# JustLaunched Scraper — New Startups & SaaS Launches (`vulnv/justlaunched-scraper`) Actor Scrape newly launched startups and SaaS products from JustLaunched.fyi. Filter by category, keyword, launch date and upvotes. Extract names, taglines, descriptions, websites, logos, categories, launch dates, upvotes and social links. - **URL**: https://apify.com/vulnv/justlaunched-scraper.md - **Developed by:** [VulnV](https://apify.com/vulnv) (community) - **Categories:** Lead generation, Business, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 results 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 ## JustLaunched Scraper — New Startups & SaaS Launches Scrape newly launched **startups and SaaS products** from [JustLaunched.fyi](https://justlaunched.fyi) into clean, structured data. Filter by **category**, **keyword**, **launch date** or **upvotes**, and export everything you need to track new launches, build lead lists, or feed a market-intelligence pipeline. Fast and lightweight — it talks to the site's server-rendered pages directly (no headless browser), so runs are quick and cheap. No proxy required. ### ✨ Features - **Full startup records** — name, tagline, full description, product website, category, launch date, upvotes, logo, product images, and Twitter/X & LinkedIn links. - **Flexible targeting** — sweep the entire directory, or filter by category, free-text search, launch-date range (down to a single day), minimum upvotes, and listing tier. - **Specific startups** — pass a list of startup URLs or slugs to scrape only those. - **Daily monitoring** — set the same date in "Launched on/after" and "Launched on/before" to grab just one day's launches — ideal for a scheduled daily run. - **Clean output** — one record per startup, ready for the dataset table, CSV, Excel, JSON or API. ### 🚀 How to use 1. Click **Try for free**. 2. (Optional) Set any filters — leave them all empty to scrape the whole directory. 3. Run the Actor and download the results as JSON, CSV, Excel, or pull them via the API. ### ⚙️ Input | Field | Type | Description | |-------|------|-------------| | `searchQuery` | string | Free-text search across names, taglines and descriptions. When set, categories are ignored. | | `categories` | array | Limit to one or more categories (AI & Machine Learning, Developer Tools, Finance, …). | | `launchedAfter` | string | Only startups launched on/after this day (`YYYY-MM-DD`). | | `launchedBefore` | string | Only startups launched on/before this day (`YYYY-MM-DD`). | | `minUpvotes` | integer | Only startups with at least this many upvotes. | | `tiers` | array | Filter by listing tier: `standard` and/or `promoted`. | | `sortBy` | string | `newest` (by launch date) or `upvotes`. | | `startupUrls` | array | Scrape only these startups (full URLs or bare slugs). Overrides other filters. | | `maxResults` | integer | Maximum number of records to store. | | `proxyConfiguration` | object | Optional. Not required — the site is reachable directly. | #### Example input ```json { "categories": ["ai-machine-learning", "developer-tools"], "minUpvotes": 1, "sortBy": "upvotes", "maxResults": 100 } ```` ### 📦 Output Each record looks like this: ```json { "id": 684, "slug": "midway", "name": "Midway", "tagline": "Find meet-up destinations with direct flights from multiple cities", "description": "Planning a trip when everyone lives somewhere different usually means checking flights one city at a time... Free, no account needed, up to 6 departure cities.", "url": "https://www.midway.travel/", "logo_url": "https://resize.imagekit.co/.../logo.png", "category": "Other", "tier": "standard", "upvote_count": 0, "twitter_url": null, "linkedin_url": null, "launch_date": "2026-06-15", "created_at": "2026-06-15 17:35:46", "approved_at": "2026-06-15 17:35:46", "product_image_urls": [], "submitter_name": "JustLaunched Editorial", "source": "betalist", "detail_url": "https://justlaunched.fyi/startup/midway" } ``` The **Overview** dataset view shows the key columns (name, tagline, category, upvotes, tier, launch date, website); the **Full details** view adds the description, logo, product images and social links. ### 💡 Use cases - **Lead generation** — build lists of fresh startups in your target categories with their websites and socials. - **Competitive & market intelligence** — track what's launching in AI, dev tools, fintech, etc. - **Daily launch digest** — schedule a one-day run to feed a newsletter, Slack channel or Notion database. - **Sales prospecting** — filter promoted, high-upvote launches and reach out to founders. ### 💳 Pricing This Actor is monetized on a **pay-per-result** basis: you pay a small fee for each startup record returned. Runs are lightweight (direct page fetches, no headless browser), so they finish fast. New users can try it on the Apify free tier (capped sample). See the **Pricing** tab on the Actor's page for the current rate. ### ❓ FAQ **Do I need a proxy?** No. The site is reachable directly, so no proxy or special configuration is needed. A proxy option is available if you want it. **How many results can I get in one run?** Each list view on JustLaunched returns up to 200 records. Leave the filters empty and the Actor sweeps every category and de-duplicates to return the full directory. **How do I scrape just today's launches?** Set both `launchedAfter` and `launchedBefore` to the same date (e.g. `2026-06-15`). Schedule it daily for an automated launch feed. **Is scraping this data legal?** The Actor collects only publicly available information shown on the JustLaunched website. As with any scraping, use the data responsibly and in line with applicable laws and the site's terms. ### 🛠️ Our Other Scrapers Explore our full suite of scraping tools to power your data needs: - **[Yelp Business Scraper](https://apify.com/vulnv/yelp-scraper)** — Scrape Yelp business listings, ratings and contact details. - **[Google Maps Scraper](https://apify.com/vulnv/google-maps-scraper)** — Extract Google Maps places, reviews and contact info. - **[Reddit Scrapers](https://apify.com/vulnv)** — Pull Reddit posts, comments and user data at scale. - **[MSC Cruises Scraper](https://apify.com/vulnv/msc-cruises-scraper)** — Cruise itineraries, cabin prices and deals. 📬 **Need help or have a feature request?** Contact us at or visit our [Apify profile](https://apify.com/vulnv). # Actor input Schema ## `searchQuery` (type: `string`): Free-text search across startup names, taglines and descriptions (e.g. 'ai agent', 'crm'). When set, categories are ignored. ## `categories` (type: `array`): Limit results to one or more categories. Leave empty (and with no search query) to sweep every category. ## `launchedAfter` (type: `string`): Only include startups launched on or after this day (format: YYYY-MM-DD). Use the same value in 'Launched on/before' to scrape a single day's launches. ## `launchedBefore` (type: `string`): Only include startups launched on or before this day (format: YYYY-MM-DD). ## `minUpvotes` (type: `integer`): Only include startups with at least this many upvotes. ## `tiers` (type: `array`): Filter by listing tier. Leave empty for all. ## `sortBy` (type: `string`): Order of the stored results. ## `startupUrls` (type: `array`): Scrape only these specific startups. Accepts full URLs (https://justlaunched.fyi/startup/) or bare slugs. When set, all other filters are ignored. ## `maxResults` (type: `integer`): Maximum number of startup records to store. ## `proxyConfiguration` (type: `object`): Optional proxy for outbound requests. Not required — the site is reachable directly — but available if you want to route traffic through Apify Proxy. ## Actor input object example ```json { "sortBy": "newest", "maxResults": 50 } ``` # 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 = { "searchQuery": "", "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("vulnv/justlaunched-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 = { "searchQuery": "", "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("vulnv/justlaunched-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 '{ "searchQuery": "", "maxResults": 50 }' | apify call vulnv/justlaunched-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vulnv/justlaunched-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "JustLaunched Scraper — New Startups & SaaS Launches", "description": "Scrape newly launched startups and SaaS products from JustLaunched.fyi. Filter by category, keyword, launch date and upvotes. Extract names, taglines, descriptions, websites, logos, categories, launch dates, upvotes and social links.", "version": "1.0", "x-build-id": "q83NYIxDJYI8FipZN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vulnv~justlaunched-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vulnv-justlaunched-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vulnv~justlaunched-scraper/runs": { "post": { "operationId": "runs-sync-vulnv-justlaunched-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vulnv~justlaunched-scraper/run-sync": { "post": { "operationId": "run-sync-vulnv-justlaunched-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQuery": { "title": "Search query", "type": "string", "description": "Free-text search across startup names, taglines and descriptions (e.g. 'ai agent', 'crm'). When set, categories are ignored." }, "categories": { "title": "Categories", "type": "array", "description": "Limit results to one or more categories. Leave empty (and with no search query) to sweep every category.", "items": { "type": "string", "enum": [ "ai-machine-learning", "analytics", "developer-tools", "e-commerce", "education", "finance", "health-wellness", "hr-recruiting", "marketing", "other", "productivity", "sales-crm", "security", "social-community" ], "enumTitles": [ "AI & Machine Learning", "Analytics", "Developer Tools", "E-Commerce", "Education", "Finance", "Health & Wellness", "HR & Recruiting", "Marketing", "Other", "Productivity", "Sales & CRM", "Security", "Social & Community" ] } }, "launchedAfter": { "title": "Launched on/after", "type": "string", "description": "Only include startups launched on or after this day (format: YYYY-MM-DD). Use the same value in 'Launched on/before' to scrape a single day's launches." }, "launchedBefore": { "title": "Launched on/before", "type": "string", "description": "Only include startups launched on or before this day (format: YYYY-MM-DD)." }, "minUpvotes": { "title": "Minimum upvotes", "minimum": 0, "type": "integer", "description": "Only include startups with at least this many upvotes." }, "tiers": { "title": "Listing tier", "type": "array", "description": "Filter by listing tier. Leave empty for all.", "items": { "type": "string", "enum": [ "standard", "promoted" ], "enumTitles": [ "Standard", "Promoted" ] } }, "sortBy": { "title": "Sort by", "enum": [ "newest", "upvotes" ], "type": "string", "description": "Order of the stored results.", "default": "newest" }, "startupUrls": { "title": "Specific startup URLs", "type": "array", "description": "Scrape only these specific startups. Accepts full URLs (https://justlaunched.fyi/startup/) or bare slugs. When set, all other filters are ignored.", "items": { "type": "string" } }, "maxResults": { "title": "Maximum results", "minimum": 1, "type": "integer", "description": "Maximum number of startup records to store.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy for outbound requests. Not required — the site is reachable directly — but available if you want to route traffic through Apify Proxy." } } }, "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 } } } } } } } } } } ```