Startup Funding Rounds Monitor

Track recent startup funding announcements and export normalized funding-event records for sales prospecting, VC scouting, accelerator research, and market monitoring.

At a glance

• Primary job: turn public startup funding announcements into deduplicated funding lead records.
• Input: choose sources, date windows, keywords, round types, minimum amount, and result limits.
• Output: company, amount, round type, source link, published date, evidence text, confidence, and diagnostics.
• Best for: daily funding alerts, newly funded account lists, VC deal-flow scans, and category-specific market research.

Who is this for?

• Sales teams: find newly funded accounts before competitors reach them.
• VC and angel investors: scan fresh funding signals and source evidence.
• Accelerators and founders: monitor peer companies, round stages, and market categories.
• Market researchers: export repeatable funding datasets for spreadsheets and dashboards.

Input recipes

Recent funding leads

{
  "sources": ["techcrunch"],
  "maxAgeDays": 30,
  "maxResults": 25,
  "dedupe": true
}

Seed and Series A prospecting

{
  "sources": ["techcrunch"],
  "roundTypes": ["seed", "series a", "pre-seed"],
  "maxAgeDays": 90,
  "maxResults": 50,
  "dedupe": true
}

AI startup funding monitor

{
  "sources": ["techcrunch"],
  "keywords": ["AI", "artificial intelligence"],
  "maxAgeDays": 90,
  "maxResults": 50,
  "dedupe": true
}

Input example

{
  "sources": ["techcrunch"],
  "maxAgeDays": 30,
  "maxResults": 25,
  "dedupe": true
}

What data can you extract?

Example output

{
  "eventKey": "fora-60000000-series-d-2026-07-16",
  "companyName": "Fora",
  "fundingAmountText": "$60M",
  "fundingAmountUsd": 60000000,
  "roundType": "series d",
  "investors": ["Forerunner", "Tactile Ventures"],
  "source": "techcrunch",
  "sourceUrl": "https://techcrunch.com/...",
  "sourcePublishedAt": "2026-07-16T16:08:40.000Z",
  "headline": "AI-powered travel agency Fora hits unicorn status, raises $60M",
  "confidence": 0.95,
  "warnings": []
}

Tips for best results

• Start small: use maxResults: 25 while checking a new workflow.
• Use date windows: set maxAgeDays or sinceDate for scheduled monitoring.
• Review confidence: use confidence, evidenceText, and sourceUrl before high-value outreach.
• Expect public-source gaps: not every article contains amount, investors, and round type.

API usage

Node.js:

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("fetch_cat/startup-funding-rounds-monitor").call({
  sources: ["techcrunch"],
  maxAgeDays: 30,
  maxResults: 25,
  dedupe: true
});
console.log(run.defaultDatasetId);

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("fetch_cat/startup-funding-rounds-monitor").call(run_input={
    "sources": ["techcrunch"],
    "maxAgeDays": 30,
    "maxResults": 25,
    "dedupe": True,
})
print(run["defaultDatasetId"])

cURL:

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~startup-funding-rounds-monitor/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"sources":["techcrunch"],"maxAgeDays":30,"maxResults":25,"dedupe":true}'

MCP and AI agents

Use this Actor from MCP-compatible tools through the official Apify MCP Server.

claude mcp add --transport http apify "https://mcp.apify.com?tools=fetch_cat/startup-funding-rounds-monitor"

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=fetch_cat/startup-funding-rounds-monitor"
    }
  }
}

Example prompt: "Run Startup Funding Rounds Monitor for recent AI startup funding and summarize the highest-confidence records."

Limits and caveats

• Coverage: this Actor monitors selected public sources; it is not an exhaustive global funding database.
• Extraction: amount, round, investors, and company names are extracted from public evidence and may require review.
• Empty runs: narrow keywords, dates, or round filters can validly produce zero funding events.
• Freshness: source content can change after a run finishes.

Legality and responsible use

Process only data that you are allowed to access. Follow website terms, Apify's terms, and applicable laws.

Support

Open an issue from the Actor page if a run fails or output looks wrong. Include the run ID or run URL, input JSON, expected output, actual output, and one reproducible public URL when relevant.