# Funded Startup Tracker � TechCrunch + SEC EDGAR Fusion (`george.the.developer/funded-startup-tracker`) Actor Recent funding events from TechCrunch and SEC EDGAR with parsed amount, round, investors. Founders, hiring signals, cross-referenced sources. Pay per result, no monthly seats. - **URL**: https://apify.com/george.the.developer/funded-startup-tracker.md - **Developed by:** [George Kioko](https://apify.com/george.the.developer) (community) - **Categories:** Lead generation - **Stats:** 10 total users, 6 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Funded Startup Tracker — TechCrunch + SEC EDGAR Funding Data Recent funding events from TechCrunch and SEC EDGAR Form D filings, parsed into structured records with amount, round, investors, founders, and hiring signals. Pay per result. Built for SDR teams selling into newly funded startups. [![Funded Startup Tracker on Apify](https://img.shields.io/badge/Apify-Funded%20Startup%20Tracker-1f8f4d)](https://apify.com/george.the.developer/funded-startup-tracker) [![Pricing](https://img.shields.io/badge/Pricing-%240.04%20event%20%2F%20%240.10%20enriched-blue)](#pricing) ### Why this exists Crunchbase Pro is $99/mo per seat. A 5-person SDR team is $495/mo before they pull a single record. Tracxn is enterprise-only. Growth List sells one-time CSV dumps. TechCrunch and SEC EDGAR are public, but nobody ties the funding announcement to a parsed amount, round letter, lead investor, careers page, and EDGAR Form D in one call. This actor does that. One request returns a structured record. You pay $0.04 for a feed event, $0.10 for a fully-enriched company. ### How It Works ```` ``` ┌─────────────────────────────────────────────┐ │ Funded Startup Tracker API │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Source 1: TECHCRUNCH │ │ RSS feeds: /category/venture/feed/ │ │ /category/fundraising/feed/ │ │ Article body parsing for amount + round │ │ + investors via funding-NLP regex │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Source 2: SEC EDGAR │ │ efts.sec.gov full-text search Form D │ │ US private placement disclosures │ │ Cross-referenced by company name + date │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Step 3: PARSING + DEDUPE │ │ Headline regex: "X raises $Y Series Z" │ │ HTML entity decoder for numeric refs │ │ Investor list parsing: "led by X" │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Step 4: ENRICHMENT (+ $0.06 over base) │ │ Cross-ref EDGAR Form D filings │ │ Careers-page detection │ │ Founder name extraction │ │ Industry / vertical tagging │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Output: structured JSON per startup │ └─────────────────────────────────────────────┘ ``` ```` ### Endpoints | Method | Path | Purpose | Charge | |--------|------|---------|--------| | `GET` | `/` | Service info | none | | `GET` | `/health` | Health probe | none | | `GET` | `/recent?days=30&min_amount=1000000&stage=seriesA&limit=50` | Recent funding events from TC venture + fundraising RSS | $0.04 / event | | `GET` | `/enrich?company=stripe.com&days=365` | Single-company enrichment (funding history + EDGAR cross-ref + careers signals) | $0.10 / record | | `POST` | `/enrich/bulk` | Up to 25 companies in one call | $0.10 / record | ### Quick start ```bash TOKEN="" BASE="https://george-the-developer--funded-startup-tracker.apify.actor" ## Last 30 days of Series A rounds curl "$BASE/recent?days=30&stage=seriesA&limit=20" -H "Authorization: Bearer $TOKEN" ## Enrich one specific company curl "$BASE/enrich?company=stripe.com&days=365" -H "Authorization: Bearer $TOKEN" ```` ### Sample response (enriched) ```json { "company": "Corgi", "domain": "corgi.com", "funding": { "latest_round": "Series A", "amount_usd": 160000000, "announced_at": "2026-04-22", "lead_investor": "TCV", "all_investors": ["TCV", "Bessemer Venture Partners"], "total_raised_usd": 200000000, "source_url": "https://techcrunch.com/2026/04/22/corgi-raises-160m/", "source_type": "techcrunch" }, "company_data": { "industry": "Insurance technology", "headcount_est": "51-200", "hq_location": "New York, NY", "founded_year": 2023, "website": "https://corgi.com" }, "founders": [ { "name": "Cole Riccardi", "title": "CEO", "linkedin_url": null } ], "hiring_signals": { "open_roles_count": 7, "careers_page_url": "https://corgi.com/careers" }, "edgar_filings": [ { "form": "D", "filed_at": "2026-04-19", "offering_amount_usd": 160000000 } ] } ``` ### Pricing | Event | Price | What it covers | |-------|-------|----------------| | `funding-event` | $0.04 | One funded startup record from TechCrunch or EDGAR with parsed amount, round, investors | | `startup-enriched` | $0.10 | Funded company with founders, hiring signals, and EDGAR cross-references | Apify free tier covers around $5/mo out of the gate. No subscription, no minimum, no seat license. ### Use cases 1. **B2B SaaS SDRs** at tools targeting funded startups (Brex, Mercury, Ramp, Vanta, Carta, Modern Treasury). 2. **VC scouts** mapping recent deals by stage and vertical. 3. **Recruiting agencies** hunting talent at hot startups post-funding. 4. **M\&A advisors** building lists of recently capitalized targets. 5. **BD at infra companies** (AWS Activate, GCP Startup, Stripe Atlas) qualifying programs by funding signal. ### Data sources (v1) - **TechCrunch** — RSS feeds (open, no auth, no Cloudflare on RSS), article body parsed via funding-NLP regex - **SEC EDGAR** — `efts.sec.gov` full-text search for Form D filings (US private placement disclosures, fully public) - **Wellfound** — deferred to v2 (Datadome anti-bot, requires Go TLS bypass) ### Honest tradeoffs - Cold-start latency on first call after idle (10-30s while Apify wakes the Standby actor) - TechCrunch funding-NLP regex catches most explicit announcements; press-release wires (PRN, Business Wire) deferred to v2 - EDGAR Form D filings are US-only and lag the announcement by 15 days post-closing - Founder LinkedIn URL extraction is best-effort; v2 adds Wellfound team-page enrichment ### Docs and examples Full curl, Node, and Python examples at [github.com/the-ai-entrepreneur-ai-hub/funded-startup-tracker-docs](https://github.com/the-ai-entrepreneur-ai-hub/funded-startup-tracker-docs). ### More from this developer Other lead-gen actors built for the same value-driven, pay-per-result model: - **[ATS Hire-Trigger Intent Scraper](https://apify.com/george.the.developer/ats-hire-trigger-intent-scraper)** — Greenhouse + Lever + Ashby + SmartRecruiters jobs in one API. Pairs with this actor: see what funded startups are hiring next, intent-enriched. - **[Shopify DTC Brand Discovery](https://apify.com/george.the.developer/shopify-dtc-brand-discovery)** — Shopify stores by niche with tech-stack detection. $0.02 / $0.05 per store. For DTC-vertical funded brands. - **[Email Validator API](https://apify.com/george.the.developer/email-validator-api)** — SMTP probe, MX record check, disposable detection. $0.002 per email. Pairs for verifying founder emails attached to funding events. - **[Company Enrichment API](https://apify.com/george.the.developer/company-enrichment-api)** — Domain to company intel (employee count, industry, tech stack). $0.01 per company. Pairs with funding data for full target profiling. Full portfolio: [apify.com/george.the.developer](https://apify.com/george.the.developer). ### License MIT. # Actor input Schema ## `company` (type: `string`): Single company to enrich (e.g. 'stripe.com' or 'Stripe'). Returns funding history + founders + hiring signals. ## `days` (type: `integer`): Only return funding events from the last N days (1-365) ## `min_amount` (type: `integer`): Filter to rounds at or above this amount (in USD) ## `country` (type: `string`): Optional country filter (US, UK, CA, etc.). Best-effort match against EDGAR + TechCrunch. ## `stage` (type: `string`): Funding stage filter: seed, seriesA, seriesB, seriesC, growth, any ## `limit` (type: `integer`): Maximum number of records to return (1-200) ## `enrichment` (type: `string`): 'basic' returns funding event only, 'full' adds founders, hiring signals, cross-referenced sources ## `companies` (type: `array`): Optional: array of company domains to enrich in bulk (max 25) ## Actor input object example ```json { "days": 30, "min_amount": 1000000, "country": "US", "stage": "any", "limit": 50, "enrichment": "full" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("george.the.developer/funded-startup-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("george.the.developer/funded-startup-tracker").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 '{}' | apify call george.the.developer/funded-startup-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=george.the.developer/funded-startup-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funded Startup Tracker � TechCrunch + SEC EDGAR Fusion", "description": "Recent funding events from TechCrunch and SEC EDGAR with parsed amount, round, investors. Founders, hiring signals, cross-referenced sources. Pay per result, no monthly seats.", "version": "1.0", "x-build-id": "aKJTvtlH8eM2D9ZWr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/george.the.developer~funded-startup-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-george.the.developer-funded-startup-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/george.the.developer~funded-startup-tracker/runs": { "post": { "operationId": "runs-sync-george.the.developer-funded-startup-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/george.the.developer~funded-startup-tracker/run-sync": { "post": { "operationId": "run-sync-george.the.developer-funded-startup-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "company": { "title": "Company (domain or name)", "type": "string", "description": "Single company to enrich (e.g. 'stripe.com' or 'Stripe'). Returns funding history + founders + hiring signals." }, "days": { "title": "Days Window", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only return funding events from the last N days (1-365)", "default": 30 }, "min_amount": { "title": "Minimum Amount (USD)", "minimum": 0, "type": "integer", "description": "Filter to rounds at or above this amount (in USD)", "default": 1000000 }, "country": { "title": "Country Filter", "type": "string", "description": "Optional country filter (US, UK, CA, etc.). Best-effort match against EDGAR + TechCrunch.", "default": "US" }, "stage": { "title": "Stage Filter", "enum": [ "any", "seed", "seriesA", "seriesB", "seriesC", "seriesD", "growth" ], "type": "string", "description": "Funding stage filter: seed, seriesA, seriesB, seriesC, growth, any", "default": "any" }, "limit": { "title": "Max Results", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of records to return (1-200)", "default": 50 }, "enrichment": { "title": "Enrichment Level", "enum": [ "basic", "full" ], "type": "string", "description": "'basic' returns funding event only, 'full' adds founders, hiring signals, cross-referenced sources", "default": "full" }, "companies": { "title": "Bulk Companies", "maxItems": 25, "type": "array", "description": "Optional: array of company domains to enrich in bulk (max 25)", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```