# Indeed Job Scraper (`pramodkonde17/indeed-job-scraper`) Actor Scrapes job listings from Indeed.com based on job role, location, and other filters. Returns structured job data including title, company, location, salary, and description. - **URL**: https://apify.com/pramodkonde17/indeed-job-scraper.md - **Developed by:** [Pramod Konde](https://apify.com/pramodkonde17) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $15.00 / 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 ## Indeed Job Scraper — Apify Actor Scrape job listings from [Indeed.com](https://indeed.com) based on job roles, location, and other filters. Returns structured job data ready for analysis or export. ### Features - Search multiple job roles in a single run - Filter by location (city, state, remote) - Filter by date posted, job type (full-time, part-time, contract, etc.) - Filter by remote-only positions - Optional minimum salary filter - Scrapes full job descriptions from individual job pages - Returns benefits, requirements, company rating, and hiring insights - Pagination support to collect up to 500 jobs per role - Proxy support (Apify Residential recommended) ### Input | Field | Type | Description | Default | |---|---|---|---| | `jobRoles` | Array | List of job titles to search (required) | `["Software Engineer"]` | | `location` | String | Location (city, state, or "Remote") | `"United States"` | | `maxJobsPerRole` | Integer | Max results per role (1–500) | `50` | | `datePostedFilter` | String | Recency filter: 1, 3, 7, 14 days | Any time | | `jobType` | String | fulltime / parttime / contract / temporary / internship | All | | `remoteOnly` | Boolean | Only return remote jobs | `false` | | `salaryMin` | Integer | Minimum annual salary | — | | `includeDescription` | Boolean | Fetch full description per job | `true` | | `proxyConfiguration` | Object | Apify proxy settings | Residential | #### Example Input ```json { "jobRoles": ["Data Scientist", "Machine Learning Engineer", "AI Engineer"], "location": "San Francisco, CA", "maxJobsPerRole": 100, "datePostedFilter": "7", "jobType": "fulltime", "remoteOnly": false, "includeDescription": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Each item in the dataset contains: | Field | Description | |---|---| | `jobId` | Unique Indeed job ID | | `jobTitle` | Job title | | `company` | Company name | | `location` | Job location | | `salary` | Salary range (if listed) | | `jobType` | Full-time, part-time, etc. | | `datePosted` | When the job was posted | | `summary` | Short summary from listing card | | `description` | Full job description text | | `descriptionHtml` | Full description as HTML | | `benefits` | Listed benefits | | `requirements` | Key requirements | | `companyRating` | Indeed company rating | | `companyReviewCount` | Number of company reviews | | `hiringInsights` | Hiring pace or insights | | `url` | Direct link to the job posting | | `searchRole` | Which job role was searched | | `scrapedAt` | Timestamp of when it was scraped | #### Example Output ```json { "jobId": "abc123def456", "jobTitle": "Senior Data Scientist", "company": "Acme Corp", "location": "San Francisco, CA", "salary": "$150,000 - $180,000 a year", "jobType": "Full-time", "datePosted": "2 days ago", "summary": "We are looking for a passionate Data Scientist...", "description": "About the role: We are looking for a passionate...", "benefits": ["Health insurance", "401(k)", "Remote work"], "companyRating": 4.2, "companyReviewCount": "312 reviews", "url": "https://www.indeed.com/viewjob?jk=abc123def456", "searchRole": "Data Scientist", "scrapedAt": "2024-01-15T10:30:00.000Z" } ``` ### Notes - **Proxy usage**: Apify Residential proxies are strongly recommended. Indeed actively blocks datacenter IPs. - **Rate of requests**: The actor uses `maxConcurrency: 5` to avoid triggering anti-bot measures. - **Indeed's structure**: Indeed frequently updates its HTML structure. If results are empty, the selectors may need updating. - **Legal**: Always check Indeed's Terms of Service before using this actor commercially. This actor is intended for research and personal use. ### Deployment 1. Clone or push this directory to Apify Console 2. Go to **Actors → Create new Actor** 3. Connect your GitHub repo or upload the files 4. Set your input in the **Input** tab 5. Run the actor Or use the Apify CLI: ```bash apify login apify push apify run ``` # Actor input Schema ## `jobRoles` (type: `array`): List of job roles/titles to search for (e.g. \['Software Engineer', 'Data Scientist', 'Product Manager']) ## `country` (type: `string`): Country to search jobs in. This selects the correct Indeed country site (e.g. de.indeed.com for Germany). ## `location` (type: `string`): Optional city or region within the selected country (e.g. 'Berlin', 'Munich', 'Hamburg'). Leave empty to search nationwide. ## `maxJobsPerRole` (type: `integer`): Maximum number of job listings to scrape per job role ## `datePostedFilter` (type: `string`): Filter jobs by how recently they were posted ## `jobType` (type: `string`): Filter by job type ## `remoteOnly` (type: `boolean`): Only return remote job listings ## `salaryMin` (type: `integer`): Minimum annual salary filter (optional) ## `includeDescription` (type: `boolean`): Scrape the full job description from each job listing page (slower, uses more requests) ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Using Apify residential proxies is strongly recommended to avoid blocks. ## Actor input object example ```json { "jobRoles": [ "Software Engineer" ], "country": "de", "maxJobsPerRole": 50, "datePostedFilter": "", "jobType": "", "remoteOnly": false, "includeDescription": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "jobRoles": [ "Software Engineer" ], "country": "de", "maxJobsPerRole": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("pramodkonde17/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 = { "jobRoles": ["Software Engineer"], "country": "de", "maxJobsPerRole": 50, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("pramodkonde17/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 '{ "jobRoles": [ "Software Engineer" ], "country": "de", "maxJobsPerRole": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call pramodkonde17/indeed-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pramodkonde17/indeed-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Job Scraper", "description": "Scrapes job listings from Indeed.com based on job role, location, and other filters. Returns structured job data including title, company, location, salary, and description.", "version": "1.0", "x-build-id": "aYSJxBkFlvNKA3gi6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pramodkonde17~indeed-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pramodkonde17-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/pramodkonde17~indeed-job-scraper/runs": { "post": { "operationId": "runs-sync-pramodkonde17-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/pramodkonde17~indeed-job-scraper/run-sync": { "post": { "operationId": "run-sync-pramodkonde17-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": [ "jobRoles" ], "properties": { "jobRoles": { "title": "Job Roles", "type": "array", "description": "List of job roles/titles to search for (e.g. ['Software Engineer', 'Data Scientist', 'Product Manager'])", "items": { "type": "string" } }, "country": { "title": "Country", "enum": [ "us", "de", "gb", "in", "ca", "au", "fr", "nl", "sg", "ae", "za", "ng", "pk", "ph", "mx", "br", "ar", "it", "es", "pl", "at", "ch", "be", "se", "no", "dk", "fi", "nz", "ie", "my", "id" ], "type": "string", "description": "Country to search jobs in. This selects the correct Indeed country site (e.g. de.indeed.com for Germany).", "default": "us" }, "location": { "title": "Location (City / Region)", "type": "string", "description": "Optional city or region within the selected country (e.g. 'Berlin', 'Munich', 'Hamburg'). Leave empty to search nationwide." }, "maxJobsPerRole": { "title": "Max Jobs Per Role", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to scrape per job role", "default": 50 }, "datePostedFilter": { "title": "Date Posted Filter", "enum": [ "", "1", "3", "7", "14" ], "type": "string", "description": "Filter jobs by how recently they were posted", "default": "" }, "jobType": { "title": "Job Type", "enum": [ "", "fulltime", "parttime", "contract", "temporary", "internship" ], "type": "string", "description": "Filter by job type", "default": "" }, "remoteOnly": { "title": "Remote Only", "type": "boolean", "description": "Only return remote job listings", "default": false }, "salaryMin": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Minimum annual salary filter (optional)" }, "includeDescription": { "title": "Include Full Job Description", "type": "boolean", "description": "Scrape the full job description from each job listing page (slower, uses more requests)", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Using Apify residential proxies is strongly 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 } } } } } } } } } } ```