
IIMJobs Jobs Scraper (Apify) - India MBA, finance & management jobs
io.github.datadmon由 GitHub 帳號 datadmon 發布v1.0.2更新於 Nov 6, 2026
IIMJobs MBA/finance jobs JSON, full JD. $2/1k + $0.001/run. Apify Bearer token required.
發布方自己的服務:Finance Foundation
概覽
託管於 Apify 的 MCP 端點,讓助理以 JSON 取得 IIMJobs 印度 MBA、金融與管理類職缺列表及完整職缺描述。
- 可以做什麼
- 透過 Apify 執行 IIMJobs 擷取器,蒐集印度 MBA、金融、顧問與管理類職缺。
- 取得含完整職缺描述的列表,以及職稱、公司、地點、應徵人數、刊登時間與連結等欄位。
- 依需求回傳 JSON,或選擇欄位輸出 CSV、XLSX、XML、RSS 等格式。
- 啟動耗時較長的任務並輪詢結果,或設定排程只取得新增職缺。
- 適用情境
- 適合需要助理蒐集或持續追蹤印度 MBA、金融與管理類徵才資訊的情境,例如就業市場研究、人才搜尋或每日新增職缺通知,不必自行撰寫擷取程式。
- 執行需求
- 遠端 MCP 端點 mcp.apify.com,需要網路連線。需要 Apify 帳號,並以 Authorization Bearer 標頭或 OAuth 提供 Apify API 權杖。依筆數計費,費用由 Apify 帳號負擔。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 IIMJobs Jobs Scraper (Apify) - India MBA, finance & management jobs,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.datadmon%2Fiimjobs-jobs-scraper/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"iimjobs-jobs-scraper-apify-india-mba-fin": {
"type": "http",
"url": "https://mcp.apify.com/?tools=data_daemon/iimjobs-jobs-scraper"
}
}
}README
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)
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.
- Add
&format=csv&fields=title,company.name,locations,applicants,postedAt,urlfor a CSV with chosen columns (alsoxlsx,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, pollGET /v2/actor-runs/{runId}, then readGET /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 torun-sync-get-dataset-items→ Google Sheets append or update (matched on jobid, 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 headerAuthorization: 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.
來源:README.md,提交 ed40d9b
工具
0版本歷史
2- v1.0.2最新Nov 6, 2026
- v1.0.1Oct 21, 2026
評分
已滿足適用檢查項的 75%
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- 近 30 天內可連通必需25 分
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- 已列出工具15 分
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請在儲存庫或註冊中心條目中宣告授權條款。
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