--- title: "Indeed MCP: Job Listings for Your AI Agent | Scrape.ly" description: "An Indeed MCP setup for Claude, ChatGPT and Cursor with no Indeed login: public jobs, pay, employer ratings and descriptions. Real run, tool calls, costs." url: https://scrape.ly/blog/indeed-mcp markdown: https://scrape.ly/blog/indeed-mcp.md --- [AI agents](https://scrape.ly/blog/category/ai-agents.md) # Indeed MCP: Job Listings for Your AI Agent, in Any MCP Client Indeed's own MCP server works only as a Claude connector and asks for your Indeed login. Scrape.ly's hosted MCP server gives Claude, ChatGPT, Cursor or any MCP client public Indeed jobs with pay, employer ratings and full descriptions. Setup, tool calls, a real run and costs. [Scrape.ly Team The team behind Scrape.ly](https://scrape.ly/blog/author/scrapely-team.md) - Published Oct 26, 2026 - Reading time 8 min read ![Pixel-art robot with an orange >\_ on its terminal head carries a cable from a cork job board topped with the blue Indeed logo and pinned with job cards into a server rack labelled MCP](https://scrape.ly/media/indeed-mcp.png?w=1080) An Indeed MCP server is a Model Context Protocol server that lets an AI agent such as Claude, ChatGPT or Cursor search Indeed job listings and read them as structured data: title, employer, location, posted pay, job type, the full description and the apply link. Indeed now runs its own server for Claude users, and the best Indeed MCP setup for everything else is Scrape.ly's hosted server, because it works in any MCP client, needs no Indeed account, and returns rows your agent can count, filter and export. This guide compares the two, connects the Scrape.ly server to each client, lists the Indeed Actors an agent can call, and shows a real run from 26 October 2026: five data analyst jobs in Austin, with employer ratings and company size, in 5.0 seconds for $0.01775. It closes with the edges of Indeed data that an agent should know about before it answers. ## Indeed's own MCP server and a scraping server The first Google result for "indeed mcp" on 26 October 2026 is [Indeed's own MCP documentation](https://docs.indeed.com/mcp/). The server is "offered in beta", runs remotely over streamable HTTP, and offers four tools: Job Search, Job Detail, Get Resume, which reads "the account holder's experience from their Indeed profile to personalize results", and Get Company Data. Two lines decide whether it fits your project. It "follows the MCP Standard Protocol, but is available only for Claude Connector", and the setup steps end with "Sign in with your Indeed account for first-time use." That's a good match for a job seeker chatting in Claude. Recruiting analytics, salary research, hiring-signal lead lists and job boards need something else: any client, no personal Indeed login, and the same fields every time so the agent can compare employers or schedule a weekly pull. | | Scrape.ly MCP server | Indeed's MCP server | | -------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------- | | Clients | Any client with remote MCP: Claude, ChatGPT, Cursor, VS Code, Windsurf | "Available only for Claude Connector" | | Account | A Scrape.ly account; no Indeed login | Sign in with your Indeed account | | Status | Live Store Actors with a public success rate | "Offered in beta" | | Ways to search | Title and location on 60+ Indeed country sites, search URLs with their filters, company job pages, single job URLs | Job Search by title, keywords, location and employment type | | What you keep | Structured rows: salary text, job type, setting, level, employer rating, full description, apply link, company size and website; JSON, CSV or Excel | Results in the conversation | | Repeat jobs | Schedules and automations on the same input | Each chat request | ## How to connect the Scrape.ly MCP server The [Scrape.ly MCP server](https://scrape.ly/mcp.md) is hosted at `https://mcp.scrape.ly`. It uses MCP's streamable HTTP transport and signs you in with OAuth or a Scrape.ly API token. The free plan gives you $5 of usage every month without a card. **Claude Code.** Add the server, then run `/mcp` and choose `scrapely` to approve it: ```shell claude mcp add --transport http scrapely https://mcp.scrape.ly ``` **Claude Desktop.** Add a custom connector under **Customize → Connectors** with the URL `https://mcp.scrape.ly` and sign in. It sits next to Indeed's connector if you use both. **Cursor.** In `~/.cursor/mcp.json`, or `.cursor/mcp.json` for one project: ```json { "mcpServers": { "scrapely": { "url": "https://mcp.scrape.ly", "headers": { "Authorization": "Bearer YOUR_TOKEN" } } } } ``` Without `headers`, Cursor opens an OAuth sign-in. Tokens are under **Settings → API & Integrations**. **ChatGPT, VS Code, Windsurf and other clients.** Point them at the same URL over streamable HTTP with OAuth or a Bearer header. Scrape.ly's MCP docs have VS Code's config and a local stdio server. To show the agent only the Indeed tool, add the Actor to the URL: ```plaintext https://mcp.scrape.ly?actors=openrole/indeed-scraper ``` ## The Indeed Actors your agent can call Three Indeed Actors in the Scrape.ly Store are maintained by Scrape.ly. All read public listings without a login: | Actor | Best for | Input | Price per 1,000 jobs | | ----------------------------------------------------------------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------- | -------------------- | | [Indeed Scraper](https://scrape.ly/store/openrole/indeed-scraper.md) | Rich rows for analysis | Position and location on a country site, search URLs, company job pages, job URLs; optional company details | $3.55 | | [Indeed Jobs Scraper Full](https://scrape.ly/store/openrole/indeed-jobs-ppr.md) | Filtered keyword searches | Keyword, location, posted within 1, 3, 7 or 14 days, job type, level, remote or hybrid, radius | $3.12 | | [Indeed Jobs Scraper Lite](https://scrape.ly/store/openrole/indeed-jobs-scraper.md) | Large, cheap counts | Job title and location, or search URLs; date window | $0.025 | Prices are pay per result with platform usage included, as listed on each Store page on 26 October 2026. The Indeed Scraper returns the title, employer and its Indeed page, location, salary exactly as Indeed prints it, job type, workplace setting, experience level, employer rating and review count, posting date, plain and HTML descriptions and the external apply link. With `parseCompanyDetails` on, it adds the company's website, description, logo and employee range from the same response, without an extra request. The [Indeed scrapers](https://scrape.ly/scrapers/indeed.md) page compares all three with sample output. ## What the agent does: four tool calls 1. **`search-actors`** with "indeed" returns the three Actors with their prices and input fields. 2. **`fetch-actor-details`** reads the chosen Actor's schema and README, so the agent knows it needs `position`, `location` and `country`, and that `maxItemsPerSearch` sets the size. 3. **`call-actor`** starts the run and waits up to 45 seconds. A 10-job search typically finishes in several seconds to about 15, per the README, so it usually comes back done. 4. **`get-actor-output`** reads the rows, keeping only the fields the agent asks for. Job descriptions run to thousands of characters, so leaving them out of the first read keeps the context lean. ## A real run: data analyst jobs in Austin The prompt: "Use scrapely to find five data analyst jobs in Austin, TX on Indeed, with pay, job type, experience level, the employer's rating and company size." The agent's `call-actor` request: ```json { "actor": "openrole/indeed-scraper", "input": { "position": "data analyst", "location": "Austin, TX", "country": "US", "maxItemsPerSearch": 5, "parseCompanyDetails": true }, "waitSecs": 45, "callOptions": { "maxTotalChargeUsd": 0.05 } } ``` Our run finished in 5.0 seconds with "Saved 5 jobs from 1 searches." It then read `positionName,company,salary,jobType,jobSetting,experienceLevel,rating,reviewsCount,postingDateParsed,companyInfo.companySize`: | Title | Employer | Pay | Type, setting | Level | Employer rating | Posted | | ---------------------------------------- | --------------------------------------- | ------------------------ | ---------------------- | ------------ | -------------------- | ---------- | | Data Analyst | An employer with no Indeed company page | not listed | not listed | Entry level | none (0 reviews) | 2026-10-13 | | Data Analyst | Apple | not listed | not listed | Mid-level | 4.1 (14,247 reviews) | 2026-08-27 | | Data Analyst Strategy and Operations | Ericsson | not listed | Hybrid work, in-person | Mid-level | 4.1 (7,261 reviews) | 2026-10-17 | | Data Analyst IV | Texas Department of Transportation | $94,000 - $96,000 a year | Full-time, office | Senior level | 3.8 (673 reviews) | 2026-10-14 | | Analyst, Institutional Research (Hourly) | Austin Community College | $43 an hour | Part-time, office | Mid-level | 4.2 (410 reviews) | 2026-10-16 | Company details filled in for the four employers with an Indeed page: Apple and the Texas Department of Transportation at 10,000 or more employees, Ericsson at 5,001 to 10,000, and Austin Community College at 1,001 to 5,000, each with its website. Three things in this sample are worth building into the agent's instructions. Only two of five listings posted pay, and both were public employers; the agent should report "not listed" rather than guess. The first result came from an employer with no Indeed company page, no rating and no company details, the kind of listing worth flagging for a human check. And the Apple listing was two months old, so for "posted this week" the agent should add Indeed's date filter through a search URL or switch to the Full Actor's `fromDays`. Cost: 5 × $0.00355 = $0.01775 at list price, platform usage included. Our account was billed $0.0142 after its plan's Store discount. ## Prompts that work well Tell the agent which Actor, how many jobs, and the cap: - "Use scrapely to get 100 'product manager' jobs in London on the GB site and give me the share that post a salary." - "Run openrole/indeed-scraper on https\://www\.indeed.com/cmp/Google/jobs, 50 jobs, and group them by location." - "With openrole/indeed-jobs-ppr, find remote data engineer jobs posted in the last 3 days, full-time, 25 rows." - "Compare data analyst pay in Austin, Denver and Atlanta, 30 jobs each, using only listings that state a salary." - "Stop every run at $0.25." The last line becomes `callOptions.maxTotalChargeUsd`, and the run ends when it reaches the cap. For the bigger picture of collecting job data, see our [job scraping guide](https://scrape.ly/blog/job-scraping.md). ## What to watch out for with Indeed data - **About 600 to 750 jobs per search.** Indeed stops there even when it reports more, and the run says so in its status. For a full market, split by city, filter or company URL; duplicates across searches are removed by default. - **Salary is text.** `salary` is exactly what Indeed prints, including Indeed's own estimates when it shows them. Parse ranges and units ("a year", "an hour") before you average. - **Missing fields are null, ratings 0.** A listing without a field gets `null`, and an employer with no reviews gets a rating and review count of 0, not an estimate. - **Use **__`postingDateParsed`__ **.** It holds the posting timestamp; `postedAt` is null. - **Big jobs take minutes.** About 2 to 2.5 minutes per 1,000 jobs, because each page of 100 results is its own request. Past 45 seconds the agent simply polls `get-actor-run`. - **Recruiters are people.** Job descriptions sometimes name a recruiter or include their email. Treat that as personal data, drop it if you don't need it, and keep only employer-level fields for analysis. - **Applications stay private.** The Actors read public listings only, never applications, resumes or messages. ## Spending control for agents - **Cap each run.** `maxTotalChargeUsd` bounds what a run can cost, and the run stops when it reaches it. - **Scope the key.** Create a key for the agent under **Settings → API & Integrations → API keys** with `actors:run` and `runs:read` and a daily charge limit. - **Pay ahead.** Runs draw from a prepaid balance, so a scheduled job can't turn into a surprise bill. ## Is it legal to scrape Indeed with an AI agent? The Actors read job listings that any visitor can open without logging in, and Scrape.ly Store Actors collect only publicly available data. Indeed sets its own rules for automated access in its terms and robots.txt, so check how they apply to your project, and use the data for analysis rather than republishing listings wholesale. Names and contact details of recruiters are personal data under the GDPR and the CCPA. Our guide to [scraping Indeed](https://scrape.ly/blog/scrape-indeed.md) covers this in more depth; this is not legal advice. For a REST endpoint with Python, JavaScript and cURL, see the [Indeed API](https://scrape.ly/api/indeed-api.md) page. The same server covers other job sites through their own Actors: see [LinkedIn MCP](https://scrape.ly/blog/linkedin-mcp.md) and our guide to [scraping Glassdoor](https://scrape.ly/blog/scrape-glassdoor.md). Scrape.ly Store Give your agent Indeed job listings Public Indeed jobs by title and location, or from search and company URLs: pay, job type, employer rating, full description and apply link. $3.55 per 1,000 jobs, usable from ChatGPT, Cursor and Claude alike. [Try it free](https://scrape.ly/store/openrole/indeed-scraper.md) [Browse the Store](https://scrape.ly/store.md) ## FAQ ### Does Indeed have an MCP server? Yes. Indeed offers an MCP server in beta with Job Search, Job Detail, Get Resume and Get Company Data tools. Its docs say it's available only as a Claude connector and that you sign in with your Indeed account. For other clients, or without an Indeed login, use Scrape.ly's server at `https://mcp.scrape.ly`. ### What is the Indeed MCP URL? Indeed's docs connect its server through Claude's connector directory rather than a URL you paste. Scrape.ly's server URL is `https://mcp.scrape.ly`; add `?actors=openrole/indeed-scraper` to expose only the Indeed tool. ### Can I use Indeed MCP with ChatGPT or Cursor? Indeed's own server is limited to Claude. Scrape.ly's works in ChatGPT, Cursor, VS Code, Windsurf and Claude, because any client that supports remote MCP over streamable HTTP can connect to it. ### Does it work with Claude? Yes. Add `https://mcp.scrape.ly` as a custom connector in Claude Desktop or with `claude mcp add` in Claude Code, and Claude can run the Indeed Actors and work with the results. ### How much does an Indeed MCP setup cost? The server is free. The Indeed Scraper costs $3.55 per 1,000 jobs, the Full Actor $3.12 and the Lite Actor $0.025, platform usage included. Our five-job run cost $0.01775 at list price, and the free plan includes $5 every month. ### Is there an MCP for LinkedIn or Glassdoor jobs? The Scrape.ly server reaches both through Store Actors: our [LinkedIn MCP](https://scrape.ly/blog/linkedin-mcp.md) guide shows job and company runs, and the Glassdoor scraping guide covers job listings with pay ranges and employee reviews. About the author [Scrape.ly Team](https://scrape.ly/blog/author/scrapely-team.md) The team behind Scrape.ly Scrape.ly is the web data platform from TeraShift GmbH in Switzerland, powered by Evomi: ready-made scrapers in the Scrape.ly Store, a cloud runtime, an API with JavaScript and Python SDKs, proxies, a hosted anti-bot browser and an MCP server for AI agents. - [Website](https://scrape.ly/index.md) Keep reading ## More in AI agents - [![Pixel-art robot with an orange >\_ on its terminal head feeds a Markdown file with an orange # heading into the slot of a dark box labelled LLM, next to a web page and a small stack of Markdown files](https://scrape.ly/media/website-to-markdown-for-llms.png?w=750)](https://scrape.ly/blog/website-to-markdown-for-llms.md) ### [RAG Web Scraping: How to Turn Any Website Into Markdown for LLMs](https://scrape.ly/blog/website-to-markdown-for-llms.md) [RAG web scraping turns a website into clean Markdown your model can retrieve from. A real 10-page crawl of the FastAPI docs shows why the HTML cleaner decides whether your code examples survive, plus tested chunking code, token counts and the cost per 1,000 pages.](https://scrape.ly/blog/website-to-markdown-for-llms.md) - [![Pixel-art robot with an orange >\_ on its terminal head carries a cable from a tall Google Maps pin into a server rack labelled MCP](https://scrape.ly/media/google-maps-mcp.png?w=750)](https://scrape.ly/blog/google-maps-mcp.md) ### [Google Maps MCP: Places and Reviews for Claude, ChatGPT and Cursor](https://scrape.ly/blog/google-maps-mcp.md) [A Google Maps MCP server lets your AI agent find places, ratings, opening hours and reviews right in the chat. Connect Scrape.ly's hosted server to Claude, ChatGPT or Cursor without a Google Cloud project or Maps API key, and see real tool calls, output and costs.](https://scrape.ly/blog/google-maps-mcp.md) - [![Pixel-art robot with an orange >\_ on its terminal head carries a cable from a phone showing the Instagram logo and a grid of posts into a server rack labelled MCP](https://scrape.ly/media/instagram-mcp.png?w=750)](https://scrape.ly/blog/instagram-mcp.md) ### [Instagram MCP: Give Claude, ChatGPT and Cursor Instagram Data Without a Login](https://scrape.ly/blog/instagram-mcp.md) [An Instagram MCP server lets your AI agent read public profiles, posts and reels right in the chat. Connect Scrape.ly's hosted server to Claude, ChatGPT or Cursor in a minute, with no Instagram login or Business account, and see real prompts, tool calls, output and costs.](https://scrape.ly/blog/instagram-mcp.md) ## The internet is full of data. Start owning yours. Scrape.ly gives you the infrastructure, the tooling, and the team to extract, process, and operationalize web data at any scale. Setup takes minutes. [Get Started Free](https://my.scrape.ly/register) [Chat with Support](mailto:hello@scrape.ly?subject=Question%20about%20Scrape.ly\&body=Hi%2C%20I%20have%20a%20question%20about%20Scrape.ly.) No credit card. No setup calls.