Global Startup Funding News & VC Deals Scraper
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from $5.00 / 1,000 results
Global Startup Funding News & VC Deals Scraper
Scrape daily startup funding rounds, investors, and VC deal flow from TechCrunch, Crunchbase, and FinSMEs. Export structured B2B leads to JSON or CSV. Built for SDR sales triggers, investor tracking, and AI agents. Fast, Python-powered extraction with zero login required.
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from $5.00 / 1,000 results
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Extract real-time startup investment rounds, funding amounts, round types, lead investors, and VC deal flow from TechCrunch, Crunchbase News, and FinSMEs.
Built on high-speed Python Crawlee architecture, this Actor simultaneously monitors primary global tech news feeds and transforms unstructured announcements into clean, standardized Universal Data Model records. Designed for SDR outbound triggers, VC market intelligence, CRM pipeline automation, and autonomous Model Context Protocol (MCP) AI agents.
🚀 How to Scrape Startup Funding in 5 Steps
- Create a free Apify account.
- Open Global Startup Funding News & VC Deals Scraper in the Apify Console.
- Configure your Input: Select your time range (e.g., Today (Last 24h), Last 7 days) and max page budget.
- Click "Start" to launch the high-speed Python crawler.
- Download your leads in JSON, CSV, or Excel, or stream them directly into your CRM or AI agent workflow.
🌟 Key Features & Competitive Advantages
- ⚡ Multi-Source Real-Time Aggregation: Scrapes TechCrunch, Crunchbase News, and FinSMEs simultaneously to catch rounds the moment they hit the press.
- 🧠 Universal Data Model: Normalizes disparate headlines and editorial styles into uniform fields (
company_name,amount,round_type,investors,date_announced) ready for direct database ingestion. - 🎯 Noise & Macro Filtering: Intelligent regex filtering automatically discards conference promotions (e.g., TC Disrupt, Battlefield), ticket deadlines, layoffs, and macro market analyses.
- 🛡️ Zero Login & Anti-Blocking: Extracts public data without requiring user accounts, cookies, or expensive API subscriptions. Natively integrates with Apify Proxy to prevent rate limits.
- 🤖 MCP & AI-Agent Ready (AEO): Formatted for Answer Engine Optimization and direct integration into autonomous agents via Model Context Protocol.
💼 Business Use Cases & Workflow Recipes
🎯 SDR Peak-Buying-Window Outreach
- Goal: Contact fast-growing startups within 24 hours of closing fresh capital when purchasing intent and expansion budgets are at their highest.
- Recipe: Schedule this Actor to run Daily at 08:00 UTC with
dateFilter: "0"(Today only). Route output records via Webhook or Zapier/Make directly into your CRM (HubSpot, Salesforce) or outbound sequencing tools (Instantly, Apollo).
📊 Venture Capital & Market Mapping
- Goal: Track competitor fund deployments, co-investment syndicates, and emerging sector verticals.
- Recipe: Run weekly with
dateFilter: "7". Combine scraped leads with Company Signal - AI Company Research to automatically evaluate headcount growth, web traffic, and tech stacks of newly funded firms.
⬇️ Input Configuration
Configure inputs directly through the Apify Console UI or pass a JSON payload via API:
Input JSON Example
{"dateFilter": "7","maxRequestsPerCrawl": 60,"proxyConfiguration": {"useApifyProxy": true}}
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
dateFilter | String | "7" | Time window to scrape. Options: "0" (Last 24h), "3", "7", "14", "30". |
maxRequestsPerCrawl | Integer | 60 | Maximum page requests across all sources to control your compute budget. |
proxyConfiguration | Object | {"useApifyProxy": true} | Apify Proxy settings to prevent IP bans and rate limits. |
⬆️ Output Data Schema & Live Samples
Every scraped record is validated against the Universal Data Model and saved into your dataset in JSON, CSV, or Excel formats.
Sample Output (JSON Array)
[{"company_name": "Mach9","amount": "$34M","round_type": "Series A","investors": ["First Round Capital"],"date_announced": "2026-10-21T06:00:00-07:00","source_url": "[https://techcrunch.com/2026/10/21/mach9-raises-34m-after-pivoting-to-ai-cad-software/](https://techcrunch.com/2026/10/21/mach9-raises-34m-after-pivoting-to-ai-cad-software/)","article_title": "Mach9 raises $34M after pivoting to AI CAD software","source_domain": "techcrunch.com","scraped_at": "2026-10-22T15:06:10.872264+00:00","confidence_score": "High"},{"company_name": "Coherence Neuro","amount": "$45M","round_type": "Series A","investors": ["Founders Fund"],"date_announced": "2026-10-22T14:04:24+01:00","source_url": "[https://www.finsmes.com/2026/10/coherence-neuro-raises-45m-in-series-a-funding.html](https://www.finsmes.com/2026/10/coherence-neuro-raises-45m-in-series-a-funding.html)","article_title": "Coherence Neuro Raises $45M in Series A Funding","source_domain": "[www.finsmes.com](https://www.finsmes.com)","scraped_at": "2026-10-22T15:06:34.871155+00:00","confidence_score": "High"},{"company_name": "Slingshot Insurance","amount": "$27M","round_type": "Seed","investors": [],"date_announced": "2026-10-22T15:06:44.490000+00:00","source_url": "[https://www.finsmes.com/2026/10/slingshot-insurance-raises-27m-in-seed-funding.html](https://www.finsmes.com/2026/10/slingshot-insurance-raises-27m-in-seed-funding.html)","article_title": "Slingshot Insurance Raises $27M in Seed Funding","source_domain": "[www.finsmes.com](https://www.finsmes.com)","scraped_at": "2026-10-22T15:06:44.490000+00:00","confidence_score": "High"},{"company_name": "Pascal","amount": "$8.5M","round_type": "grant","investors": ["Sazze Partners"],"date_announced": "2026-10-22T11:21:07+01:00","source_url": "[https://www.finsmes.com/2026/10/pascal-raises-8-5m-in-additional-funding.html](https://www.finsmes.com/2026/10/pascal-raises-8-5m-in-additional-funding.html)","article_title": "Pascal Raises $8.5M in Additional Funding","source_domain": "[www.finsmes.com](https://www.finsmes.com)","scraped_at": "2026-10-22T15:06:35.978148+00:00","confidence_score": "High"}]
Sample Output (Tabular / CSV Preview)
| company_name | amount | round_type | investors | date_announced | source_domain |
|---|---|---|---|---|---|
| Mach9 | $34M | Series A | First Round Capital | 2026-10-21 | techcrunch.com |
| Coherence Neuro | $45M | Series A | Founders Fund | 2026-10-22 | www.finsmes.com |
| Slingshot Insurance | $27M | Seed | (Undisclosed) | 2026-10-22 | www.finsmes.com |
| Pascal | $8.5M | grant | Sazze Partners | 2026-10-22 | www.finsmes.com |
| Coast | $35M | Seed | (Undisclosed) | 2026-10-22 | www.finsmes.com |
Diagnostic Error Output Schema
If an article encounters network issues or non-standard formatting, a diagnostic record is pushed so downstream integrations are alerted rather than breaking:
{"source_url": "[https://techcrunch.com/sample-non-funding-event/](https://techcrunch.com/sample-non-funding-event/)","error": "Article content unavailable or non-funding format","errorCode": "PARSE_ERROR","scraped_at": "2026-10-22T15:06:11.000000+00:00"}
🤖 MCP Server & AI Agent Integration
This Actor is fully compatible with the Model Context Protocol (MCP), allowing AI models (Claude Desktop, Cursor, LibreChat, CrewAI) to pull live venture capital funding rounds directly into their context window.
Connecting via Apify MCP
- Connect your MCP client to the Apify MCP endpoint (
https://mcp.apify.com). - Add
complex_intricate_networks/global-funding-news-scraperto your agent tools. - Prompt your agent with natural language:
"Find all AI startups that raised a Series A or Series B round in the last 7 days and format them into an executive investment briefing."
💻 Programmatic API Access (SDKs)
Run this Actor programmatically in Python or JavaScript:
Python Client (apify-client)
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("complex_intricate_networks/global-funding-news-scraper").call(run_input={"dateFilter": "7","maxRequestsPerCrawl": 60})for item in client.dataset(run["defaultDatasetId"]).iterate_items():if "company_name" in item:print(f"💰 {item['company_name']} raised {item['amount']} ({item['round_type']}) - Source: {item['source_domain']}")
JavaScript Client (apify-client)
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('complex_intricate_networks/global-funding-news-scraper').call({dateFilter: '7',maxRequestsPerCrawl: 60,});const { items } = await client.dataset(run.defaultDatasetId).listItems();items.forEach((item) => {if (item.company_name) {console.log(`💰 ${item.company_name} raised ${item.amount} (${item.round_type})`);}});
🔄 Expand Your B2B Intelligence Ecosystem
Chain this Actor with complementary tools to build an automated end-to-end prospecting machine:
- Company Signal - AI Company Research: Extract firmographics, web traffic, and tech stacks for newly funded startups.
- Startup Hiring Signals & Linkedin Finder: Extract verified founder LinkedIn profiles and monitor active hiring status.
- LinkedIn 24h Jobs Scraper: Monitor open roles at recently funded companies.
❓ Frequently Asked Questions (FAQ)
Is this an alternative to expensive Crunchbase Pro subscriptions?
Yes. This Actor monitors primary news feeds from TechCrunch, Crunchbase News, and FinSMEs to deliver public venture capital announcements without costly annual licensing fees.
Can I run this scraper on an automated schedule?
Yes. Using Apify Schedules, you can set the Actor to run every morning. Combine it with Webhooks to deliver fresh deals directly to Slack, Google Sheets, or your CRM.
How does date filtering work?
The scraper parses the article's publication timestamp (<time> or article:published_time metadata) and checks it against UTC. Any article published outside your chosen dateFilter is automatically skipped to save crawl budget.
Is web scraping public startup funding news legal?
Yes. This scraper strictly extracts publicly available corporate press releases and editorial announcements in compliance with global public web data access guidelines.