# Job Finder – Multi-Site Job Scraper (`moving_beacon-owner1/my-actor-41`) Actor Scrapes LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Google Jobs simultaneously. Returns structured, deduplicated job listings with detailed info like title, company, location, salary, and remote options. Optionally exports results as a CSV. - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-41.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 5 total users, 1 monthly users, 88.2% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## Job Finder – Multi-Site Job Scraper An Apify actor that searches multiple job boards simultaneously and returns structured, deduplicated results. ### Supported Sites | Site | Key | |----------------|------------------| | LinkedIn | `linkedin` | | Indeed | `indeed` | | Glassdoor | `glassdoor` | | ZipRecruiter | `zip_recruiter` | | Google Jobs | `google` | ### Input Example ```json { "search_term": "python developer", "location": "United States", "site_names": ["linkedin", "indeed"], "results_wanted": 100, "hours_old": 72, "distance": 50, "job_type": "fulltime", "is_remote": false, "country_indeed": "United States", "export_csv": true } ```` #### Input Parameters | Parameter | Type | Default | Description | |------------------|----------|--------------------|--------------------------------------------------| | `search_term` | string | `python developer` | Job title / keywords | | `location` | string | `United States` | Geographic area | | `site_names` | string\[] | `[linkedin,indeed]`| Which boards to scrape | | `results_wanted` | integer | `100` | Max results per site | | `hours_old` | integer | `72` | Only jobs posted within N hours | | `distance` | integer | `50` | Radius in miles | | `job_type` | string | (any) | `fulltime`, `parttime`, `internship`, `contract` | | `is_remote` | boolean | `false` | Only remote positions | | `country_indeed` | string | `United States` | Country for Indeed domain | | `export_csv` | boolean | `true` | Also save CSV to key-value store | ### Output Each record in the default dataset contains: ``` site, title, company, company_url, location, date_posted, job_url, job_type, salary_source, interval, min_amount, max_amount, currency, description, emails, is_remote, scraped_at, search_term, search_location ``` If `export_csv` is enabled, a ready-to-download `jobs.csv` file is also saved to the run's default key-value store. ### Running Locally ```bash ## Install deps pip install -r requirements.txt ## Create input mkdir -p storage/key_value_stores/default echo '{"search_term":"data engineer","location":"New York","site_names":["linkedin"],"results_wanted":10,"hours_old":24}' \ > storage/key_value_stores/default/INPUT.json ## Run python -m src ``` ### Deploying to Apify ```bash apify login apify push ``` Then trigger runs from the Apify Console, API, or schedule them on a cron. # Actor input Schema ## `search_term` (type: `string`): Job title or keywords to search for (e.g. 'python developer', 'data engineer'). ## `location` (type: `string`): Geographic location to search in (e.g. 'United States', 'San Francisco, CA'). ## `site_names` (type: `array`): Which job boards to scrape. ## `results_wanted` (type: `integer`): Maximum number of job listings to retrieve per site. ## `hours_old` (type: `integer`): Only return jobs posted within this many hours (filters by date). ## `distance` (type: `integer`): Radius in miles around the location to search. ## `job_type` (type: `string`): Filter by employment type. ## `is_remote` (type: `boolean`): If enabled, only return remote positions. ## `country_indeed` (type: `string`): Country for Indeed searches (uses country-specific Indeed domain). ## `export_csv` (type: `boolean`): Also save results as a CSV file in the key-value store for easy download. ## Actor input object example ```json { "search_term": "python developer", "location": "United States", "site_names": [ "linkedin", "indeed" ], "results_wanted": 100, "hours_old": 72, "distance": 50, "is_remote": false, "country_indeed": "United States", "export_csv": true } ``` # Actor output Schema ## `results` (type: `string`): All scraped job listings normalized to a consistent schema (accessible via API). ## `csv` (type: `string`): CSV file containing all job listings. ## `report` (type: `string`): Per-site success/failure report with timing and error details. ## `id` (type: `string`): No description ## `site` (type: `string`): No description ## `job_url` (type: `string`): No description ## `job_url_direct` (type: `string`): No description ## `title` (type: `string`): No description ## `company` (type: `string`): No description ## `location` (type: `string`): No description ## `date_posted` (type: `string`): No description ## `job_type` (type: `string`): No description ## `salary_source` (type: `string`): No description ## `interval` (type: `string`): No description ## `min_amount` (type: `string`): No description ## `max_amount` (type: `string`): No description ## `currency` (type: `string`): No description ## `is_remote` (type: `string`): No description ## `job_level` (type: `string`): No description ## `job_function` (type: `string`): No description ## `listing_type` (type: `string`): No description ## `emails` (type: `string`): No description ## `description` (type: `string`): No description ## `skills` (type: `string`): No description ## `experience_range` (type: `string`): No description ## `company_rating` (type: `string`): No description ## `company_reviews_count` (type: `string`): No description ## `vacancy_count` (type: `string`): No description ## `work_from_home_type` (type: `string`): No description ## `company_num_employees` (type: `string`): No description ## `company_revenue` (type: `string`): No description ## `company_description` (type: `string`): No description ## `company_industry` (type: `string`): No description ## `company_url` (type: `string`): No description ## `company_url_direct` (type: `string`): No description ## `company_addresses` (type: `string`): No description ## `company_logo` (type: `string`): No description ## `scraped_at` (type: `string`): No description ## `search_term` (type: `string`): No description ## `search_location` (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 = { "search_term": "python developer", "location": "United States", "site_names": [ "linkedin", "indeed" ], "results_wanted": 100, "hours_old": 72, "distance": 50, "job_type": "", "country_indeed": "United States" }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/my-actor-41").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 = { "search_term": "python developer", "location": "United States", "site_names": [ "linkedin", "indeed", ], "results_wanted": 100, "hours_old": 72, "distance": 50, "job_type": "", "country_indeed": "United States", } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/my-actor-41").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 '{ "search_term": "python developer", "location": "United States", "site_names": [ "linkedin", "indeed" ], "results_wanted": 100, "hours_old": 72, "distance": 50, "job_type": "", "country_indeed": "United States" }' | apify call moving_beacon-owner1/my-actor-41 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-41", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Finder – Multi-Site Job Scraper", "description": "Scrapes LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Google Jobs simultaneously. Returns structured, deduplicated job listings with detailed info like title, company, location, salary, and remote options. Optionally exports results as a CSV.", "version": "0.0", "x-build-id": "Me8KLNKXeWr2Dj5kF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-41/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-41", "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/moving_beacon-owner1~my-actor-41/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-41", "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/moving_beacon-owner1~my-actor-41/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-41", "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": [ "search_term", "location", "site_names" ], "properties": { "search_term": { "title": "Search Term", "type": "string", "description": "Job title or keywords to search for (e.g. 'python developer', 'data engineer')." }, "location": { "title": "Location", "type": "string", "description": "Geographic location to search in (e.g. 'United States', 'San Francisco, CA')." }, "site_names": { "title": "Job Sites", "minItems": 1, "type": "array", "description": "Which job boards to scrape.", "items": { "type": "string", "enum": [ "linkedin", "indeed", "glassdoor", "zip_recruiter", "google" ] } }, "results_wanted": { "title": "Max Results Per Site", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to retrieve per site." }, "hours_old": { "title": "Hours Old", "minimum": 1, "maximum": 720, "type": "integer", "description": "Only return jobs posted within this many hours (filters by date)." }, "distance": { "title": "Distance (miles)", "minimum": 0, "maximum": 200, "type": "integer", "description": "Radius in miles around the location to search." }, "job_type": { "title": "Job Type", "enum": [ "", "fulltime", "parttime", "internship", "contract" ], "type": "string", "description": "Filter by employment type." }, "is_remote": { "title": "Remote Only", "type": "boolean", "description": "If enabled, only return remote positions.", "default": false }, "country_indeed": { "title": "Indeed Country", "type": "string", "description": "Country for Indeed searches (uses country-specific Indeed domain)." }, "export_csv": { "title": "Export CSV to Key-Value Store", "type": "boolean", "description": "Also save results as a CSV file in the key-value store for easy download.", "default": true } } }, "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 } } } } } } } } } } ```