# Gumtree Jobs Scraper (`parseforge/gumtree-jobs-scraper`) Actor Extract job listings from Gumtree UK with title, employer name, location, salary, and posting date. Perfect for recruitment analysis or aggregating local opportunities. Search by keyword or category to pull structured listings without visiting each ad individually. - **URL**: https://apify.com/parseforge/gumtree-jobs-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Jobs, Lead generation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $8.14 / 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. 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 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## Gumtree Jobs Scraper Extract job listings from Gumtree UK with ease. This actor scrapes detailed job information including title, company, location, salary, description, and posting date, allowing you to build a custom job database or analyze the UK job market. ### Features - Scrape job listings by keyword or full category URL - Configurable maximum items (up to 1000) to control output size - Built-in proxy rotation for reliable, uninterrupted scraping - Structured JSON output ready for analysis, import, or further processing - Fast and scalable execution on the Apify platform ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | searchKeyword | string | `"developer"` (prefill) | Keyword to filter job listings, e.g. `'developer'` or `'nurse'`. | | categoryUrl | string | `"https://www.gumtree.com/jobs"` (prefill) | Full URL of a Gumtree jobs category page to scrape, e.g. `https://www.gumtree.com/jobs/software-development`. | | maxItems | integer | `100` | Maximum number of job listings to scrape. Minimum 1, maximum 1000. | | proxyConfiguration | object | `{"useApifyProxy": true}` | Proxy settings for scraping. Apify proxy is recommended for reliability. | ### Output Each job listing is output as a JSON object. Below is a realistic example of a single dataset item: ```json { "title": "Junior Software Developer", "company": "Tech Solutions Ltd", "location": "London", "salary": "£25,000 - £35,000 per year", "description": "We are looking for a motivated junior developer to join our growing team. You will work on modern web applications using React and Node.js.", "url": "https://www.gumtree.com/p/123456/junior-software-developer", "postedDate": "2023-10-15", "scrapedAt": "2023-10-16T12:00:00Z" } ```` ### Usage 1. **Sign up** for a free Apify account at . 2. **Open the Gumtree Jobs Scraper** in the Apify Console. 3. **Set your input** – either enter a search keyword (e.g., `"developer"`) or a full category URL. Adjust the maximum items and proxy settings as needed. 4. **Run the actor** – it will start scraping immediately. 5. **Get your dataset** – once finished, download the results in JSON, CSV, or other formats, or access them via API. This scraper is perfect for job market research, recruitment analytics, or building your own job board. Start scraping today! **🆘 Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **⚠️ Disclaimer:** independent tool, not affiliated with the source website. Only publicly available data is collected. # Actor input Schema ## `searchKeyword` (type: `string`): Keyword to filter job listings, e.g. 'developer' or 'nurse'. ## `categoryUrl` (type: `string`): Full URL of a Gumtree jobs category page to scrape, e.g. https://www.gumtree.com/jobs/software-development. ## `maxItems` (type: `integer`): Maximum number of job listings to scrape. ## Actor input object example ```json { "searchKeyword": "developer", "categoryUrl": "https://www.gumtree.com/jobs", "maxItems": 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 = { "searchKeyword": "developer", "categoryUrl": "https://www.gumtree.com/jobs", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/gumtree-jobs-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 = { "searchKeyword": "developer", "categoryUrl": "https://www.gumtree.com/jobs", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/gumtree-jobs-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 '{ "searchKeyword": "developer", "categoryUrl": "https://www.gumtree.com/jobs", "maxItems": 10 }' | apify call parseforge/gumtree-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/gumtree-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gumtree Jobs Scraper", "description": "Extract job listings from Gumtree UK with title, employer name, location, salary, and posting date. Perfect for recruitment analysis or aggregating local opportunities. Search by keyword or category to pull structured listings without visiting each ad individually.", "version": "0.0", "x-build-id": "TXsY0WpmIIMnIyrKh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~gumtree-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-gumtree-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~gumtree-jobs-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-gumtree-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~gumtree-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-gumtree-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchKeyword": { "title": "Search Keyword", "type": "string", "description": "Keyword to filter job listings, e.g. 'developer' or 'nurse'." }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "Full URL of a Gumtree jobs category page to scrape, e.g. https://www.gumtree.com/jobs/software-development." }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job listings to scrape.", "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 } } } } } } } } } } ```