# Startup Funding Rounds Monitor (`fetch_cat/startup-funding-rounds-monitor`) Actor Find recent startup funding events from public news and filing sources for sales, VC scouting, market research, and founder monitoring. - **URL**: https://apify.com/fetch\_cat/startup-funding-rounds-monitor.md - **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community) - **Categories:** Lead generation, News - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 1,000 funding events This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## 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** ```json { "sources": ["techcrunch"], "maxAgeDays": 30, "maxResults": 25, "dedupe": true } ```` **Seed and Series A prospecting** ```json { "sources": ["techcrunch"], "roundTypes": ["seed", "series a", "pre-seed"], "maxAgeDays": 90, "maxResults": 50, "dedupe": true } ``` **AI startup funding monitor** ```json { "sources": ["techcrunch"], "keywords": ["AI", "artificial intelligence"], "maxAgeDays": 90, "maxResults": 50, "dedupe": true } ``` ### Input example ```json { "sources": ["techcrunch"], "maxAgeDays": 30, "maxResults": 25, "dedupe": true } ``` ### What data can you extract? | Field | Description | | --- | --- | | `eventKey` | Stable dedupe key for the funding event. | | `companyName` | Extracted company name when available. | | `fundingAmountText` / `fundingAmountUsd` | Original amount text and normalized USD amount. | | `roundType` | Seed, Series A, debt, grant, or other detected round type. | | `investors` | Investors detected from public evidence text. | | `source`, `sourceUrl`, `sourcePublishedAt` | Where the funding signal came from and when it was published. | | `headline`, `summary`, `evidenceText` | Human-reviewable source evidence. | | `categories` | Source categories and tags. | | `ycCompany`, `secFiling` | Optional public enrichment fields when available. | | `confidence` | Confidence score for the funding-event extraction. | | `sources`, `warnings` | Merged source references and source-level diagnostics. | ### Input configuration | Setting | JSON key | Use it for | Example | | --- | --- | --- | --- | | Sources | `sources` | Select public source lanes. | `["techcrunch"]` | | Keywords | `keywords` | Keep only matching sectors, themes, or terms. | `["AI"]` | | Round types | `roundTypes` | Focus on stages such as seed or Series A. | `["seed", "series a"]` | | Minimum amount | `minAmountUsd` | Skip extracted amounts below a threshold. | `5000000` | | Since date | `sinceDate` | Use an exact UTC start date. | `2026-07-01` | | Maximum age | `maxAgeDays` | Scan a recent rolling window. | `30` | | Maximum funding events | `maxResults` | Cap saved rows and spend. | `25` | | Deduplicate | `dedupe` | Merge repeated funding events. | `true` | | Try YC enrichment | `includeYcEnrichment` | Reserve optional public YC enrichment fields. | `false` | | Proxy configuration | `proxyConfiguration` | Optional Apify proxy settings. | `{ "useApifyProxy": false }` | ### Example output ```json { "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": [] } ``` ### Pricing | Event | Price | Charged when | | --- | --- | --- | | Run start | `$0.005` per run | Once when the Actor starts. | | Funding event | `$0.003` per saved funding event on the BRONZE tier | Each normalized funding event saved to the dataset. | Discount tiers: Free `$0.00345`, Bronze `$0.003`, Silver `$0.00234`, Gold `$0.0018`, Platinum `$0.0012`, Diamond `$0.00084` per funding event. ### 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: ```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: ```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: ```bash 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. ```bash claude mcp add --transport http apify "https://mcp.apify.com?tools=fetch_cat/startup-funding-rounds-monitor" ``` ```json { "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. ### Related actors - [Website Contact Finder](https://apify.com/fetch_cat/website-contact-finder) - [Bing Search Results Scraper](https://apify.com/fetch_cat/bing-search-results-scraper) - [Company Enrichment Scraper](https://apify.com/fetch_cat/company-enrichment-scraper) ### FAQ #### Can I export results? Yes. Apify datasets support JSON, CSV, Excel, XML, RSS, and API access. #### Why are some fields empty? Some source items do not expose every field publicly. The Actor leaves unavailable fields empty instead of guessing. #### Can I schedule this? Yes. Schedule daily or weekly runs and compare `eventKey` values across datasets to find new funding events. ### 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. # Actor input Schema ## `sources` (type: `array`): Public sources to scan. TechCrunch is the default live funding-news source; SEC and YC are optional enrichment lanes. ## `keywords` (type: `array`): Optional words or phrases that must appear in the headline, summary, categories, or extracted evidence. ## `roundTypes` (type: `array`): Optional funding rounds to keep, such as seed, series a, series b, pre-seed, debt, grant, or ipo. ## `minAmountUsd` (type: `integer`): Skip records with an extracted amount below this value. Records with no amount are kept unless this is greater than zero. ## `sinceDate` (type: `string`): Keep records published on or after this UTC date (YYYY-MM-DD). Overrides max age when both are set. ## `maxAgeDays` (type: `integer`): Keep records published within the last N days when since date is not set. ## `maxResults` (type: `integer`): Maximum number of deduplicated funding event records to save. ## `includeYcEnrichment` (type: `boolean`): Attempt lightweight public YC directory enrichment for matched company names when source data is available. ## `dedupe` (type: `boolean`): Merge records with the same normalized company, amount, round, and date. ## `proxyConfiguration` (type: `object`): Optional Apify proxy settings. Public sources usually work without a proxy. ## Actor input object example ```json { "sources": [ "techcrunch" ], "keywords": [], "roundTypes": [], "minAmountUsd": 0, "maxAgeDays": 20, "maxResults": 20, "includeYcEnrichment": false, "dedupe": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `fundingEvents` (type: `string`): No description # 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 = { "sources": [ "techcrunch" ], "maxResults": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("fetch_cat/startup-funding-rounds-monitor").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 = { "sources": ["techcrunch"], "maxResults": 20, } # Run the Actor and wait for it to finish run = client.actor("fetch_cat/startup-funding-rounds-monitor").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 '{ "sources": [ "techcrunch" ], "maxResults": 20 }' | apify call fetch_cat/startup-funding-rounds-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetch_cat/startup-funding-rounds-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Startup Funding Rounds Monitor", "description": "Find recent startup funding events from public news and filing sources for sales, VC scouting, market research, and founder monitoring.", "version": "0.1", "x-build-id": "9drfiigHdsyd65vjI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetch_cat~startup-funding-rounds-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetch_cat-startup-funding-rounds-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fetch_cat~startup-funding-rounds-monitor/runs": { "post": { "operationId": "runs-sync-fetch_cat-startup-funding-rounds-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fetch_cat~startup-funding-rounds-monitor/run-sync": { "post": { "operationId": "run-sync-fetch_cat-startup-funding-rounds-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sources": { "title": "Sources", "type": "array", "description": "Public sources to scan. TechCrunch is the default live funding-news source; SEC and YC are optional enrichment lanes.", "items": { "type": "string", "enum": [ "techcrunch", "sec", "yc" ], "enumTitles": [ "TechCrunch startup funding news", "SEC EDGAR filings", "Y Combinator directory enrichment" ] }, "default": [ "techcrunch" ] }, "keywords": { "title": "Keywords", "type": "array", "description": "Optional words or phrases that must appear in the headline, summary, categories, or extracted evidence.", "items": { "type": "string" }, "default": [] }, "roundTypes": { "title": "Round types", "type": "array", "description": "Optional funding rounds to keep, such as seed, series a, series b, pre-seed, debt, grant, or ipo.", "items": { "type": "string" }, "default": [] }, "minAmountUsd": { "title": "Minimum amount (USD)", "minimum": 0, "type": "integer", "description": "Skip records with an extracted amount below this value. Records with no amount are kept unless this is greater than zero.", "default": 0 }, "sinceDate": { "title": "Since date", "type": "string", "description": "Keep records published on or after this UTC date (YYYY-MM-DD). Overrides max age when both are set." }, "maxAgeDays": { "title": "Maximum age in days", "minimum": 1, "maximum": 365, "type": "integer", "description": "Keep records published within the last N days when since date is not set.", "default": 20 }, "maxResults": { "title": "Maximum funding events", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of deduplicated funding event records to save.", "default": 20 }, "includeYcEnrichment": { "title": "Try YC enrichment", "type": "boolean", "description": "Attempt lightweight public YC directory enrichment for matched company names when source data is available.", "default": false }, "dedupe": { "title": "Deduplicate funding events", "type": "boolean", "description": "Merge records with the same normalized company, amount, round, and date.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy settings. Public sources usually work without a proxy.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```