40 Apify public-data tools for leads, news, SEO, jobs, SEC, procurement, and registries.
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io.github.jlucasmcrell/apify-scrapers is an MCP server that 40 Apify public-data tools for leads, news, SEO, jobs, SEC, procurement, and registries. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 87/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"apify-data-scrapers": {
"env": {
"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
},
"args": [
"apify-data-scrapers"
],
"command": "uvx"
}
}
}Are you the author?
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40 Apify public-data tools for leads, news, SEO, jobs, SEC, procurement, and registries.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y 'apify-client' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked apify-client against OSV.dev.
Click any tool to inspect its schema.
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mcp-name: io.github.jlucasmcrell/apify-scrapers
One MCP server gives an AI agent 43 production data extractors - Google Maps business leads, Google News, Google Autocomplete, LinkedIn and Glassdoor jobs, SEC EDGAR, USAspending, Grants.gov, TED tenders, NHTSA recalls, FEC, EPA, ClinicalTrials.gov, openFDA, Europe PMC, GLEIF, CMS providers, Census geocoding, state business registries, contractor licences, Airbnb, YouTube, Twitch, Google Play, App Store search and charts, Apple Podcasts, Shopify product catalogs, Substack newsletters and company career boards (Greenhouse, Lever, Ashby) - each running as an Actor on your own Apify account. Install with
uvx apify-data-scrapers (Claude Desktop, Cursor, any MCP client), or call the same Actors directly from Python, Node.js or no-code tools.
Each actor is built with strict schema validation, deterministic field mapping, self-healing DOM selectors, and pay-per-event pricing (per-result rates from $0.00015, Actor-start from $0.0005; the live Apify Store price is authoritative).
Since version 1.1.0, calls return {results, status, run?} in both MCP structured content and text. Status is success, partial, empty_unverified, or error; errors include a stable code and retry guidance. Zero rows are not proof that no matching records exist. Existing integrations that parsed a bare result array must now read results. Native dataset field names are preserved.
Each call requests a 120-second Actor timeout and a pay-per-event charge cap of $1 by default. Set APIFY_MAX_CHARGE_USD to adjust the cap. This is per run, not a total account spending limit; platform fees outside Actor event charges may still apply. Up to four calls may run concurrently. Cancelling a request attempts to abort its cloud run; check the returned run ID if confirmation fails. An ambiguous start is never retried automatically.
The MCP executable is Python; Node.js files are direct Actor API examples, not a second MCP server. Private queued Actors are omitted from this public catalog.
Choose a focused tool profile and generate your installation configuration.
Version 1.2.0 adds the