# Indeed MCP Server (`axlymxp/indeed-mcp-server`) Actor MCP server + scraper for Indeed jobs. Let Claude, ChatGPT, Cursor and n8n search jobs, fetch full listings and autocomplete locations live via Model Context Protocol — or run it as a classic Indeed scraper. Pay per tool call. - **URL**: https://apify.com/axlymxp/indeed-mcp-server.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** Jobs, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage 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/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 MCP Server **Give your AI agent live access to Indeed.** This Actor is a [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server that lets Claude, ChatGPT, Cursor, n8n, and any other MCP-compatible client **search Indeed jobs, pull full job listings, and autocomplete locations and companies in real time** — no scraping code required. Prefer a classic scraper? The same Actor also runs as a one-shot dataset scraper when you give it a search query. --- ### What it does Expose Indeed to your AI agent as four tools: | Tool | What it returns | | --- | --- | | `search_indeed_jobs` | Job listings for a keyword + location: title, company, salary range, rating, location, snippet, apply link | | `get_indeed_job` | Full detail for one job: complete description, precise salary, employment type, address, direct-apply flag | | `suggest_indeed_locations` | Location autocomplete suggestions (e.g. "New York, NY") | | `suggest_indeed_companies` | Company / keyword autocomplete suggestions | Works across **25 Indeed country sites** (US, UK, Canada, Australia, India, Germany, France, and more). --- ### Use cases - **AI job-search assistants** — let an agent find and compare live openings for a user. - **Recruiting research** — pull candidate-facing listings, salaries and company signals on demand. - **Salary benchmarking** — ask your agent to gather salary ranges for a role across cities. - **Workflow automation (n8n / Make)** — trigger Indeed lookups inside no-code automations. - **Classic scraping** — run it without MCP to dump a job dataset for a query. --- ### Connect it to your AI agent 1. Start this Actor in **Standby mode** (it runs as a persistent server). 2. Point your MCP client at the Standby URL with the `/mcp` path: ```` https:///mcp ``` 3. Add your Apify API token as a header: ``` Authorization: Bearer \ ```` #### Claude Desktop example ```json { "mcpServers": { "indeed": { "url": "https:///mcp", "headers": { "Authorization": "Bearer " } } } } ```` Then just ask: *"Find remote senior Python jobs on Indeed and list their salaries and apply links."* *** ### Example tool call `search_indeed_jobs`: ```json { "query": "software engineer", "location": "Remote", "country": "us", "limit": 20, "sort": "date" } ``` Returns: ```json { "query": "software engineer", "country": "us", "count": 20, "results": [ { "jobkey": "abc123", "title": "Senior Software Engineer", "company": "Acme Corp", "location_city": "Remote", "salary_min": 140000, "salary_max": 180000, "salary_currency": "USD", "salary_period": "YEARLY", "job_types": ["Full-time"], "company_rating": 4.1, "snippet": "We are hiring a senior engineer to ...", "url": "https://www.indeed.com/viewjob?jk=abc123" } ] } ``` *** ### Classic scraper mode Run the Actor normally (not Standby) with an input like: ```json { "query": "data analyst", "location": "London", "country": "uk", "limit": 100, "fetchDetails": true } ``` It searches Indeed and pushes normalized job rows to the dataset. *** ### Output fields Each job includes: `jobkey`, `title`, `company`, `company_rating`, `location_city`, `location_state`, `location_postal`, `salary_min`, `salary_max`, `salary_currency`, `salary_period`, `job_types`, `snippet`, `description`, `is_remote`, `apply_url`, `url`, `pub_date`, `create_date`, `scraped_at`, and more. *** ### Reliability & proxies Indeed is protected by Cloudflare. For dependable results, run with **Apify Residential proxies** (the default). Anonymous access is best for the first result page per query — broaden coverage by varying the query, location and filters rather than deep pagination. *** ### Notes - This Actor returns publicly visible job-listing data. Respect Indeed's Terms of Service and applicable law; use the data responsibly. - Not affiliated with or endorsed by Indeed. ### FAQ **Do I need to write code?** No. In MCP mode your AI agent calls the tools directly. **Which countries are supported?** 25 Indeed country sites, selectable per call/run. **Can it get full descriptions and exact salaries?** Yes — use `get_indeed_job` (MCP) or `fetchDetails: true` (classic mode). **Can I use it without MCP?** Yes — run it as a normal scraper with a `query`. # Actor input Schema ## `query` (type: `string`): Job title or keywords to search on Indeed. Required only for classic (non-MCP) scraping runs. ## `location` (type: `string`): City, state, ZIP or 'Remote'. Leave empty for nationwide results. ## `country` (type: `string`): Indeed country site to search. ## `limit` (type: `integer`): Maximum number of jobs to retrieve in a classic run. ## `fetchDetails` (type: `boolean`): Enrich each job with the full description, precise salary and address (slower, more requests). ## `jobType` (type: `string`): Filter by employment type. ## `maxAgeDays` (type: `integer`): Only include jobs posted within this many days. ## `sort` (type: `string`): How to sort results. ## `proxyConfiguration` (type: `object`): Indeed is protected by Cloudflare — Apify Residential proxies are strongly recommended for reliable results. ## Actor input object example ```json { "query": "software engineer", "location": "New York, NY", "country": "us", "limit": 50, "fetchDetails": false, "jobType": "", "sort": "relevance", "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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/indeed-mcp-server").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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("axlymxp/indeed-mcp-server").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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call axlymxp/indeed-mcp-server --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/indeed-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed MCP Server", "description": "MCP server + scraper for Indeed jobs. Let Claude, ChatGPT, Cursor and n8n search jobs, fetch full listings and autocomplete locations live via Model Context Protocol — or run it as a classic Indeed scraper. Pay per tool call.", "version": "1.0", "x-build-id": "5cJPdg2IJ49aA10zf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~indeed-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-indeed-mcp-server", "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/axlymxp~indeed-mcp-server/runs": { "post": { "operationId": "runs-sync-axlymxp-indeed-mcp-server", "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/axlymxp~indeed-mcp-server/run-sync": { "post": { "operationId": "run-sync-axlymxp-indeed-mcp-server", "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": { "query": { "title": "Search Keywords", "type": "string", "description": "Job title or keywords to search on Indeed. Required only for classic (non-MCP) scraping runs." }, "location": { "title": "Location", "type": "string", "description": "City, state, ZIP or 'Remote'. Leave empty for nationwide results." }, "country": { "title": "Country", "enum": [ "us", "uk", "ca", "au", "ie", "in", "de", "fr", "es", "it", "nl", "be", "at", "ch", "se", "pl", "br", "mx", "sg", "my", "ph", "za", "nz", "jp", "ae" ], "type": "string", "description": "Indeed country site to search.", "default": "us" }, "limit": { "title": "Maximum Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of jobs to retrieve in a classic run.", "default": 50 }, "fetchDetails": { "title": "Fetch Full Details", "type": "boolean", "description": "Enrich each job with the full description, precise salary and address (slower, more requests).", "default": false }, "jobType": { "title": "Job Type", "enum": [ "", "fulltime", "parttime", "contract", "temporary", "internship" ], "type": "string", "description": "Filter by employment type.", "default": "" }, "maxAgeDays": { "title": "Max Age (days)", "minimum": 1, "maximum": 60, "type": "integer", "description": "Only include jobs posted within this many days." }, "sort": { "title": "Sort Order", "enum": [ "relevance", "date" ], "type": "string", "description": "How to sort results.", "default": "relevance" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Indeed is protected by Cloudflare — Apify Residential proxies are strongly recommended for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```