# Google Jobs Scraper (`scrapers-hub/google-jobs-scraper`) Actor Google Jobs scraper to extract job listings, company names, job titles, locations, salaries (when available), posting dates, and other publicly available job details from Google Jobs πŸ’ΌπŸ“Š Perfect for job market research, recruitment, lead generation, and employment trend analysis. - **URL**: https://apify.com/scrapers-hub/google-jobs-scraper.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 (Apify Actor) Scrapes Google Jobs (`udm=8`) listings and outputs SerpApi-compatible records to the Actor dataset. Rendering is done with Playwright/Chromium behind Apify residential proxies (Google blocks datacenter IPs with a captcha wall). ### Input | Field | Type | Description | |---|---|---| | `query` | string | What to search for (e.g. `Software Engineer`). Ignored if `url` is set. | | `url` | string | A ready-made Google Jobs URL β€” overrides `query`. | | `location` | string | City / state / country to bias the search. | | `country` | enum | Google country code (`us`, `ca`, `uk`, …). | | `language` | string | Interface language (`hl`), e.g. `en`. | | `googleDomain` | string | Google domain, e.g. `google.com`. | | `maxItems` | integer | Max jobs to collect (10–1000). | | `maxPagination` | integer | Scroll rounds; `0` = until `maxItems`. | | `includeLrad` / `lradValue` | boolean / string | Location-radius filter (km). | | `maxDelay` | integer | Seconds between scroll rounds (0–10). | | `engine` | enum | `auto` \| `browser` \| `requests`. | | `debug` | boolean | Dump debug HTML/screenshots. | | `proxyConfiguration` | object | Proxy settings (defaults to Apify RESIDENTIAL). | ### Output Each dataset item is one job: `title`, `company_name`, `location`, `via`, `share_link`, `source_link`, `description`, `apply_options`, `detected_extensions`, `job_id`, and search metadata β€” matching the SerpApi Google Jobs shape. ### Local run ```bash pip install -r requirements.txt playwright install chromium apify run # via the Apify CLI, or: python -m src.main # reads input from ./storage/key_value_stores/default/INPUT.json ```` ### Architecture `app.py` holds the standalone scraper (still runnable as a CLI). `src/main.py` is the Apify wrapper: it resolves a proxy URL from the Actor proxy configuration, runs the synchronous Playwright scraper in a worker thread, and streams each job to the dataset live via `Actor.push_data`. # Actor input Schema ## `query` (type: `string`): What to search for, e.g. "Software Engineer". Ignored if a direct URL is given. ## `url` (type: `string`): A ready-made Google Jobs / Google search URL. Overrides the query when set. ## `location` (type: `string`): City / state / country to bias the search, e.g. "San Francisco, CA". ## `country` (type: `string`): Google country code (gl). ## `language` (type: `string`): Interface language code (hl), e.g. "en". ## `googleDomain` (type: `string`): Google domain to hit, e.g. "google.com" or "google.ca". ## `maxItems` (type: `integer`): Maximum number of jobs to collect (10-1000). ## `maxPagination` (type: `integer`): 0 = scroll until maxItems (or no more results). ## `includeLrad` (type: `boolean`): Apply a location-radius (lrad) filter. ## `lradValue` (type: `string`): Radius in km; only used when the location-radius filter is enabled. ## `maxDelay` (type: `integer`): Pause between scroll rounds (0-10). ## `engine` (type: `string`): Rendering engine. "browser" (Playwright) is the real path for udm=8; "requests" is legacy. ## `debug` (type: `boolean`): Dump debug HTML/screenshots to the key-value store. ## Actor input object example ```json { "query": "Software Engineer", "country": "us", "language": "en", "googleDomain": "google.com", "maxItems": 100, "maxPagination": 0, "includeLrad": false, "lradValue": "5", "maxDelay": 1, "engine": "auto", "debug": false } ``` # 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 = { "query": "Software Engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/google-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "query": "Software Engineer" } # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/google-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "Software Engineer" }' | apify call scrapers-hub/google-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/google-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Jobs Scraper", "description": "Google Jobs scraper to extract job listings, company names, job titles, locations, salaries (when available), posting dates, and other publicly available job details from Google Jobs πŸ’ΌπŸ“Š Perfect for job market research, recruitment, lead generation, and employment trend analysis.", "version": "0.1", "x-build-id": "P5mdUT7G3Fb01peD6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~google-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~google-jobs-scraper/runs": { "post": { "operationId": "runs-sync-scrapers-hub-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~google-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search query", "type": "string", "description": "What to search for, e.g. \"Software Engineer\". Ignored if a direct URL is given.", "default": "Software Engineer" }, "url": { "title": "Direct Google Jobs URL (optional)", "type": "string", "description": "A ready-made Google Jobs / Google search URL. Overrides the query when set." }, "location": { "title": "Location", "type": "string", "description": "City / state / country to bias the search, e.g. \"San Francisco, CA\"." }, "country": { "title": "Country", "enum": [ "us", "ca", "uk", "de", "fr", "au", "jp", "in", "br", "mx" ], "type": "string", "description": "Google country code (gl).", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Interface language code (hl), e.g. \"en\".", "default": "en" }, "googleDomain": { "title": "Google domain", "type": "string", "description": "Google domain to hit, e.g. \"google.com\" or \"google.ca\".", "default": "google.com" }, "maxItems": { "title": "Max items", "minimum": 10, "maximum": 1000, "type": "integer", "description": "Maximum number of jobs to collect (10-1000).", "default": 100 }, "maxPagination": { "title": "Max pagination (scroll rounds)", "minimum": 0, "type": "integer", "description": "0 = scroll until maxItems (or no more results).", "default": 0 }, "includeLrad": { "title": "Enable location-radius filter", "type": "boolean", "description": "Apply a location-radius (lrad) filter.", "default": false }, "lradValue": { "title": "Location radius (km)", "type": "string", "description": "Radius in km; only used when the location-radius filter is enabled.", "default": "5" }, "maxDelay": { "title": "Max delay between scrolls (seconds)", "minimum": 0, "maximum": 10, "type": "integer", "description": "Pause between scroll rounds (0-10).", "default": 1 }, "engine": { "title": "Engine", "enum": [ "auto", "browser", "requests" ], "type": "string", "description": "Rendering engine. \"browser\" (Playwright) is the real path for udm=8; \"requests\" is legacy.", "default": "auto" }, "debug": { "title": "Debug", "type": "boolean", "description": "Dump debug HTML/screenshots to the key-value store.", "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 } } } } } } } } } } ```