# Techstars Scraper - Low-costπŸ’²πŸ”₯πŸš€πŸ’ (`delectable_incubator/techstars-scraper-low-cost`) Actor πŸš€ Scrape Techstars startup and portfolio company data with advanced search filters by industry, location, or keyword. Extract company names, founders, descriptions, websites, funding details, and more. Ideal for lead generation, startup research, market intelligence, and AI automation. πŸ“Š - **URL**: https://apify.com/delectable\_incubator/techstars-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 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

PrimeScrape Techstars Company Scraper

--- ## πŸš€πŸ’ Techstars Company Scraper 🌍 | Bulk Startup Portfolio Scraper | Apify Actor ### πŸš€ Extract Techstars Startup Portfolio Data in Seconds (No Code) The **Techstars Company Scraper (Apify Actor)** is a powerful, scalable, and SEO-optimized startup intelligence tool designed to extract structured company data directly from the Techstars portfolio. Scrape thousands of startup profiles in bulk, collect company information, accelerator program details, founder ecosystem data, investment intelligence, and export everything for lead generation, venture capital research, startup analytics, AI datasets, CRM enrichment, and business intelligence. --- ## πŸ”₯ Why This Techstars Scraper? βœ” Best Techstars Company Scraper on Apify βœ” Supports Bulk URL scraping (multi-search) βœ” Fast & scalable startup data extraction βœ” 100% structured JSON / CSV / Excel output βœ” Perfect for VC firms, investors & startup analysts βœ” Ideal for lead generation & startup intelligence βœ” No coding required --- ## 🎯 What This Scraper Does (Techstars Company Data Extraction) This Apify Actor extracts real-time startup information directly from Techstars portfolio search results. #### πŸ“Œ Core Features βœ… Scrape Techstars startup portfolio pages βœ… Bulk URL scraping (SEO BOOST πŸš€) βœ… Industry-specific portfolio scraping βœ… Country & region filtering βœ… Accelerator program extraction βœ… Automatic pagination handling βœ… Extract startup descriptions βœ… Extract official websites βœ… Extract LinkedIn profiles βœ… Extract Twitter profiles βœ… Extract startup logos βœ… Extract company locations βœ… Extract accelerator cohorts βœ… Extract program names βœ… Extract unicorn status βœ… Extract exit status βœ… Clean structured dataset output βœ… High-speed extraction engine --- ## ⚑ Input Configuration (Simple & Powerful) ### πŸ”₯ BULK URL MODE (SEO BOOST πŸš€) ```` { "urls": \[ "https://www.techstars.com/portfolio?industry\_vertical=Artificial+Intelligence", "https://www.techstars.com/portfolio?industry\_vertical=Fintech", "https://www.techstars.com/portfolio?industry\_vertical=Climate+Tech", "https://www.techstars.com/portfolio?industry\_vertical=HealthTech" ], "max\_items": 500 } ``` --- ## πŸ“Š Extracted Company Data (Structured Output) | Field | Description | |------|-------------| | company_id | Unique company identifier | | company_name | Startup name | | brief_description | Business description | | city | Company city | | state_province | State or province | | country | Country | | worldregion | Global region | | worldsubregion | Geographic subregion | | website | Official company website | | linkedin_url | LinkedIn page | | twitter_url | Twitter/X profile | | logo_url | Company logo | | first_session_year | First accelerator year | | industry_vertical | Startup categories | | program_names | Accelerator programs | | program_slugs | Program identifiers | | is_1b | Unicorn status | | is_current_session | Current cohort | | is_exit | Exit status | --- ## πŸ’‘ Use Cases (High Demand SEO Keywords) This Techstars scraper is ideal for: 🏒 Startup lead generation πŸ’° Venture capital research πŸ“Š Startup ecosystem analysis πŸš€ Accelerator portfolio monitoring πŸ“ˆ Market intelligence πŸ€– AI training datasets πŸ“‘ Company database enrichment 🎯 B2B prospecting 🏦 Investment research 🌍 Global startup discovery ⚑ Bulk startup data extraction --- ## πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk URL scraping support 🌍 Global startup coverage πŸ“Œ Smart pagination system 🧠 Clean structured output πŸ“Š High-speed scraping engine πŸ” Auto retry & stability system πŸ’Ύ Export-ready datasets βš™οΈ Scalable cloud execution (Apify Actor) --- ## πŸ“€ Output Formats Supported βœ” JSON (structured API ready) βœ” CSV (Excel analysis) βœ” Excel XLSX (business reports) βœ” XML (data pipelines) βœ” HTML (dashboards) --- ## πŸ“¦ Example Output ``` { "company\_id": "7b0756c8-2b9a-3141-a7b2-26df2aed046a", "company\_name": "Zipline", "brief\_description": "Zipline operates the world's largest autonomous on-demand delivery system.", "city": "San Francisco", "state\_province": "California", "country": "United States", "worldregion": "Americas", "worldsubregion": "North America", "website": "https://flyzipline.com", "linkedin\_url": "https://linkedin.com/company/flyzipline", "twitter\_url": "https://twitter.com/zipline", "logo\_url": "https://apimg.techstars.com/logo.png", "first\_session\_year": 2011, "industry\_vertical": \[ "Mobility Tech", "Robotics and Drones" ], "program\_names": \[ "Techstars Seattle Accelerator" ], "program\_slugs": \[ "seattle" ], "is\_1b": true, "is\_current\_session": false, "is\_exit": false } ```` --- ## πŸ”₯ Why This is the BEST Techstars Scraper on Apify? βœ” Optimized for Apify search ranking βœ” High-performance startup scraping engine βœ” Bulk URL support (rare feature) βœ” Clean structured startup datasets βœ” Enterprise-ready scalability βœ” Perfect for SEO traffic & marketplace visibility --- ## πŸ’Έ Pricing This scraper runs on a **pay-per-result** pricing model. You only pay for successfully extracted records. πŸ’³ **Price:** $2.38 / 1,000 results --- ## ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple Techstars portfolio URLs at once? Yes β€” Bulk URL mode is fully supported. #### Can I scrape different industries? Yes β€” simply add multiple filtered Techstars portfolio URLs. #### Is this scraper fast? Yes β€” optimized for high-speed startup data extraction. #### Can I export the data? Yes β€” JSON, CSV, Excel, XML, and HTML are supported. #### Is coding required? No β€” this is a 100% no-code Apify Actor. --- ## ⚠️ Disclaimer This tool is **not affiliated with Techstars**. It is an independent data extraction solution built for public startup portfolio analysis. --- ## πŸ”— Related Actors (Startup Intelligence Ecosystem) We are building a complete **PrimeScrape Startup Intelligence Suite.** πŸ‘‰ Coming Soon πŸš€ --- ## 🌍 PrimeScrape Ecosystem Built for data scraping, automation, AI training datasets, and market intelligence at scale. πŸ“Š Startup intelligence 🏒 Company databases πŸ’° Venture capital research πŸ“ˆ Market analytics πŸ€– AI datasets βš™οΈ Automation pipelines --- ## πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you like this scraper. πŸ“© Contact us for custom scraping solutions, enterprise integrations, or startup intelligence projects. # Actor input Schema ## `urls_base` (type: `array`): List of Techstars Companies search URLs. Each URL is scraped separately, with its own company limit (see maxitems_per_url). ## `maxitems_per_url` (type: `integer`): The maximum number of Companies to fetch for each URL ## Actor input object example ```json { "urls_base": [ "https://www.techstars.com/portfolio?industry_vertical=Artificial+intelligence+and+machine+learning" ], "maxitems_per_url": 100 } ```` # Actor output Schema ## `overview` (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 = { "urls_base": [ "https://www.techstars.com/portfolio?industry_vertical=Artificial+intelligence+and+machine+learning" ], "maxitems_per_url": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/techstars-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "urls_base": ["https://www.techstars.com/portfolio?industry_vertical=Artificial+intelligence+and+machine+learning"], "maxitems_per_url": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/techstars-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls_base": [ "https://www.techstars.com/portfolio?industry_vertical=Artificial+intelligence+and+machine+learning" ], "maxitems_per_url": 100 }' | apify call delectable_incubator/techstars-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/techstars-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Techstars Scraper - Low-costπŸ’²πŸ”₯πŸš€πŸ’", "description": "πŸš€ Scrape Techstars startup and portfolio company data with advanced search filters by industry, location, or keyword. Extract company names, founders, descriptions, websites, funding details, and more. Ideal for lead generation, startup research, market intelligence, and AI automation. πŸ“Š", "version": "0.0", "x-build-id": "3h2U9girgAoV5W7rI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~techstars-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-techstars-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~techstars-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-techstars-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~techstars-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-techstars-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls_base" ], "properties": { "urls_base": { "title": "Techstars Companies search URLs to scrape πŸ”—", "type": "array", "description": "List of Techstars Companies search URLs. Each URL is scraped separately, with its own company limit (see maxitems_per_url).", "default": [ "https://www.techstars.com/portfolio?industry_vertical=Artificial+intelligence+and+machine+learning" ], "items": { "type": "string" } }, "maxitems_per_url": { "title": "Max Companies to scrape per URL πŸ”’", "type": "integer", "description": "The maximum number of Companies to fetch for each URL", "default": 100 } } }, "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 } } } } } } } } } } ```