# Google Jobs Scraper (`thescrappa/google-jobs-scraper`) Actor - **URL**: https://apify.com/thescrappa/google-jobs-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% 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 Search job listings indexed by Google Jobs through the Scrappa Google Jobs API. ### Features - Job listings with title, company, location, source, description, and metadata - Country, language, Google domain, and encoded-location targeting - Google Jobs filter token support - Next-page token support for pagination - Full raw API response saved to the key-value store ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `q` | string | Conditionally | Job search query. Required unless `next_page_token` is provided. Defaults to `nurse jobs in Austin` when the actor is started with empty or placeholder input. | | `next_page_token` | string | Conditionally | Token from a previous response to fetch the next page. | | `gl` | string | No | Two-letter country code, for example `us`, `uk`, or `de`. | | `hl` | string | No | Two-letter language code, for example `en`, `de`, or `es`. | | `google_domain` | string | No | Google domain to query, for example `google.com` or `google.de`. | | `uule` | string | No | Google-encoded location parameter for precise geolocation. | | `lrad` | integer | No | Search radius in miles. Requires `uule`. | | `uds` | string | No | Dynamic filter string returned in a previous response. | ### Output #### Dataset Each job in the `jobs` array is saved to the dataset. ```json { "title": "Software Engineer", "company": "Example Corp", "location": "New York, NY", "via": "LinkedIn", "description": "Build and maintain production systems...", "job_id": "example-job-id" } ```` #### Key-Value Store The complete Scrappa response is saved to the `OUTPUT` key, including filters and pagination tokens when returned. ```json { "jobs": [], "filters": [], "next_page_token": "..." } ``` ### Example ```json { "q": "nurse jobs in Austin", "gl": "us", "hl": "en", "google_domain": "google.com" } ``` ### Support For issues or questions, contact us through Apify. # Actor input Schema ## `q` (type: `string`): Job search query. Leave empty only when using a next page token. Empty or placeholder input defaults to a narrow US example query. ## `next_page_token` (type: `string`): Pagination token returned by a previous Google Jobs response. When provided, the query can be omitted. ## `gl` (type: `string`): Two-letter country code for search results (e.g., 'us', 'uk', 'de', 'fr') ## `hl` (type: `string`): Two-letter language code for the interface (e.g., 'en', 'de', 'es', 'fr') ## `google_domain` (type: `string`): Google domain to query (e.g., 'google.com', 'google.de', 'google.co.uk') ## `uule` (type: `string`): Google-encoded location parameter for precise geolocation. ## `lrad` (type: `integer`): Search radius around the encoded location in miles. Supported values: 5, 10, 25, 50, or 100. Requires uule. ## `uds` (type: `string`): Dynamic Google Jobs filter string returned in the filters section of a previous response. ## Actor input object example ```json { "q": "nurse jobs in Austin", "gl": "us", "hl": "en", "google_domain": "google.com" } ``` # 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 = { "q": "nurse jobs in Austin" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "q": "nurse jobs in Austin" } # Run the Actor and wait for it to finish run = client.actor("thescrappa/google-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "q": "nurse jobs in Austin" }' | apify call thescrappa/google-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/google-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Jobs Scraper", "version": "1.0", "x-build-id": "H0UIQ4zBcmlG4y182" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~google-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-google-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/thescrappa~google-jobs-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-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/thescrappa~google-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-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": { "q": { "title": "Job Search Query", "type": "string", "description": "Job search query. Leave empty only when using a next page token. Empty or placeholder input defaults to a narrow US example query." }, "next_page_token": { "title": "Next Page Token", "type": "string", "description": "Pagination token returned by a previous Google Jobs response. When provided, the query can be omitted." }, "gl": { "title": "Country", "maxLength": 2, "type": "string", "description": "Two-letter country code for search results (e.g., 'us', 'uk', 'de', 'fr')", "default": "us" }, "hl": { "title": "Language", "maxLength": 2, "type": "string", "description": "Two-letter language code for the interface (e.g., 'en', 'de', 'es', 'fr')", "default": "en" }, "google_domain": { "title": "Google Domain", "type": "string", "description": "Google domain to query (e.g., 'google.com', 'google.de', 'google.co.uk')", "default": "google.com" }, "uule": { "title": "Encoded Location", "type": "string", "description": "Google-encoded location parameter for precise geolocation." }, "lrad": { "title": "Search Radius", "minimum": 5, "maximum": 100, "type": "integer", "description": "Search radius around the encoded location in miles. Supported values: 5, 10, 25, 50, or 100. Requires uule." }, "uds": { "title": "Filter Token", "type": "string", "description": "Dynamic Google Jobs filter string returned in the filters section of a previous response." } } }, "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 } } } } } } } } } } ```