# Google Jobs Scraper (`crw/google-jobs-scraper`) Actor Scrape Google Jobs by keyword and location. Returns job title, company, salary, employment type, full description, and apply links from multiple platforms. Automatic session management — no API key or cookies required. Pay only for what you use - **URL**: https://apify.com/crw/google-jobs-scraper.md - **Developed by:** [CRW](https://apify.com/crw) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 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 ## Google Jobs Scraper Search Google Jobs and extract structured job listings at scale — no API key, no manual browsing, no rate-limit headaches. Point it at any job title and city. Get back a clean dataset with full descriptions, salary ranges, employment type, and direct apply links from LinkedIn, Indeed, company career pages, and more. --- ### Who is this for? **Recruiters & HR teams** Stop copying job listings by hand. Run a search, download a spreadsheet, and have every open role in your target market in minutes. **Compensation analysts** Collect salary data from hundreds of listings across cities and roles. Build benchmarks without expensive HR data subscriptions. **Developers & data engineers** Plug job data directly into your ATS, CRM, or data pipeline via API or webhook. Full JSON output, Apify dataset storage, and SDK support for Python and JavaScript. **Market researchers & academics** Track hiring trends by company, location, or role type. Analyze which skills are in demand, where hiring is growing, and how job descriptions change over time. --- ### What you get Every job listing comes with: | Field | Example | |-------|---------| | `title` | Senior Software Engineer | | `companyName` | Travelers | | `location` | London, United Kingdom | | `via` | via LinkedIn | | `description` | Full job description text | | `jobHighlights` | Qualifications, Responsibilities, Benefits (structured) | | `applyLink` | Links to LinkedIn, Indeed, company site, and others | | `metadata.postedAt` | 3 days ago | | `metadata.scheduleType` | Full-time | | `metadata.salary` | $120,000–$150,000/yr | | `logo` | Company logo image URL | #### Sample record ```json { "title": "Senior Software Engineer - Python", "companyName": "Travelers", "location": "London, United Kingdom", "via": "via Travelers Careers", "description": "Taking care of our customers, our communities and each other...", "jobHighlights": [ { "title": "Qualifications", "items": [ "5+ years of Python experience", "Experience with microservices architecture" ] }, { "title": "Benefits", "items": ["Competitive salary", "Hybrid working", "Health insurance"] } ], "applyLink": [ { "title": "careers.travelers.com", "link": "https://careers.travelers.com/..." }, { "title": "indeed.com", "link": "https://uk.indeed.com/..." }, { "title": "linkedin.com", "link": "https://uk.linkedin.com/..." } ], "metadata": { "postedAt": "16 days ago", "scheduleType": "Full-time", "salary": null }, "logo": "https://encrypted-tbn0.gstatic.com/images?q=..." } ```` *** ### Getting started #### 1. Set your search | Parameter | Required | Description | |-----------|----------|-------------| | `keyword` | Yes | Job title or role (e.g. `"Data Scientist"`, `"Marketing Manager"`) | | `location` | Yes | City or region (e.g. `"London"`, `"New York, NY"`) | | `maxResults` | No | How many jobs to collect — between 10 and 500 (default: 50) | | `hl` | No | Language code for results (default: `en`) | #### 2. Run it Click **Start** in the Apify console, or use the API: ```json { "keyword": "Software Engineer", "location": "London", "maxResults": 100 } ``` #### 3. Get your data Results are saved to an Apify dataset the moment each batch completes. Export as **JSON**, **CSV**, or **Excel** — or stream directly into your app via the Apify API. *** ### For developers #### JavaScript / TypeScript ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('YOUR_ACTOR_ID').call({ keyword: 'Software Engineer', location: 'New York, NY', maxResults: 100, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_API_TOKEN') run = client.actor('YOUR_ACTOR_ID').call(run_input={ 'keyword': 'Data Scientist', 'location': 'London', 'maxResults': 100, }) for item in client.dataset(run['defaultDatasetId']).iterate_items(): print(item) ``` *** ### Limitations - **Supported regions:** Confirmed working in the **US and UK**. EU countries (Germany, France, etc.) are known to be unsupported due to Google's antitrust compliance changes. Other regions may vary — if a location returns no results, it is likely a Google platform restriction, not a scraper issue. - **Volume:** Up to 500 jobs per run. Each page returns ~10 results. - **Rate limiting:** A 1–3 second delay is applied between pages to ensure stable, uninterrupted runs. # Actor input Schema ## `keyword` (type: `string`): The job search query (e.g., 'Software Engineer', 'Data Scientist', 'Marketing Manager') ## `location` (type: `string`): Job location (city, state, or country). e.g. 'London', 'New York, NY', 'San Francisco, CA'. Note: Google Jobs is primarily available in the US and UK. Other regions may not be supported and will return no results. ## `maxResults` (type: `integer`): Maximum number of job postings to collect (min 10, max 500) ## `hl` (type: `string`): Language code for search results ## Actor input object example ```json { "maxResults": 50 } ``` # Actor output Schema ## `api` (type: `string`): REST API endpoint to download the dataset programmatically. # 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("crw/google-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 = {} # Run the Actor and wait for it to finish run = client.actor("crw/google-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 '{}' | apify call crw/google-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crw/google-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Jobs Scraper", "description": "Scrape Google Jobs by keyword and location. Returns job title, company, salary, employment type, full description, and apply links from multiple platforms. Automatic session management — no API key or cookies required. Pay only for what you use", "version": "0.0", "x-build-id": "SIqZBBf45ZfJAcTVf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crw~google-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crw-google-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crw~google-jobs-scraper/runs": { "post": { "operationId": "runs-sync-crw-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crw~google-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-crw-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keyword", "location" ], "properties": { "keyword": { "title": "Job Search Query", "minLength": 1, "type": "string", "description": "The job search query (e.g., 'Software Engineer', 'Data Scientist', 'Marketing Manager')" }, "location": { "title": "Job Location", "minLength": 1, "type": "string", "description": "Job location (city, state, or country). e.g. 'London', 'New York, NY', 'San Francisco, CA'.\nNote: Google Jobs is primarily available in the US and UK. Other regions may not be supported and will return no results." }, "maxResults": { "title": "Max Results", "minimum": 10, "maximum": 500, "type": "integer", "description": "Maximum number of job postings to collect (min 10, max 500)", "default": 50 }, "hl": { "title": "Language Code", "enum": [ "", "en", "es", "fr", "de", "it", "pt", "ja", "ko", "zh", "ru", "ar", "bg", "bn", "ca", "cs", "da", "nl", "et", "fi", "el", "gu", "he", "hi", "hr", "hu", "id", "is", "kn", "lt", "lv", "mk", "mg", "ms", "ml", "mt", "mv", "mi", "mr", "mfe", "mo", "mn", "sr-me", "my", "ne", "pcm", "nso", "no", "nn", "oc", "or", "om", "ps", "fa", "xx-pirate", "pl", "pt-br", "pt-pt", "pa", "qu", "ro", "rm", "nyn", "gd", "sr", "sh", "st", "tn", "crs", "sn", "sd", "si", "sk", "sl", "so", "es-419", "su", "sw", "sv", "tg", "ta", "tt", "te", "th", "ti", "to", "lua", "tum", "tr", "tk", "tw", "ug", "uk", "ur", "uz", "vu", "vi", "cy", "wo", "xh", "yi", "yo", "zu" ], "type": "string", "description": "Language code for search results" } } }, "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 } } } } } } } } } } ```