# Google Jobs Scraper - Listings, Salary, Employer & Apply Links (`santhej/google-jobs-scraper`) Actor Scrape Google Jobs at scale: job title, employer, location, salary, contract type, posting date & source/apply links. Any role or city, 190+ countries. Clean JSON/CSV for job boards, recruiters & market research. No API keys. - **URL**: https://apify.com/santhej/google-jobs-scraper.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** Jobs, Lead generation, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 โ€” Listings, Salary, Employer & Apply Links **Pull every job on Google Jobs for any role or city โ€” title, employer, location, salary, contract type, posting date, and apply links โ€” as clean structured data. Perfect for job boards, recruiters, and labor-market research.** Google aggregates listings from LinkedIn, Indeed, company career pages, and dozens of boards into one place. This actor turns that into a downloadable, API-ready dataset โ€” no proxies, no captchas, no scraping headaches. --- ### What you get per job - ๐Ÿงพ **Job title & employer** โ€” the role, the hiring company, and its site/logo when listed. - ๐Ÿ“ **Location** โ€” city/region, including remote roles. - ๐Ÿ’ต **Salary, parsed** โ€” the raw salary text plus parsed `salary_min`, `salary_max`, `salary_currency`, and `salary_period` (year/month/hour) whenever Google exposes a figure. - ๐Ÿ“„ **Contract type** โ€” full-time, part-time, contractor, intern. - ๐Ÿ•’ **Posting date** โ€” both the relative ("3 days ago") and an absolute timestamp. - ๐Ÿ”— **Source & apply link** โ€” where the listing came from (LinkedIn, Indeed, company siteโ€ฆ). #### Filters - **Date posted** โ€” today, last 3 days, past week, or past month. - **Employment type** โ€” full-time, part-time, contractor, intern (multi-select). - **Remote only** โ€” return work-from-home roles only. ### Why this scraper | | This actor | DIY / browser scraping | |---|---|---| | **Setup** | Just type a query | Build + maintain a scraper | | **Reliability** | Enterprise infra, retries built in | Breaks on layout changes | | **Coverage** | 190+ countries | Hard to localize | | **Output** | JSON / CSV / Excel, API-ready | Raw HTML | | **Cost** | Pay per job, no subscription | "Free" but eats your time | ### Perfect for - **Job boards & aggregators** โ€” fill your board with fresh, deduplicated listings. - **Recruiters & staffing** โ€” monitor who's hiring for roles you place. - **Salary & labor-market research** โ€” analyze pay and demand by role and region. - **Sales & lead gen** โ€” companies hiring = companies with budget and growth signals. - **AI agents** โ€” feed structured job data into automated workflows and MCP tools. ### How to use it 1. Enter one or more **job search queries** (role + location). 2. Pick **country**, **language**, and how many results per query. 3. Run it โ€” export JSON/CSV or pull via the API. #### Example input ```json { "queries": ["software engineer new york", "remote product manager"], "resultsDepth": 20, "locationCode": "2840", "languageCode": "en", "datePosted": "week", "employmentType": ["FULLTIME"], "workFromHome": false } ```` #### Example output (one row per job) ```json { "query": "software engineer new york", "title": "Software Engineer - Java", "employer_name": "Disney Entertainment and ESPN Product & Technology", "location": "New York, NY", "salary": "$120,000โ€“$150,000 a year", "salary_min": 120000, "salary_max": 150000, "salary_currency": "USD", "salary_period": "year", "contract_type": "Full-time", "source_name": "via Disney Careers", "posted": "9 days ago", "posted_at": "2026-05-21 18:41:52 +00:00", "source_url": "https://www.disneycareers.com/en/job/new-york/software-engineer-java/โ€ฆ" } ``` ### Pricing Simple pay-per-job. No monthly fee, no minimum โ€” scrape 20 jobs or 20,000 and only pay for the listings you pull. ### FAQ **Where do the jobs come from?** Google Jobs aggregates from LinkedIn, Indeed, company career pages, and many job boards โ€” you get them all in one feed. **Can I scrape jobs in other countries?** Yes โ€” 190+ countries and all major languages. **Is salary always available?** Only when Google surfaces it for that listing; otherwise the field is empty. **Can I use this with an AI agent?** Yes โ€” output is clean structured JSON, ideal for MCP servers, n8n, Make, and custom LLM agents. *** *Tags: google jobs scraper, jobs scraper, job listings api, indeed alternative, linkedin jobs, job board data, salary data, recruiting, hiring leads, labor market, jobs api.* # Actor input Schema ## `queries` (type: `array`): What to search on Google Jobs, e.g. โ€˜software engineer new yorkโ€™ or โ€˜remote marketing managerโ€™. One per line. Up to 100 per run. ## `resultsDepth` (type: `integer`): How many job listings to return per query (10โ€“100). ## `locationCode` (type: `string`): Target country. Default United States (2840). UK 2826, Canada 2124, Australia 2036, India 2356, Germany 2276. ## `languageCode` (type: `string`): Language code (e.g. en, es, de, fr). ## `datePosted` (type: `string`): Only return jobs posted within this window. ## `employmentType` (type: `array`): Filter by employment type. Leave empty for all types. ## `workFromHome` (type: `boolean`): Only return work-from-home / remote jobs. ## Actor input object example ```json { "queries": [ "software engineer new york", "remote product manager" ], "resultsDepth": 20, "locationCode": "2840", "languageCode": "en", "datePosted": "all", "workFromHome": false } ``` # Actor output Schema ## `dataset` (type: `string`): All scraped Google Jobs listings. ## `summary` (type: `string`): Queries and job counts. # 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 = { "queries": [ "software engineer new york", "remote product manager" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/google-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "queries": [ "software engineer new york", "remote product manager", ] } # Run the Actor and wait for it to finish run = client.actor("santhej/google-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "software engineer new york", "remote product manager" ] }' | apify call santhej/google-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/google-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Jobs Scraper - Listings, Salary, Employer & Apply Links", "description": "Scrape Google Jobs at scale: job title, employer, location, salary, contract type, posting date & source/apply links. Any role or city, 190+ countries. Clean JSON/CSV for job boards, recruiters & market research. No API keys.", "version": "0.0", "x-build-id": "xjeoK7ec6GvtvPcna" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~google-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santhej~google-jobs-scraper/runs": { "post": { "operationId": "runs-sync-santhej-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santhej~google-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-santhej-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "queries": { "title": "Job search queries", "minItems": 1, "maxItems": 100, "type": "array", "description": "What to search on Google Jobs, e.g. โ€˜software engineer new yorkโ€™ or โ€˜remote marketing managerโ€™. One per line. Up to 100 per run.", "items": { "type": "string" } }, "resultsDepth": { "title": "Results per query", "minimum": 10, "maximum": 100, "type": "integer", "description": "How many job listings to return per query (10โ€“100).", "default": 20 }, "locationCode": { "title": "Country", "enum": [ "2840", "2826", "2124", "2036", "2356", "2276", "2250", "2724", "2380", "2392" ], "type": "string", "description": "Target country. Default United States (2840). UK 2826, Canada 2124, Australia 2036, India 2356, Germany 2276.", "default": "2840" }, "languageCode": { "title": "Language", "type": "string", "description": "Language code (e.g. en, es, de, fr).", "default": "en" }, "datePosted": { "title": "Date posted", "enum": [ "all", "today", "3days", "week", "month" ], "type": "string", "description": "Only return jobs posted within this window.", "default": "all" }, "employmentType": { "title": "Employment type", "type": "array", "description": "Filter by employment type. Leave empty for all types.", "items": { "type": "string", "enum": [ "FULLTIME", "PARTTIME", "CONTRACTOR", "INTERN" ], "enumTitles": [ "Full-time", "Part-time", "Contractor", "Intern" ] } }, "workFromHome": { "title": "Remote only", "type": "boolean", "description": "Only return work-from-home / remote jobs.", "default": 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 } } } } } } } } } } ```