# Indeed Jobs Scraper (`codingfrontend/indeed-jobs-scraper`) Actor Scrapes job listings from Indeed.com using Playwright browser automation. Supports keyword search, location filters, date posted, job type, experience level, and deep scraping for full job descriptions. - **URL**: https://apify.com/codingfrontend/indeed-jobs-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 ## Indeed Jobs Scraper Scrapes job listings from Indeed.com using Playwright browser automation. Supports keyword search, location filters, date posted, job type, experience level, and deep scraping for full job descriptions. ### Features - **Keyword search** — find content by keyword, search term, or topic - **Location filtering** — narrow results to specific cities, regions, or countries - **Configurable result limit** — set exactly how many items to collect per run - **Date filtering** — filter results by posting recency - **Cloud-ready** — runs on Apify with scheduling, proxy rotation, and webhook support ### Use Cases - Job market research and salary benchmarking across industries - Automated recruitment pipeline and candidate sourcing - Tracking new job postings for target companies or roles - Competitive analysis of hiring trends by location and role ### Input | Field | Type | Default | Required | Description | |-------|------|---------|----------|-------------| | `keywords` | string | `software engineer` | ✓ | Job search keywords (e.g., software engineer, data analyst, nurse) | | `location` | string | `` | | City, state, or zip code for job search (e.g., New York, NY) | | `country` | string | `www` | | Indeed country domain code. Use 'www' or 'us' for USA, 'uk' for UK, 'ca' for Canada, 'in' for India, 'au' for Australia, etc. | | `maxItems` | integer | `50` | | Maximum number of job listings to scrape. | | `maxPages` | integer | `5` | | Maximum number of search result pages to scrape (10 jobs per page). | | `deepSearch` | boolean | `False` | | When enabled, visits each job's detail page to extract full description, benefits, and hiring insights. | | `datePosted` | string | `` | | Filter by when the job was posted. Options: ``, `1`, `3`, `7`, `14` | | `jobType` | string | `` | | Filter by job type. Options: ``, `fulltime`, `parttime`, `contract`, `temporary`, `internship`, `commission` | | `experienceLevel` | string | `` | | Filter by experience level. Options: ``, `entry_level`, `mid_level`, `senior_level` | | `remote` | string | `` | | Filter for remote jobs only. Options: ``, `remote` | | `sort` | string | `relevance` | | Sort results by relevance or date. Options: `relevance`, `date` | | `radius` | string | `` | | Search radius in miles from the location. Options: ``, `5`, `10`, `15`, `25`, `35`, `50`, `100` | | `headless` | boolean | `True` | | Run browser in headless mode (recommended for production). | | `proxyConfiguration` | object | Apify Residential | | Proxy settings. Residential proxy is strongly recommended | ### Output Each scraped item includes: | Field | Description | |-------|-------------| | `url` | Direct URL to the listing/item page | | `title` | Full product or listing title | | `description` | Full description text | | `rating` | Average user rating score | | `price` | Current price as displayed on the site | | `scrapedAt` | Timestamp when this item was scraped (ISO 8601) | #### Sample Output ```json { "url": "https://example.com/item/123", "title": "Example Product or Listing Title", "description": "Full item description text...", "rating": 4.5, "price": "$49.99", "scrapedAt": "2024-01-20T10:30:00.000Z" } ```` ### Notes - **Proxy**: Residential proxy is highly recommended — set `proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] }` - **Rate limits**: Keep `maxItems` reasonable per run to avoid IP bans or rate throttling - **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset # Actor input Schema ## `keywords` (type: `string`): Job search keywords (e.g., software engineer, data analyst, nurse) ## `location` (type: `string`): City, state, or zip code for job search (e.g., New York, NY) ## `country` (type: `string`): Indeed country domain code. Use 'www' or 'us' for USA, 'uk' for UK, 'ca' for Canada, 'in' for India, 'au' for Australia, etc. ## `maxItems` (type: `integer`): Maximum number of job listings to scrape. ## `maxPages` (type: `integer`): Maximum number of search result pages to scrape (10 jobs per page). ## `deepSearch` (type: `boolean`): When enabled, visits each job's detail page to extract full description, benefits, and hiring insights. ## `datePosted` (type: `string`): Filter by when the job was posted. ## `jobType` (type: `string`): Filter by job type. ## `experienceLevel` (type: `string`): Filter by experience level. ## `remote` (type: `string`): Filter for remote jobs only. ## `sort` (type: `string`): Sort results by relevance or date. ## `radius` (type: `string`): Search radius in miles from the location. ## `headless` (type: `boolean`): Run browser in headless mode (recommended for production). ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies recommended to avoid blocks. ## Actor input object example ```json { "keywords": "software engineer", "location": "", "country": "www", "maxItems": 50, "maxPages": 5, "deepSearch": false, "datePosted": "", "jobType": "", "experienceLevel": "", "remote": "", "sort": "relevance", "radius": "", "headless": true } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/indeed-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 = {} # Run the Actor and wait for it to finish run = client.actor("codingfrontend/indeed-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 '{}' | apify call codingfrontend/indeed-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/indeed-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Jobs Scraper", "description": "Scrapes job listings from Indeed.com using Playwright browser automation. Supports keyword search, location filters, date posted, job type, experience level, and deep scraping for full job descriptions.", "version": "1.0", "x-build-id": "gOWrfe0bZBQOB0aEl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~indeed-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-indeed-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~indeed-jobs-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-indeed-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~indeed-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-indeed-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords", "type": "string", "description": "Job search keywords (e.g., software engineer, data analyst, nurse)", "default": "software engineer" }, "location": { "title": "Location", "type": "string", "description": "City, state, or zip code for job search (e.g., New York, NY)", "default": "" }, "country": { "title": "Country Domain", "type": "string", "description": "Indeed country domain code. Use 'www' or 'us' for USA, 'uk' for UK, 'ca' for Canada, 'in' for India, 'au' for Australia, etc.", "default": "www" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job listings to scrape.", "default": 50 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of search result pages to scrape (10 jobs per page).", "default": 5 }, "deepSearch": { "title": "Deep Search", "type": "boolean", "description": "When enabled, visits each job's detail page to extract full description, benefits, and hiring insights.", "default": false }, "datePosted": { "title": "Date Posted", "enum": [ "", "1", "3", "7", "14" ], "type": "string", "description": "Filter by when the job was posted.", "default": "" }, "jobType": { "title": "Job Type", "enum": [ "", "fulltime", "parttime", "contract", "temporary", "internship", "commission" ], "type": "string", "description": "Filter by job type.", "default": "" }, "experienceLevel": { "title": "Experience Level", "enum": [ "", "entry_level", "mid_level", "senior_level" ], "type": "string", "description": "Filter by experience level.", "default": "" }, "remote": { "title": "Remote Only", "enum": [ "", "remote" ], "type": "string", "description": "Filter for remote jobs only.", "default": "" }, "sort": { "title": "Sort By", "enum": [ "relevance", "date" ], "type": "string", "description": "Sort results by relevance or date.", "default": "relevance" }, "radius": { "title": "Search Radius (miles)", "enum": [ "", "5", "10", "15", "25", "35", "50", "100" ], "type": "string", "description": "Search radius in miles from the location.", "default": "" }, "headless": { "title": "Headless Browser", "type": "boolean", "description": "Run browser in headless mode (recommended for production).", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies recommended to avoid blocks." } } }, "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 } } } } } } } } } } ```