Startup Funding Rounds Monitor

Startup Funding Rounds Monitor turns recent TechCrunch startup funding announcements into structured records for sales prospecting, VC scouting and market research. Export company names, funding amounts, round types and source evidence for review. Coverage is limited to available recent TechCrunch articles, not a global funding database.

Quick start

1. Keep TechCrunch selected as the source.
2. Start with a small result limit and a recent date window.
3. Run the Actor, review the evidence in its dataset and export useful records.

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

Prefer a video guide? This short Apify walkthrough shows you how to set up and run an Actor. It uses a different Actor, but the setup steps are the same.

What you get

• Funding signals: detected company names, amounts, round types and available investor mentions.
• Reviewable evidence: headlines, summaries, article URLs and publication dates.
• Focused results: keyword, round-type, date and known-amount filters.
• Reusable identifiers: event keys for comparing records in your own workflow.

Company names and funding details are inferred from article text. Review the original announcement before using a record for outreach or investment research.

Who is it for?

• Sales teams: build a reviewable list of recently funded accounts.
• VC and angel investors: scan funding news and follow the original evidence.
• Founders and accelerators: research funding announcements in relevant sectors.
• Market researchers: collect a small funding-news dataset for analysis.

Input settings

Setting	JSON key	Purpose
Sources	sources	TechCrunch collects records. Legacy SEC and YC choices do not.
Keywords	keywords	Keep records containing any selected phrase. Default: no filter.
Round types	roundTypes	Match detected stages, such as seed or series a. Default: no filter.
Since date	sinceDate	UTC start date such as 2026-10-01. Overrides maximum age.
Maximum events	maxResults	Saved-row ceiling, up to 1000. Form default: 20.
Minimum USD amount	minAmountUsd	Exclude known amounts below the threshold. Default: 0.
Maximum age	maxAgeDays	Recent publication window. Form default: 20 days.
Deduplicate	dedupe	Skip repeated event keys in saved output. Default: true.
Try YC enrichment	includeYcEnrichment	Reserved legacy field with no current effect. Default: false.

API calls that omit maxResults use 25 and those omitting maxAgeDays use 30 days. Source records are already combined by event key, even when dedupe is disabled. Unknown funding amounts remain eligible when a minimum amount is set.

Input recipes

For seed and Series A prospecting, add "roundTypes": ["seed", "series a", "pre-seed"]. For AI-related funding, add "keywords": ["AI", "artificial intelligence"]. Keyword matching is case-insensitive substring matching, not a semantic sector classifier.

Output data

Each dataset row represents one detected funding event. Missing extracted values are null or empty arrays.

Field	Description
eventKey	Normalized company-or-source, amount, round and publication-day identifier.
companyName	Inferred company name, when found.
fundingAmountText, fundingAmountUsd	Detected dollar amount text and normalized USD amount.
roundType, investors	Detected round label and investor mentions.
source, sourceUrl, sourcePublishedAt	News source, original article and publication time.
detectedAt	Time the run collected the candidate.
headline, summary, evidenceText	Article context for human review.
categories	Available source categories.
confidence	Heuristic extraction score, not a verified probability.
sources, warnings	Source references and available source-level warnings.
companyUrl, ycCompany, secFiling	Reserved fields that currently remain null.

Illustrative shape only, not a captured funding announcement:

{"eventKey":"illustrative-event","companyName":null,"companyUrl":null,"fundingAmountText":null,"fundingAmountUsd":null,"roundType":null,"investors":[],"source":"techcrunch","sourceUrl":"https://example.com/funding-announcement","sourcePublishedAt":null,"detectedAt":"2026-10-25T00:00:00.000Z","headline":"Illustrative funding announcement","summary":null,"evidenceText":"Illustrative funding announcement","categories":[],"ycCompany":null,"secFiling":null,"confidence":0.5,"sources":[],"warnings":[]}

The run's key-value store also contains SOURCE_STATUS with saved and candidate counts, selected sources, warnings and the applied date filter. Review it when the dataset is empty.

Download your results

Open your run's dataset, choose Export and select JSON, CSV or Excel. JSON keeps nested fields together. CSV and Excel are useful when you want to review the records in a spreadsheet.

See Apify's download and export guide for the available formats and field options.

Pricing

This Actor uses pay-per-event pricing. The start event applies once when a run starts, including runs that save no funding events.

The result event applies to each funding event saved to the dataset. Source warnings and the run status record are not separate funding-event results. maxResults limits the number of saved events.

See the live Pricing tab for current rates and discounts.

Tips for best results

• Start small. Review up to 25 records before expanding your workflow.
• Check the evidence. Compare the headline, amount and company name with the source article.
• Broaden filters when needed. Narrow dates or stage filters can exclude all available articles.
• Compare event keys yourself. Store earlier keys in your workflow if you want to highlight newly seen events across runs.

Limits and caveats

• TechCrunch is the only active collection source. SEC and YC selections do not fetch records. YC enrichment is not implemented.
• Recent source availability limits coverage. A long date window does not retrieve an exhaustive historical archive.
• The Actor uses direct public access. It has no selectable connection strategy or proxy support.
• Company, amount, investor and round detection can be incomplete or inaccurate. Amounts in article text may not represent the funding round itself.
• Empty results can mean no matching candidates or an unavailable source. Check SOURCE_STATUS rather than treating an empty run as proof that no funding occurred.
• The result limit is a ceiling, not a guaranteed count. Articles may be combined into the same event.
• No login-gated databases, automatic cross-run alerts or built-in historical comparison are provided. This Actor is not affiliated with TechCrunch.

Automation and integrations

Save your settings for next time

Once you have an input that works for you, save it as an Apify task. This keeps your settings together so you can use them again without filling in the form from scratch.

Run on a schedule

Need fresh results regularly? You can schedule the Actor or a saved task to run at a time that suits you.

Each scheduled run collects the data again. If you want to compare results or highlight changes, add that step in your own workflow.

Send results to your other tools

Use n8n, Make or Zapier to connect this scraper to the rest of your workflow. For example, you could pass its results to an AI assistant or add records to a spreadsheet. Follow the Apify integration guides for your chosen tool.

For a custom connection, an Apify webhook can notify your app when a run finishes or fails. Your app can then fetch the results or handle the failure.

API usage

Want to collect this data from your own app or automation? The examples below send input to the scraper and show how to collect its results.

The Node.js and Python examples wait for the run to finish before reading its results. The cURL example starts the run and returns its details. Wait for that run to finish, then use its defaultDatasetId to fetch the results.

For setup instructions, see Apify's JavaScript client guide, Python client guide and Actor runs API reference.

cURL

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

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});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/startup-funding-rounds-monitor').call(
    run_input={'sources': ['techcrunch'], 'maxAgeDays': 30, 'maxResults': 25, 'dedupe': True}
)
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

MCP and AI agents

You can ask your AI assistant to collect data with Startup Funding Rounds Monitor and help you work with the results. The scraper returns the data, and your assistant can then summarize it, compare records or prepare notes.

Connect your assistant through the Apify MCP server. MCP gives your assistant a way to find this scraper, run it and read the results. Follow the official setup and sign-in guide for your app.

Easier setup with an Apify plugin

If you use a supported coding assistant, the official Apify plugin can set up the connection for you. It connects your assistant to Apify and includes instructions for common tasks. Follow the guide for your particular app.

Use Apify AI in Console

Prefer to keep everything in Apify? Open Apify AI in Console and ask it to find Fetch Cat's Startup Funding Rounds Monitor. You can describe the data you want and ask questions about the results.

Apify AI is currently in beta. It asks for confirmation before starting an Actor, and normal run charges apply.

Choose your assistant

• Claude and Claude Code (Anthropic): Apify setup guide.
• ChatGPT and Codex (OpenAI): Apify setup guides.
• Grok Bot (xAI): Apify plugin guide.
• Gemini CLI (Google): MCP server setup guide. Use the server URL below with the HTTP configuration supported by Gemini CLI.

Connect just this scraper

To keep your setup focused on this scraper, add this server configuration to a compatible MCP client:

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

Sign in to Apify when your client asks. If your client uses a Bearer token instead, follow its setup guide and keep the token in its secure configuration. Configuration formats vary by app, so use the linked guide if your client needs a different format.

Use Apify's general server

Already connected to the general Apify MCP server at https://mcp.apify.com? You can use it to find this scraper without adding another server. Ask your assistant to use Startup Funding Rounds Monitor by Fetch Cat, or give it the identifier fetch_cat/startup-funding-rounds-monitor.

Your assistant can check the available settings and retrieve the results from the returned run. If the run is still working, it should follow that run rather than start it again. Both connection options use Apify's hosted service.

Example requests

• “Get up to 25 recent startup funding announcements and prepare a spreadsheet with company names, amounts and source links.”
• “Find recent AI-related startup funding news and summarize the evidence behind each result.”
• “Collect recent seed and Series A funding announcements and group the returned records by round type.”

Normal Apify charges apply. Check the live Pricing tab before asking your assistant to run a larger batch.

Pay with x402

If your AI agent has a funded wallet, it can pay for Apify usage through x402. This experimental option lets an agent use Apify without a conventional account.

Apify AGI provides a prepaid API token with a spending cap after payment. Your agent can use that token to run this scraper through the Apify API or an authenticated MCP connection.

Some MCP setups also support paying for each request directly. That is a different payment option, so check the official guide for its availability.

Follow the official guide for wallet setup, supported payment options and current terms. Apify handles the payments. Keep wallet keys and payment tokens in your agent's secure configuration.

Other ways for agents to pay

Apify also supports MPP for prepaid access through AGI and Skyfire for eligible Actors. If your agent already uses one of these, see the agentic payment guide to choose the right setup.

Enrich newly funded accounts

After reviewing a funding event, find the company's exact LinkedIn URL and use LinkedIn Public Company Profiles Scraper. Pass a verified website domain to Website Contact Finder for a separate contact lookup. Preserve source evidence so later summaries remain reviewable.

FAQ

Can I export startup funding data as CSV or JSON?

Yes. Open the run's dataset and choose an export format, or retrieve the records through the API.

Does this collect SEC filings or YC company details?

No. TechCrunch is the only active collection source. The legacy SEC, YC and enrichment settings do not add data.

Why are company and funding details missing?

Not every article names a company, amount, stage or investor in the text available to the Actor. The extraction is heuristic. Reserved company website, YC and SEC fields remain empty.

Is this an alternative to a complete funding database?

No. It is a bounded funding-news collector. Use the article evidence to review its signals, and use a dedicated database when you need verified or exhaustive historical funding coverage.

Can an AI assistant run it?

Yes. Use the authenticated API or the Apify MCP setup above. The assistant can summarize returned records but does not expand the scraper's source coverage.

What happens when there are no matching events?

The dataset can be empty. Inspect SOURCE_STATUS for candidate counts and source warnings. The start event still applies. Current rates are in the live Pricing tab.

Related Actors

• Website Contact Finder — Find contact information from a verified company website.
• LinkedIn Public Company Profiles Scraper — Review public company profile information.
• Bing Search Results Scraper — Research company names and announcement coverage.
• Google News Scraper — Find related public news coverage.
• Y Combinator Companies Scraper — Collect public Y Combinator company directory records for startup-reference research. These records are not a funding-round feed.

Support and feedback

For custom additions or integrations, email hello@fetchcat.dev.

Found an error or have a feature request? Open an issue with the run URL, a non-sensitive input example and what you expected.

Need help sharing it? See Apify’s guide to sharing a run when reporting an issue. Sharing a run can give the developer access to its input, logs and results, so use a run that contains no sensitive data. Please leave out API tokens, passwords, cookies, private documents and personal data. Use a public sample URL or a redacted example instead.

Tried this scraper? We'd love to hear how it worked for you. Leave a review to help others choose the right tool and help us improve it. Your feedback means a lot to us.

Made with care for curious people, AI agents and the possibilities in data. ♥