# VentureLoop Scraper (`lexis-solutions/ventureloop-scraper`) Actor VentureLoop Scraper: extract structured VC‑backed startup job listings from VentureLoop, including title, company, location, salary, job type and metadata for market research, recruiting analytics and startup hiring insights. - **URL**: https://apify.com/lexis-solutions/ventureloop-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Jobs, AI, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.90 / 1,000 jobs 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 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 ## πŸ’Ό VentureLoop Scraper ![Ventureloop Scraper](https://i.ibb.co/Y74FnyWx/Screenshot-2026-05-10-at-3-38-26-PM.png) ### ❓ What is this scraper? This scraper extracts structured job listing data from **VentureLoop** β€” the worldwide leader in job postings focused on venture-backed companies. VentureLoop connects growth companies, talent, entrepreneurs and resources, creating long-term relationships with venture capital firms and entrepreneurial individuals. Many of the job postings found on VentureLoop cannot be found on any other job board, making it a unique source for venture-backed company opportunities. The extracted data is normalized into a structured format, making it easy to use for analysis, integrations, or storage. --- ### ⚑ Why this scraper? VentureLoop is the go-to source for jobs at VC-backed startups and growth companies, and this scraper allows you to: * Discover job opportunities at venture-backed companies worldwide * Build datasets for job market research and analysis * Extract structured job metadata including salary, location, and company info * Monitor hiring trends across the venture capital ecosystem * Collect job listings at scale for aggregation or integration Perfect for: * Job seekers targeting VC-backed startups * Recruiters and talent acquisition teams * Researchers and market analysts * Developers building job aggregation platforms * Investors tracking portfolio company hiring activity --- ### πŸ“₯ Input ```json { "maxItems": 5, "startUrls": [ { "url": "https://www.ventureloop.com/ventureloop/job_search.php?g=0&kword=software&jcat=%&dc=all&ldata=%&jt=1&d=5&btn=1" } ], "proxyConfiguration": { "useApifyProxy": false } } ```` *** ### πŸ“€ Output Each job is returned as a structured JSON object: ```json { "url": "https://www.ventureloop.com/ventureloop/jobdetail.php?jobid=2994293&hc=cohesity&jt=senior-finance-manager", "title": "Senior Finance Manager – Channel & Alliances Finance", "applyUrl": "https://www.ventureloop.com/ventureloop/jobapply.php?jobid=2994293", "location": "Austin, TX, US / Remote", "jobType": "Full-Time", "jobFunction": "Accounting/Finance", "postDate": "05/09/2026", "salary": null, "company": { "name": "Cohesity", "profileUrl": "https://www.ventureloop.com/ventureloop/companyprofile.php?cid=8524", "logoUrl": "https://s3.amazonaws.com/media.ventureloop.com/images/Cohesity_1og0.png", "website": "cohesity.com", "address": "300 Park Ave, Suite 1700, San Jose, California 95110, US", "about": "We're on a mission to radically simplify how organizations secure and manage their data..." }, "description": "Join us on our mission to shape the future of our industry...", "disclaimers": [ "Disclaimer: Local Candidates Only", "This company does NOT accept candidates from outside recruiting firms." ], "relatedJobs": [ { "jobTitle": "Customer Success Engineer", "company": "Cohesity - Pune, IN", "detailHref": "https://www.ventureloop.com/ventureloop/jobdetail.php?jobid=2966211", "postedAgo": "Posted 8 days ago", "logoUrl": "https://s3.amazonaws.com/media.ventureloop.com/images/Cohesity_1og0.png" } ] } ``` *** ### Need to scrape other sites? Check out similar scrapers on Apify: - [Bundesagentur fΓΌr Arbeit (Arbeitsagentur) Scraper](https://apify.com/lexis-solutions/bundesagentur-fur-arbeit-arbeitsagentur-scraper) - [Jobs.ch Scraper](https://apify.com/lexis-solutions/jobs-ch-scraper) - [vdab.be Scraper](https://apify.com/lexis-solutions/vdab-be-scraper) *** πŸ‘€ p.s. Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners/find). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) *** ### Support Our Work πŸ’ If you're happy with our work and scrapers, you're welcome to leave us a review and share your feedback. It means a lot to us! *** ### Image Credit Image Credit: https://www.ventureloop.com/ventureloop/home.php # Actor input Schema ## `startUrls` (type: `array`): URLs to scrape ## `maxItems` (type: `integer`): The maximum number of items to fetch ## `proxyConfiguration` (type: `object`): Your proxy configuration from Apify ## Actor input object example ```json { "startUrls": [ { "url": "https://www.ventureloop.com/ventureloop/job_search.php?g=0&kword=software&jcat=%&dc=all&ldata=%&jt=1&d=5&btn=1" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "startUrls": [ { "url": "https://www.ventureloop.com/ventureloop/job_search.php?g=0&kword=software&jcat=%&dc=all&ldata=%&jt=1&d=5&btn=1" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/ventureloop-scraper").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 = { "startUrls": [{ "url": "https://www.ventureloop.com/ventureloop/job_search.php?g=0&kword=software&jcat=%&dc=all&ldata=%&jt=1&d=5&btn=1" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/ventureloop-scraper").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 '{ "startUrls": [ { "url": "https://www.ventureloop.com/ventureloop/job_search.php?g=0&kword=software&jcat=%&dc=all&ldata=%&jt=1&d=5&btn=1" } ] }' | apify call lexis-solutions/ventureloop-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/ventureloop-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "VentureLoop Scraper", "description": "VentureLoop Scraper: extract structured VC‑backed startup job listings from VentureLoop, including title, company, location, salary, job type and metadata for market research, recruiting analytics and startup hiring insights.", "version": "1.0", "x-build-id": "7jIHuObKoiSphalgc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~ventureloop-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-ventureloop-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~ventureloop-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-ventureloop-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~ventureloop-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-ventureloop-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to scrape", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "type": "integer", "description": "The maximum number of items to fetch", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Your proxy configuration from Apify", "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 } } } } } } } } } } ```