# Startup.Jobs Scraper - Low-cost πŸ’²πŸ”₯πŸ’ΌπŸŒ (`delectable_incubator/startup-jobs-scraper-low-cost`) Actor πŸš€πŸ’Ό Extract startup job listings with ease. Collect job titles, company names, locations, workplace types, employment types, posting dates, job descriptions, application URLs, and company details. Ideal for startup recruitment, talent sourcing, HR analytics, and global job market research. πŸ“ŠπŸŒ - **URL**: https://apify.com/delectable\_incubator/startup-jobs-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## 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 Startup Jobs Scraper

--- ## πŸš€πŸ’Ό Startup Jobs Scraper | Bulk Startup Job Listings Scraper | Apify Actor ### πŸš€ Extract Startup Job Listings in Seconds (No Code) The **Startup Jobs Scraper** is a powerful, scalable, and SEO-optimized Apify Actor built to extract startup job listings from startup-focused job boards worldwide. Scrape startup jobs in bulk, export structured hiring datasets, and use them for recruitment, HR analytics, startup hiring intelligence, lead generation, AI datasets, job aggregation platforms, and market research. --- ## πŸ”₯ Why Choose This Startup Jobs Scraper? βœ” Best Startup Jobs Scraper on Apify βœ” Bulk keyword scraping (multi-keyword support) βœ” Worldwide startup job coverage βœ” Location & workplace filtering βœ” Remote, Hybrid & On-site jobs βœ” Fast & scalable extraction engine βœ” Automatic pagination βœ” Clean structured datasets βœ” JSON / CSV / Excel / XML / HTML exports βœ” No coding required --- ## 🎯 What This Scraper Does This Apify Actor extracts real-time startup job listings directly from startup job search results. #### πŸ“Œ Core Features βœ… Scrape startup job listings βœ… Bulk keyword job scraping (SEO BOOST πŸš€) βœ… Multiple keyword support βœ… Location filtering βœ… Workplace filtering (Remote / Hybrid / On-site) βœ… Automatic pagination βœ… Maximum results limit βœ… Extract company information βœ… Extract company logo βœ… Extract company website βœ… Extract job tags βœ… Extract posting date βœ… Extract direct job URL βœ… Structured export-ready datasets --- ## ⚑ Input Configuration (Simple & Powerful) ### πŸ”₯ BULK KEYWORD MODE (SEO BOOST πŸš€) ```` { "keywords": \[ "Frontend Developer", "Backend Engineer", "Full Stack Developer", "Product Manager", "UI UX Designer", "DevOps Engineer", "Marketing Manager", "Sales Executive", "Customer Success", "Data Scientist" ], "location": "Berlin", "workplace": "Remote", "max\_items": 200 } ``` --- ## πŸ“Š Extracted Startup Job Data | Field | Description | |------|-------------| | jobId | Unique job identifier | | jobTitle | Job title | | companyName | Startup company name | | companyUrl | Company website | | companyLogoUrl | Company logo | | location | Job location | | workplaceType | Remote / Hybrid / On-site | | postedDate | Publishing date | | tags | Skills, technologies & labels | | jobUrl | Direct job URL | --- ## πŸ’‘ Popular Use Cases This Startup Jobs Scraper is perfect for: πŸ’Ό Startup job scraping πŸ“Š Startup hiring analytics 🏒 Recruitment automation πŸ“ˆ Startup hiring trends πŸ€– AI training datasets 🌍 Startup market intelligence πŸ“‘ Job aggregation websites 🎯 Lead generation 🧠 HR analytics πŸ“š Employment research --- ## πŸš€ Key Features ⚑ Bulk keyword support 🌍 Global startup job coverage πŸ“Œ Smart pagination 🧠 Clean structured output πŸ“Š High-speed scraping πŸ” Automatic retries πŸ’Ύ Export-ready datasets βš™οΈ Cloud execution on Apify πŸ“ˆ Enterprise-ready --- ## πŸ“€ Supported Export Formats βœ” JSON βœ” CSV βœ” Excel (XLSX) βœ” XML βœ” HTML --- ## πŸ“¦ Example Output ``` { "jobId": "SJ-45678", "jobTitle": "Frontend Developer", "companyName": "FinTech Startup", "companyUrl": "https://fintechstartup.com", "companyLogoUrl": "https://fintechstartup.com/logo.png", "location": "Berlin, Germany", "workplaceType": "Remote", "postedDate": "2 days ago", "tags": \[ "React", "TypeScript", "Startup", "Frontend" ], "jobUrl": "https://startupjobs.com/jobs/frontend-developer" } ```` --- ## πŸ”₯ Why This is One of the Best Startup Jobs Scrapers on Apify βœ” SEO optimized βœ” Built for startup recruiting βœ” Bulk keyword scraping βœ” Fast extraction βœ” Reliable cloud execution βœ” Clean structured output βœ” Enterprise scalability βœ” Marketplace optimized --- ## πŸ’Έ Pricing This scraper uses a **pay-per-result** pricing model. πŸ’³ **Price: $0.99 / 1,000 results** You only pay for successfully extracted records. --- ## ❓ FAQ #### Can I scrape multiple keywords? Yes. Bulk keyword mode is fully supported. #### Can I scrape Remote jobs? Yes. Remote, Hybrid and On-site jobs are supported. #### Can I filter by location? Yes. Simply provide any city or country. #### Does it support pagination? Yes. Pagination is handled automatically. #### Can I export the data? Yes. JSON, CSV, Excel, XML and HTML are supported. #### Is coding required? No. Everything works directly from Apify. --- ## ⚠️ Disclaimer This tool is an independent data extraction solution and is not affiliated with any startup job platform. --- ## πŸ”— Related Actors Discover the complete PrimeScrape ecosystem for: β€’ Job Scrapers β€’ Company Scrapers β€’ Business Directories β€’ YouTube Scrapers β€’ Facebook Scrapers β€’ LinkedIn Alternatives β€’ AI Training Datasets β€’ Lead Generation More coming soon πŸš€ --- ## 🌍 PrimeScrape Ecosystem Built for: πŸ“Š Data Extraction πŸ€– AI Datasets 🏒 Company Intelligence πŸ“ˆ Market Research βš™οΈ Automation πŸ’Ό Recruitment 🌍 Business Intelligence --- ## πŸ“« Support ⭐⭐⭐⭐⭐ Leave a review if you enjoy using this scraper. πŸ“© Need a custom scraper or enterprise solution? Contact us directly through Apify. # Actor input Schema ## `keywords` (type: `array`): List of job search keywords (e.g., software, developer, designer, marketing) ## `max_items` (type: `integer`): Maximum number of jobs to extract per keyword ## `proxy` (type: `object`): RESIDENTIAL proxy ## Actor input object example ```json { "keywords": [ "developer", "designer" ], "max_items": 60, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "countryCode": "us" } } ```` # 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 = { "keywords": [ "developer", "designer" ], "max_items": 60, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "countryCode": "us" } }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/startup-jobs-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 = { "keywords": [ "developer", "designer", ], "max_items": 60, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "countryCode": "us", }, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/startup-jobs-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 '{ "keywords": [ "developer", "designer" ], "max_items": 60, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "countryCode": "us" } }' | apify call delectable_incubator/startup-jobs-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/startup-jobs-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Startup.Jobs Scraper - Low-cost πŸ’²πŸ”₯πŸ’ΌπŸŒ", "description": "πŸš€πŸ’Ό Extract startup job listings with ease. Collect job titles, company names, locations, workplace types, employment types, posting dates, job descriptions, application URLs, and company details. Ideal for startup recruitment, talent sourcing, HR analytics, and global job market research. πŸ“ŠπŸŒ", "version": "0.0", "x-build-id": "XizNk1ZqNcGepVf8J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~startup-jobs-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-startup-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~startup-jobs-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-startup-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~startup-jobs-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-startup-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords πŸ”", "type": "array", "description": "List of job search keywords (e.g., software, developer, designer, marketing)", "items": { "type": "string" }, "default": [ "developer", "designer" ] }, "max_items": { "title": "Maximum Jobs per Keyword", "type": "integer", "description": "Maximum number of jobs to extract per keyword", "default": 60 }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "RESIDENTIAL proxy", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "countryCode": "US" } } } }, "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 } } } } } } } } } } ```