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scrapeunblocker-mcp-remote

Scrape Indeed job listings

indeed_jobs
Read-only

Searches Indeed for query in location and returns the job listings as JSON: title, company, location, salary (with parsed min/max), jobTypes, companyRating, a snippet, datePosted (YYYY-MM-DD), sponsored (Indeed's paid placement) and a clean job url. Filter with country, job_type, days (posting age), remote, sort with sort (date returns the collected jobs newest first, sponsored ones included), and collect up to max_results across pages. Indeed sits behind Cloudflare + PerimeterX - handled for you. Returns JSON. Billed like an API request; listing plugins bill one unit per result page they fetch, so keep max_results modest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoMax posting age in days: 1, 3, 7, 14.
sortNoOrdering: relevance, date. Default: relevance.
queryYesWhat to search, e.g. 'software engineer' or 'nurse'.
startNo0-based result offset to start from. Default: 0.
radiusNoSearch radius in miles/km around the location.
remoteNoOnly remote jobs. Default: false.
countryNoIndeed country site: us, uk, ca, au, in, ie, de, fr, nl, es, it, at, ch, be, pl, se, sg, za, nz, mx. Default: us.
job_typeNoJob type: fulltime, parttime, contract, internship, temporary.
locationNoWhere, e.g. 'Austin, TX' or 'London'.
max_resultsNoHow many jobs to collect across pages. Default: 30.
proxy_countryNoProxy country the request is sent from (ISO-2, e.g. 'US', 'DE'). Defaults to the country's site.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only cover the safety profile (readOnly/openWorld/non-destructive), and the description adds substantially more: Cloudflare + PerimeterX anti-bot handling, that sponsored placements appear in results, and the billing model (per result page fetched, billed like an API request). The cost/cadence disclosure is exactly the kind of behavior annotations cannot express.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single dense, front-loaded paragraph with no filler sentences; outputs are listed before filter/sort guidance. The run-on style and stacked parentheticals make it slightly harder to scan than a bulleted alternative, but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 11 parameters and no output schema, the description carries the return-shape burden and does so by naming every returned field, plus discloses cost, anti-bot handling, and pagination behavior. Nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already defines every parameter; baseline would be 3. The description still adds meaning beyond the schema by glossing `days` as posting age, explaining that sort='date' returns collected jobs newest-first with sponsored included, and noting max_results spans pages.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Opens with a specific verb+resource ('Searches Indeed for `query` in `location`') and enumerates the returned fields, so the agent immediately knows what comes back. No sibling tool covers job listings, so it is unambiguously the right pick among the search scrapers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete guidance on how to narrow results (country, job_type, days, remote) and ordering (sort), plus a cost-motivated caution to keep max_results modest. It lacks explicit when-not-to-use or alternative-tool routing, but there is no competing sibling for this resource.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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