# Peopleperhour Jobs Extractor (`getdataforme/peopleperhour-jobs-extractor`) Actor The Peopleperhour Jobs Extractor scrapes freelance job listings from PeoplePerHour, offering customizable queries and item limits. It provides comprehensive data for market research, competitive analysis, and business strategy, with remote access and high-quality output.... - **URL**: https://apify.com/getdataforme/peopleperhour-jobs-extractor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 *** ## Peopleperhour Jobs Extractor ### Introduction The Peopleperhour Jobs Extractor is a powerful tool designed to scrape job listings from the PeoplePerHour platform. It enables users to gather comprehensive data on freelance opportunities in technology and programming, providing valuable insights for market research, competitive analysis, and business strategy. ### Features - **Comprehensive Data Extraction**: Captures detailed information about each job listing. - **Customizable Queries**: Allows users to specify search terms tailored to their needs. - **Flexible Item Limits**: Users can set a maximum number of items to scrape per run. - **Remote Access**: Extracts data from remote locations, ensuring accessibility and convenience. - **High-Quality Data Output**: Ensures reliable and accurate job listing information. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|-----------------------------| | Queries | array | No | The queries for the spider. | `["Django developer"]` | | item\_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Queries": ["Django developer"], "item_limit": 10 } ``` #### Output JSON ```json [ { "project_id": 4511066, "title": "App developer", "url": "https://www.peopleperhour.com/freelance-jobs/technology-programming/mobile-app-development/app-developer-4511066", "description": "Hello, I’m looking for someone to help develop an app...", "budget": 600, "budget_converted": 600, "currency": "USD", "budget_bracket": 3, "project_type": "fixed_price", "category": "Technology & Programming", "sub_category": "Mobile App Development", "posted_date": "2026-07-22 15:24:16", "expiry_date": "2026-08-21 15:24:16", "location_type": "remote", "proposal_count": 44, "client_name": "Venuepluss ..", "client_country": "United Kingdom", "query": "Django developer", "actor_id": "WYW01nzcHEj9FrX29", "run_id": "cU3CbMvjRNNl8SPcK" }, { "project_id": 4511420, "title": "Lovable Developer Needed for AI Website Development", "url": "https://www.peopleperhour.com/freelance-jobs/technology-programming/mobile-app-development/lovable-developer-needed-for-ai-website-development-4511420", "description": "I am looking for an experienced Lovable developer...", "budget": 184, "budget_converted": 245.68414637005085, "currency": "GBP", "budget_bracket": 1, "project_type": "fixed_price", "category": "Technology & Programming", "sub_category": "Mobile App Development", "posted_date": "2026-07-24 05:00:31", "expiry_date": "2026-08-23 05:00:31", "location_type": "remote", "proposal_count": 34, "client_name": "Corllins P.", "client_country": "United Kingdom", "query": "Django developer", "actor_id": "WYW01nzcHEj9FrX29", "run_id": "cU3CbMvjRNNl8SPcK" }, { "project_id": 4510706, "title": "Shopify developer", "url": "https://www.peopleperhour.com/freelance-jobs/technology-programming/website-development/shopify-developer-4510706", "description": "Hi, we are shopify developers but need a bit of extra resource...", "budget": 18, "budget_converted": 24.034318666635407, "currency": "GBP", "budget_bracket": 1, "project_type": "hourly", "category": "Technology & Programming", "sub_category": "Website Development", "posted_date": "2026-07-21 09:10:59", "expiry_date": "2026-08-20 09:10:59", "location_type": "remote", "proposal_count": 82, "client_name": "Ashley Hayward", "client_country": "United Kingdom", "query": "Django developer", "actor_id": "WYW01nzcHEj9FrX29", "run_id": "cU3CbMvjRNNl8SPcK" } ] ``` ### Use Cases - **Market Research and Analysis**: Understand trends in freelance job offerings. - **Competitive Intelligence**: Monitor competitor activities and opportunities. - **Price Monitoring**: Track budget ranges for various projects. - **Content Aggregation**: Compile data for reports or presentations. - **Academic Research**: Gather data for studies on the gig economy. - **Business Automation**: Automate data collection for strategic planning. ### Installation and Usage 1. Search for "Peopleperhour Jobs Extractor" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array of job listings, each containing fields such as `project_id`, `title`, `url`, `description`, `budget`, `currency`, `posted_date`, and more. This structured data provides comprehensive insights into each job listing. ### Error Handling Information - **Invalid Queries**: Ensure queries are correctly formatted to avoid extraction errors. - **Rate Limiting**: Adhere to PeoplePerHour's rate limits to prevent access issues. - **Network Errors**: Check your internet connection if the spider fails to start. ### Rate Limiting and Best Practices - Respect PeoplePerHour's terms of service regarding scraping. - Use appropriate intervals between requests to avoid being blocked. - Monitor logs for any rate limiting warnings or errors. ### Limitations and Considerations - **Data Accuracy**: Ensure queries are specific to obtain relevant results. - **Rate Limits**: Be mindful of potential restrictions on the number of requests. - **Dynamic Content**: Changes in PeoplePerHour's website structure may affect data extraction. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `Queries` (type: `array`): The queries for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Queries": [ "Django developer" ], "item_limit": 10 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/peopleperhour-jobs-extractor").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/peopleperhour-jobs-extractor").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 '{}' | apify call getdataforme/peopleperhour-jobs-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/peopleperhour-jobs-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/acts/WYW01nzcHEj9FrX29/builds/RZBDXjoXO5O0gfWde/openapi.json