# Indeed Job Scraper (`hermesexp/indeed-job-scraper`) Actor Scrape job listings from Indeed in 18 countries. Extract title, company, salary, description and more. - **URL**: https://apify.com/hermesexp/indeed-job-scraper.md - **Developed by:** [Dima Radov](https://apify.com/hermesexp) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Indeed Job Scraper Scrape job listings from **Indeed.com** — extract job title, company name, location, salary, description snippet, and job URL from search results. ### Features - 🔍 **Keyword & Location Search** — Search by job title, keywords, and location - 🌐 **Multiple Country Domains** — Supports `.com`, `.co.uk`, `.ca`, `.de`, `.fr`, `.in`, `.au` and more - 📄 **Pagination** — Scrapes multiple pages of search results - 📋 **Full Job Data** — Extracts title, company, location, salary, description, and URL - 📝 **Full Description Mode** — Optionally click into each job to scrape the full description - 🚀 **Playwright-powered** — Handles JavaScript-rendered content ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchTerms` | `array[string]` | ✅ | Job search keywords (e.g., "software engineer", "data scientist") | | `location` | `string` | ❌ | Job location (e.g., "New York", "remote", "San Francisco, CA") | | `country` | `string` | ❌ | Indeed domain country code. Default: `com` | | `maxResults` | `integer` | ❌ | Max jobs to scrape (1-1000). Default: `50` | | `maxPagesPerSearch` | `integer` | ❌ | Max pages per search term. Default: `5` | | `includeFullDescription` | `boolean` | ❌ | Scrape full job descriptions (slower). Default: `false` | ### Output Each result is a JSON object with: | Field | Description | |-------|-------------| | `jobId` | Indeed unique job ID | | `title` | Job title | | `company` | Company name | | `location` | Job location | | `salary` | Salary information (if available) | | `descriptionSnippet` | Short description from search results | | `fullDescription` | Full job description (if `includeFullDescription` is true) | | `jobUrl` | Direct link to the job listing | | `rating` | Company rating (if available) | | `postedDate` | When the job was posted | | `jobType` | Job type/schedule (if available) | | `searchKeywords` | Search keyword used to find this job | | `searchLocation` | Location used in the search | ### Example ```json { "jobId": "abc123def456", "title": "Software Engineer", "company": "Acme Corp", "location": "San Francisco, CA", "salary": "$150,000 - $200,000 a year", "descriptionSnippet": "We are looking for a software engineer to join our team...", "jobUrl": "https://www.indeed.com/viewjob?jk=abc123def456", "postedDate": "30+ days ago", "searchKeywords": "software engineer", "searchLocation": "remote" } ```` ### Notes - Indeed rate limits and may show captchas for heavy usage. Keep `maxResults` reasonable. - The actor respects Indeed's `maxPagesPerSearch` setting to avoid excessive requests. - Job data availability depends on how the employer configured their listing on Indeed. # Actor input Schema ## `searchTerms` (type: `array`): Job search terms/keywords. Examples: 'software engineer', 'data scientist', 'nurse'. ## `location` (type: `string`): Job location. Examples: 'New York', 'remote', 'San Francisco, CA'. ## `country` (type: `string`): Indeed domain to use. Use 'com' for global/US, 'co.uk' for UK, 'de' for Germany, 'ca' for Canada, 'au' for Australia, 'in' for India, etc. ## `maxResults` (type: `integer`): Maximum number of job listings to scrape across all search terms. ## `maxPagesPerSearch` (type: `integer`): Maximum number of search result pages to scrape per search term (Indeed shows ~15 results per page). ## `includeFullDescription` (type: `boolean`): If true, clicks into each job listing to scrape the full job description (slower, more data). If false, only extracts the description snippet from search results. ## Actor input object example ```json { "searchTerms": [ "software engineer" ], "location": "remote", "country": "com", "maxResults": 50, "maxPagesPerSearch": 5, "includeFullDescription": 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 = { "searchTerms": [ "software engineer" ], "location": "remote" }; // Run the Actor and wait for it to finish const run = await client.actor("hermesexp/indeed-job-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 = { "searchTerms": ["software engineer"], "location": "remote", } # Run the Actor and wait for it to finish run = client.actor("hermesexp/indeed-job-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 '{ "searchTerms": [ "software engineer" ], "location": "remote" }' | apify call hermesexp/indeed-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hermesexp/indeed-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Job Scraper", "description": "Scrape job listings from Indeed in 18 countries. Extract title, company, salary, description and more.", "version": "1.0", "x-build-id": "77aDNynJSrJZACRgP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hermesexp~indeed-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hermesexp-indeed-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hermesexp~indeed-job-scraper/runs": { "post": { "operationId": "runs-sync-hermesexp-indeed-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hermesexp~indeed-job-scraper/run-sync": { "post": { "operationId": "run-sync-hermesexp-indeed-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchTerms" ], "properties": { "searchTerms": { "title": "Search Terms", "type": "array", "description": "Job search terms/keywords. Examples: 'software engineer', 'data scientist', 'nurse'.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Job location. Examples: 'New York', 'remote', 'San Francisco, CA'." }, "country": { "title": "Country Domain", "type": "string", "description": "Indeed domain to use. Use 'com' for global/US, 'co.uk' for UK, 'de' for Germany, 'ca' for Canada, 'au' for Australia, 'in' for India, etc.", "default": "com" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job listings to scrape across all search terms.", "default": 50 }, "maxPagesPerSearch": { "title": "Max Pages Per Search", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of search result pages to scrape per search term (Indeed shows ~15 results per page).", "default": 5 }, "includeFullDescription": { "title": "Include Full Description", "type": "boolean", "description": "If true, clicks into each job listing to scrape the full job description (slower, more data). If false, only extracts the description snippet from search results.", "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 } } } } } } } } } } ```