India Jobs MCP (Apify) - ten Indian boards for AI agents

Daemon Data - Apify actor examples

Ready-to-run Python, Node.js, curl and n8n examples for the Daemon Data pay-per-result data actors on Apify, plus an AGENTS.md and a Claude/agent skill that describe every actor (id, when to use it, input, output fields) for AI agents and coding assistants.

Every actor reads a site's own JSON endpoints, so runs take seconds, need no proxy or login, and you pay per record returned (compute is included).

India Jobs MCP client setup

India Jobs MCP gives agents five tools across ten Indian boards. Use the tested Claude Desktop/Code, Cursor and Gemini CLI configs, including Bearer-header setup and a discovery-only connection check. Board searches charge your own Apify account.

Actors

Guides and a page per API with live prices: https://datadmon.github.io/ (machine-readable index: https://datadmon.github.io/llms.txt).

The hex id and data_daemon/<name> are interchangeable everywhere in the Apify API (write the name as data_daemon~<name> inside URLs).

Ready-to-fork templates (GitHub Actions)

Complete tools you copy with Use this template, add an APIFY_TOKEN secret, and leave running:

Quick start (SDK)

pip install apify-client        # or: npm i apify-clientexport APIFY_TOKEN=...          # https://console.apify.com/settings/integrationspython python/india-ipo-tracker.pynode node/iimjobs-jobs-scraper.mjs

REST: one call in, data out

run-sync-get-dataset-items starts the actor, waits (up to 300 s) and returns the dataset items in the response. No SDK needed.

curl -sS -X POST "https://api.apify.com/v2/acts/data_daemon~iimjobs-jobs-scraper/run-sync-get-dataset-items?clean=1" \  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \  -d '{"queries":["product manager"],"locations":["Bangalore","Mumbai"],"postedWithinDays":7,"maxJobsPerQuery":50}'

• Add &format=csv&fields=title,company.name,locations,applicants,postedAt,url for a CSV with chosen columns (also xlsx, xml, rss).
• For runs that can exceed 300 s (full-board exports, thousands of Oracle requisitions) start the run with POST /v2/acts/{id}/runs, poll GET /v2/actor-runs/{runId}, then read GET /v2/datasets/{datasetId}/items.
• Working versions of both patterns, for every actor: examples/run-sync/curl.sh, run_sync.py (stdlib only), run_sync.mjs (Node 18+, no dependencies).

Schedule it: only new jobs, every morning

examples/only-new-jobs/ is a daily loop for IIMJobs, Hirist, Foundit and Instahyre that returns each job once. It reads the actor's live input schema and uses onlyNewSinceLastRun (actor-side memory in your own Apify account, skipped jobs are not charged) or skipJobIds when the build offers them, and always keeps a local seen-ids file as a safety net. Python and Node versions, cron and GitHub Actions snippets included.

No-code alternative: in Apify Console, fill the input, Save as task, Schedules → Create schedule (daily), then in the task's Integrations tab add Google Sheets, Slack, a webhook, Make or Zapier.

n8n

• n8n/iimjobs-new-jobs-to-google-sheets-and-slack.json: Schedule (08:00 daily) → HTTP Request to run-sync-get-dataset-items → Google Sheets append or update (matched on job id, so re-runs never duplicate rows) → one Slack message with the count. Uses only built-in n8n nodes.
• n8n/<actor>.json: the same schedule → HTTP Request → Google Sheets append pattern for every actor.

Import with Workflows → Import from file, then create two credentials: Header Auth (name Authorization, value Bearer <your Apify token>) for the HTTP Request node, and your Google Sheets (and Slack) account. Replace the sheet URL in the Google Sheets node.

AI agents and MCP

• AGENTS.md: every actor's id, when to use it (and when not to), a verified input example, output fields and list price, plus the REST/MCP/CLI call patterns and cost-sizing rules. Drop it into your agent's context or repository.
• skills/daemon-data-apify-actors/SKILL.md: the same catalog as a skill with frontmatter, for Claude Code, Codex and other skill-aware assistants.
• MCP: add https://mcp.apify.com?tools=data_daemon/iimjobs-jobs-scraper,data_daemon/india-ipo-tracker (any list of our actor names) to your MCP client, with header Authorization: Bearer <APIFY_TOKEN> or OAuth. Docs: https://docs.apify.com/platform/integrations/mcp

Pricing (list prices, October 2026)

Pay per event; platform compute is included. The actor page shows the price for your Apify plan.

Apify's free plan includes $5 of usage a month, enough to try every example here. Cap test runs with maxJobs / maxItems.

Support

Bug or missing field? Open an issue on the actor's Issues tab on Apify (fastest) or here. A quick review on the actor page helps other users find it.

MIT licensed. Not affiliated with IIMJobs, Hirist, foundit, Instahyre, Oracle, Tickertape, Chittorgarh, InvestorGain, the Dubai Land Department, The Gazette or Luma.