# BetaList Startup Scraper (`jungle_synthesizer/betalist-upcoming-startup-launch-scraper`) Actor Scrape BetaList's catalog of early-stage startup launches — name, tagline, description, website, launch date, category tags, founders, logo, screenshots, and boosted flag. Ideal for B2B lead generation, newsletter prospecting, and startup research. - **URL**: https://apify.com/jungle\_synthesizer/betalist-upcoming-startup-launch-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## BetaList Startup Scraper Scrape BetaList's full catalog of early-stage startup launches. Extract startup profiles including name, tagline, description, website, launch date, category tags, founders, logo, screenshots, and boosted status. ### What it does This scraper crawls [BetaList](https://betalist.com) — a directory of pre-launch and recently-launched startups — and returns structured data on each listing. You can scrape the full catalog in discovery mode or provide specific startup URLs to target. **Two operating modes:** 1. **Catalog crawl** (default): Starts from the BetaList homepage and paginates through all listing pages, extracting one record per startup detail page. Use `maxItems` to cap the run. 2. **Direct URL mode**: Provide specific BetaList startup URLs via `startUrls`. The actor scrapes those detail pages directly, bypassing the listing crawler. ### Output fields | Field | Type | Description | |-------|------|-------------| | `slug` | string | URL slug (e.g. `fliptip-ai`) | | `name` | string | Startup name | | `tagline` | string | Short tagline from the listing | | `description` | string | Full description from the detail page | | `website` | string | Visit-redirect URL (resolves to the startup's actual site) | | `launch_date` | string | Featured launch date on BetaList | | `category_tags` | string | Topic tags (comma-separated) | | `founders` | string | Maker display names (comma-separated) | | `logo_url` | string | Logo image URL | | `screenshots` | string | Screenshot image URLs (comma-separated) | | `boosted` | boolean | Whether the startup is a paid-boosted listing | | `betalist_url` | string | Full BetaList detail page URL | | `upvotes` | integer | Always `null` — not available in public HTML | | `country` | string | Always `null` — not shown in public profiles | | `city` | string | Always `null` — not shown in public profiles | | `twitter_handle` | string | Always `null` — requires login to view | | `linkedin_url` | string | Always `null` — requires login to view | | `founder_emails` | string | Always `null` — requires login to view | > Note: Fields marked "requires login" or "not available in public HTML" are `null` because BetaList gates this data behind authentication. The scraper operates without credentials. ### Example output ```json { "slug": "transvoix", "name": "TransVoix", "tagline": "Make calls in different languages with your voice, tone, and accent", "description": "TransVoix lets you call someone who speaks a different language...", "website": "https://betalist.com/startups/transvoix/visit", "launch_date": "April 18, 2026", "upvotes": null, "category_tags": "Translation, AI Tools, SaaS, Telecommunications, Productivity", "founders": "Tobex", "founder_emails": null, "twitter_handle": null, "linkedin_url": null, "logo_url": "https://cdn.betalist.com/t8bgyqo4eptsfu90fhl9hxwqqzju", "screenshots": "https://resize.imagekit.co/...", "country": null, "city": null, "boosted": true, "betalist_url": "https://betalist.com/startups/transvoix" } ```` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `startUrls` | array | `[]` | Optional BetaList startup URLs to scrape directly. Leave empty to crawl the full catalog. | | `maxItems` | integer | 10 | Maximum number of records to collect. Set to `0` for unlimited (full catalog run). | ### Use cases - **B2B lead generation**: Find recently-launched startups that need tools and services - **Newsletter sponsorship**: Build a pipeline of founders to pitch for newsletter sponsorships - **Market research**: Track what categories of startups are launching each month - **Competitive intelligence**: Monitor new entrants in a product category - **Investor prospecting**: Identify early-stage companies before they appear on ProductHunt ### Notes - BetaList serves all content server-side — no JavaScript rendering required - The scraper respects BetaList's rate limits automatically with exponential backoff - Boosted listings (paid promotions) are flagged with `boosted: true` - The `website` field is a BetaList redirect URL — follow the redirect to reach the startup's actual homepage # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `startUrls` (type: `array`): Optional list of BetaList startup URLs to scrape (e.g. https://betalist.com/startups/example). Leave empty to crawl the full catalog from the listing pages. ## `maxItems` (type: `integer`): Maximum number of startup records to scrape. Set to 0 for unlimited. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://betalist.com/startups/fliptip-ai" } ], "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://betalist.com/startups/fliptip-ai" } ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/betalist-upcoming-startup-launch-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [{ "url": "https://betalist.com/startups/fliptip-ai" }], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/betalist-upcoming-startup-launch-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://betalist.com/startups/fliptip-ai" } ], "maxItems": 10 }' | apify call jungle_synthesizer/betalist-upcoming-startup-launch-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/betalist-upcoming-startup-launch-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BetaList Startup Scraper", "description": "Scrape BetaList's catalog of early-stage startup launches — name, tagline, description, website, launch date, category tags, founders, logo, screenshots, and boosted flag. Ideal for B2B lead generation, newsletter prospecting, and startup research.", "version": "0.1", "x-build-id": "PGLU5kLHUB5aAGaRE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~betalist-upcoming-startup-launch-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-betalist-upcoming-startup-launch-scraper", "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/jungle_synthesizer~betalist-upcoming-startup-launch-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-betalist-upcoming-startup-launch-scraper", "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/jungle_synthesizer~betalist-upcoming-startup-launch-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-betalist-upcoming-startup-launch-scraper", "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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional list of BetaList startup URLs to scrape (e.g. https://betalist.com/startups/example). Leave empty to crawl the full catalog from the listing pages.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of startup records to scrape. Set to 0 for unlimited." } } }, "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 } } } } } } } } } } ```