# Python Website Scraper for B2B Leads (`complex_intricate_networks/python-web-scraper-and-data-engine`) Actor

Extract high-intent B2B leads with this powerful Python web scraper. This data scraper automates the discovery of recently funded startups, identifies founders, and tracks hiring status. Turn any site into a structured database with this advanced website scraper and scraping tool.

- **URL**: https://apify.com/complex\_intricate\_networks/python-web-scraper-and-data-engine.md
- **Developed by:** [CIN](https://apify.com/complex_intricate_networks) (community)
- **Categories:** Lead generation, Developer tools, Automation
- **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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/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

## 🚀 Python Web Scraper: Hyper-Targeted Lead & Data Intelligence Engine

### 💡 Overview

Stop manually hunting for leads. This **Python web scraper** is a high-performance **data scraper** designed to identify and extract high-value B2B opportunities in real-time. Whether you need a specialized **website scraper** to track startup funding rounds or a comprehensive **scraping tool** to monitor market shifts, this engine delivers "ready-to-close" leads directly into your dashboard.

Built for speed and precision, it bypasses the limitations of generic **web scraper Python** scripts by utilizing advanced manual queue management and deep-text data enrichment.

***

### 🔥 Key Features

- **Hyper-Targeted Extraction:** More than just a simple **data scraper**—it identifies Founders, Funding Amounts, and Valuation data directly from the source.
- **Hiring Intent Detection:** Automatically flags companies that are actively growing, giving you a massive advantage for recruitment or B2B sales.
- **SEO & AEO Optimized:** Data is structured to be easily indexed by search engines and interpreted by AI-driven search models.
- **Cost-Efficient Engine:** Optimized Cheerio-based logic significantly reduces compute costs compared to browser-heavy **scraping tools**.

***

### 🛠️ How it Works (The Logic)

This **website scraper** follows a three-stage intelligence protocol:

1. **Discovery:** Scans industry hubs (like TechCrunch Startups) to find the latest "Gold" articles.
2. **Extraction:** Uses specialized **web scraper Python** logic to pull names, funding numbers, and dates.
3. **Enrichment:** Visits the target company's actual website to verify LinkedIn profiles, tech stacks, and hiring status.

***

### 📦 Sample Data Output (High-Intent Leads)

Users receive structured, actionable data ready for any CRM (Salesforce, Hubspot, etc.). Below is a live sample of the intelligence this **data scraper** provides:

| Startup Name | Funding Amount | Founder Name | Hiring Status | LinkedIn Profile | Website |
| :--- | :--- | :--- | :--- | :--- | :--- |
| **Shield AI** | $12.7 Billion | Brandon Tseng | ✅ YES | [View Profile](https://www.linkedin.com/company/shield-ai/) | [Visit](https://shield.ai/) |
| **Aetherflux** | $2 Billion | Manuel Kroiss | ✅ YES | [View Profile](https://www.linkedin.com/company/aetherflux/) | [Visit](https://www.aetherflux.com/) |
| **Harvey** | $1.1 Billion | Winston Weinberg | ✅ YES | [View Profile](https://www.linkedin.com/company/harvey-ai/) | [Visit](https://www.harvey.ai/) |
| **Deccan AI** | $25 Million | (Detected in Article) | ✅ YES | [View Profile](https://www.linkedin.com/company/deccan-ai/) | [Visit](https://www.deccan.ai/) |
| **VITL** | $7.5 Million | (Detected in Article) | ✅ YES | [View Profile](https://www.linkedin.com/company/vitlrx/) | [Visit](https://vitlrx.com/) |

***

### 🚀 Getting Started

To use this **web scraper Python** tool on Apify:

1. **Input:** What kind of startups are you looking for? (e.g., 'Fintech startups funded last 7 days')
2. **Run:** The **data scraper** begins processing and enriching in the cloud.
3. **Export:** Download your "money-printing" leads in CSV, JSON, or Excel.

### 🛡️ Disclaimer

This **scraping tool** should be used in compliance with the Terms of Service of the target websites. Respect robots.txt and use professional proxies for large-scale **website scraper** tasks.

***

*Developed for B2B Growth Hackers and Data Analysts.*

# Actor input Schema

## `query` (type: `string`):

What kind of startups are you looking for? (e.g., 'Fintech startups funded last 7 days')

## `maxResults` (type: `integer`):

Number of startup websites to crawl.

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

Recommended to use Apify Proxy to avoid Google blocks.

## Actor input object example

```json
{
  "query": "recently funded AI startups",
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "query": "recently funded AI startups"
};

// Run the Actor and wait for it to finish
const run = await client.actor("complex_intricate_networks/python-web-scraper-and-data-engine").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 = { "query": "recently funded AI startups" }

# Run the Actor and wait for it to finish
run = client.actor("complex_intricate_networks/python-web-scraper-and-data-engine").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 '{
  "query": "recently funded AI startups"
}' |
apify call complex_intricate_networks/python-web-scraper-and-data-engine --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=complex_intricate_networks/python-web-scraper-and-data-engine",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/6DkFP4YqdEkScQLZ0/builds/KYevFTjziguvMwIs9/openapi.json