema

## `company_name` (type: `string`):

Company Name

## `Country` (type: `string`):

Country

## `State` (type: `string`):

Country

## `Emp_Size` (type: `string`):

Employee Size

## `Industy` (type: `string`):

Industry

## `Limit` (type: `string`):

Number of Record You want to scrap

## Actor input object example

```json
{
  "Emp_Size": "",
  "Industy": ""
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("bhansalisoft/company-data-scraper-with-investors-and-founder-detail").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("bhansalisoft/company-data-scraper-with-investors-and-founder-detail").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 bhansalisoft/company-data-scraper-with-investors-and-founder-detail --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bhansalisoft/company-data-scraper-with-investors-and-founder-detail"
        }
    }
}
```

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/yOODl3TNSHBWgATpH/builds/h0QbEwR4skqJmYfKv/openapi.json