# Google Jobs Scraper (`dash_authority/google-jobs-scraper`) Actor Scrape Google Jobs search results by keyword and location. Extracts job titles, companies, locations, salaries, descriptions, and job metadata from Google job listings. - **URL**: https://apify.com/dash\_authority/google-jobs-scraper.md - **Developed by:** [Dash Authority](https://apify.com/dash_authority) (community) - **Categories:** Jobs, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 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 A powerful Apify actor for scraping Google Jobs search results by keyword and location. Built with Playwright for reliable JavaScript rendering. ### Features - 🔍 **Keyword & Location Search** — Search for jobs by title/keywords and any location - 📅 **Date Filtering** — Filter by posting date (24h, 3 days, week, month) - 💰 **Salary Extraction** — Captures salary information when available - 📝 **Full Descriptions** — Extracts complete job descriptions - 🏢 **Company Details** — Gets company names and job types - 🔗 **Direct Links** — Provides URLs to original job postings - 🛡️ **Anti-Bot Protection** — Realistic user agents, delays, and proxy support ### Use Cases 1. **Job Market Research** — Analyze salary trends and job availability by location 2. **Recruitment Intelligence** — Monitor competitor job postings 3. **Career Planning** — Track job openings in your field 4. **HR Analytics** — Collect data for workforce planning 5. **Lead Generation** — Identify companies actively hiring ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchQuery` | string | ✅ | Job title or keywords (e.g., "software engineer") | | `location` | string | ✅ | Location to search (e.g., "New York, NY" or "United States") | | `maxResults` | integer | ❌ | Maximum results to return (1-200, default: 50) | | `postedWithin` | select | ❌ | Filter: "any", "24h", "3days", "week", "month" | | `proxyConfiguration` | object | ❌ | Apify proxy settings (recommended) | ### Example Output ```json { "title": "Senior Software Engineer", "company": "Google", "location": "New York, NY", "salary": "$150,000 - $220,000 USD/year", "description": "We are looking for a Senior Software Engineer to join our team. You will work on large-scale distributed systems...", "url": "https://www.google.com/about/careers/applications/jobs/results/...", "postedDate": "2024-01-15", "jobType": "FULL_TIME", "source": "Google Jobs" } ```` ### Search Tips #### Effective Queries - ✅ `software engineer` — General job title - ✅ `python developer remote` — Include remote keyword - ✅ `data scientist entry level` — Specify experience level - ✅ `product manager fintech` — Include industry #### Location Formats - ✅ `New York, NY` — City and state - ✅ `United States` — Country-wide search - ✅ `Remote` — Remote positions - ✅ `San Francisco Bay Area` — Regional search #### Common Job Types - `FULL_TIME` — Full-time positions - `PART_TIME` — Part-time positions - `CONTRACTOR` — Contract roles - `INTERN` — Internships ### Running Locally ```bash ## Install dependencies pip install -r requirements.txt playwright install chromium ## Run the actor python -m src.main ``` ### Proxy Configuration For best results, enable Apify's residential proxy to: - Avoid IP-based rate limiting - Get location-specific results - Maintain consistent scraping performance ### Output Schema The actor outputs job listings with the following fields: | Field | Type | Description | |-------|------|-------------| | `title` | string | Job title | | `company` | string | Company name | | `location` | string | Job location | | `salary` | string | Salary range (if available) | | `description` | string | Full job description | | `url` | string | Link to original posting | | `postedDate` | string | When the job was posted | | `jobType` | string | Employment type | | `source` | string | Always "Google Jobs" | ### Rate Limits - Default delay: 1-3 seconds between requests - Recommended: Use proxy rotation for large-scale scraping - Max results: 200 per run ### Changelog #### v1.0.0 - Initial release - Playwright-based scraping - JSON-LD structured data extraction - DOM parsing fallback - Proxy support - Date filtering ### License MIT # Actor input Schema ## `searchQuery` (type: `string`): Job title or keywords to search for (e.g., 'software engineer', 'data scientist', 'product manager') ## `location` (type: `string`): Location to search for jobs (e.g., 'New York, NY', 'United States', 'Remote') ## `maxResults` (type: `integer`): Maximum number of job listings to return (1-200) ## `postedWithin` (type: `string`): Filter jobs by how recently they were posted ## `proxyConfiguration` (type: `object`): Proxy settings for accessing Google Jobs. Recommended to avoid rate limiting. ## Actor input object example ```json { "searchQuery": "software engineer", "location": "United States", "maxResults": 50, "postedWithin": "any" } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "searchQuery": "software engineer", "location": "United States", "maxResults": 50, "postedWithin": "any" }; // Run the Actor and wait for it to finish const run = await client.actor("dash_authority/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 = { "searchQuery": "software engineer", "location": "United States", "maxResults": 50, "postedWithin": "any", } # Run the Actor and wait for it to finish run = client.actor("dash_authority/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 '{ "searchQuery": "software engineer", "location": "United States", "maxResults": 50, "postedWithin": "any" }' | apify call dash_authority/google-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dash_authority/google-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Jobs Scraper", "description": "Scrape Google Jobs search results by keyword and location. Extracts job titles, companies, locations, salaries, descriptions, and job metadata from Google job listings.", "version": "1.0", "x-build-id": "wpevuCsU6eAGGjmgR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dash_authority~google-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dash_authority-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dash_authority~google-jobs-scraper/runs": { "post": { "operationId": "runs-sync-dash_authority-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dash_authority~google-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-dash_authority-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery", "location" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Job title or keywords to search for (e.g., 'software engineer', 'data scientist', 'product manager')" }, "location": { "title": "Location", "type": "string", "description": "Location to search for jobs (e.g., 'New York, NY', 'United States', 'Remote')" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of job listings to return (1-200)", "default": 50 }, "postedWithin": { "title": "Posted Within", "enum": [ "any", "24h", "3days", "week", "month" ], "type": "string", "description": "Filter jobs by how recently they were posted", "default": "any" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for accessing Google Jobs. Recommended to avoid rate limiting." } } }, "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 } } } } } } } } } } ```