# Google Jobs Scraper - Aggregated Job Listings (`thirdwatch/google-jobs-scraper`) Actor Scrape Google Jobs (Google for Jobs) aggregated listings: title, company, salary, description, job type, source (Indeed/LinkedIn/Glassdoor), and apply URLs. Searches across 20+ job boards at once. Any country, any query. - **URL**: https://apify.com/thirdwatch/google-jobs-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Jobs - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 - Aggregated Job Listings > Scrape Google Jobs (Google for Jobs) aggregated listings. Search across 20+ job boards at once. ### What you get Google Jobs aggregates listings from Indeed, LinkedIn, Glassdoor, ZipRecruiter, and dozens more. Get job titles, companies, salaries, descriptions, job types, original sources, and apply URLs -- all from a single search. Works for any country and any query. ### Output fields | Field | Description | |-------|-------------| | `title` | Job title | | `company_name` | Hiring company | | `location` | Job location | | `salary` | Salary range (when available) | | `description` | Job description | | `job_type` | Full-time, Part-time, etc. | | `source` | Original job board (Indeed, LinkedIn, etc.) | | `apply_url` | Direct apply URL | | `posted_date` | Posting date | ### Example output ```json { "title": "Data Analyst", "company_name": "Amazon", "location": "Seattle, WA", "salary": "$85,000 - $120,000", "description": "We are looking for a Data Analyst to join our team...", "job_type": "Full-time", "source": "LinkedIn", "apply_url": "https://www.linkedin.com/jobs/view/...", "posted_date": "2 days ago" } ```` ### Input parameters | Parameter | Required | Description | |-----------|----------|-------------| | `queries` | Yes | Job search queries (e.g., "data analyst seattle") | | `maxResults` | No | Max results per query (default: 25) | | `country` | No | Country code for localized results (default: us) | ### Use cases - **Job aggregators**: Get listings from 20+ boards in one scrape - **Market researchers**: Compare job availability across sources - **HR analytics**: Track which boards have the most listings for specific roles - **Job seekers**: Search all major boards simultaneously ### Pricing Pay-per-result pricing at $0.005 per job listing. ### Limitations - Results depend on Google's aggregation -- not all jobs from all boards are included - Some fields (salary) are not always available - Google may limit results for very broad queries # Actor input Schema ## `queries` (type: `array`): Job search queries (e.g., 'software engineer new york', 'data scientist remote'). Each query runs a separate Google Jobs search. ## `maxResults` (type: `integer`): Maximum number of jobs to scrape per query. Google Jobs typically shows 10 initially and loads more on scroll. ## `country` (type: `string`): Two-letter country code for localized results (e.g., 'us', 'uk', 'in', 'de'). ## `location` (type: `string`): Optional location to append to queries (e.g., 'San Francisco, CA'). Leave empty to use location from query. ## `proxyConfiguration` (type: `object`): IPs ## Actor input object example ```json { "queries": [ "software engineer new york" ], "maxResults": 10, "country": "us", "location": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "software engineer new york" ], "maxResults": 10, "country": "us" }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/google-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "queries": ["software engineer new york"], "maxResults": 10, "country": "us", } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/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 '{ "queries": [ "software engineer new york" ], "maxResults": 10, "country": "us" }' | apify call thirdwatch/google-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/google-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Jobs Scraper - Aggregated Job Listings", "description": "Scrape Google Jobs (Google for Jobs) aggregated listings: title, company, salary, description, job type, source (Indeed/LinkedIn/Glassdoor), and apply URLs. Searches across 20+ job boards at once. Any country, any query.", "version": "1.0", "x-build-id": "4ViihR4Xa3eWYxuZh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~google-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~google-jobs-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~google-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Job Search Queries", "type": "array", "description": "Job search queries (e.g., 'software engineer new york', 'data scientist remote'). Each query runs a separate Google Jobs search.", "default": [ "software engineer new york" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results Per Query", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of jobs to scrape per query. Google Jobs typically shows 10 initially and loads more on scroll.", "default": 50 }, "country": { "title": "Country Code", "type": "string", "description": "Two-letter country code for localized results (e.g., 'us', 'uk', 'in', 'de').", "default": "us" }, "location": { "title": "Location Filter", "type": "string", "description": "Optional location to append to queries (e.g., 'San Francisco, CA'). Leave empty to use location from query.", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "IPs", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```