
India Jobs Feed (Apify) - 10 Indian job boards in one search
io.github.datadmon由 GitHub 帳號 datadmon 發布v1.0.1更新於 Nov 6, 2026
10 Indian job boards incl. Naukri in one JSON feed: salary in LPA, skills, deduped. Board prices
發布方自己的服務:Apify MCP Server
概覽
託管於 Apify 的 MCP 伺服器,讓助理一次搜尋十個印度求職網站,回傳去重後的職缺資料,薪資以 LPA 表示。
- 可以做什麼
- 一次查詢即可跨十個印度求職網站(Naukri、IIMJobs、Hirist、foundit、Instahyre、Shine、Cutshort、Apna、WorkIndia、Unstop)搜尋職缺
- 以統一欄位回傳職缺紀錄,包含 LPA 薪資、技能要求與完整職缺說明
- 將跨網站的重复職缺合併為單筆結果
- 透過服務方的 Apify actor 執行搜尋,依回傳筆數計費
- 適用情境
- 適合需要跨多個印度求職網站查找或比較職缺的情境,例如求職、招募研究,或了解某類職務與薪資行情,而不必逐一查詢各網站。
- 執行需求
- 遠端 MCP 端點 mcp.apify.com,需在連線網址中指定 actor 名稱。需要 Apify 帳號,並透過 Authorization 標頭提供 Apify API 權杖(Bearer 形式),或使用 OAuth。需要能連線至 Apify 的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 India Jobs Feed (Apify) - 10 Indian job boards in one search,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%2Findia-jobs-feed/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": {
"india-jobs-feed-apify-10-indian-job-boar": {
"type": "http",
"url": "https://mcp.apify.com/?tools=data_daemon/india-jobs-feed"
}
}
}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
1- v1.0.1最新Nov 6, 2026
評分
已滿足適用檢查項的 75%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通必需25 分
- 已宣告認證方式必需10 分
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分
請在儲存庫或註冊中心條目中宣告授權條款。
其他 Apify 整合
Apify MCP Server
com.apify官方發布者
託管式 Apify MCP 伺服器,讓助理在 Apify Store 中尋找、執行數千個擷取、爬蟲與自動化 Actor,並讀取結果。
Video Frame Extractor (Apify actor)
dev.pages.video-frames-to-images
由 Apify 託管的 MCP 伺服器,讓助理從影片檔案 URL 擷取影格並輸出為圖片,費用計入你自己的 Apify 帳戶。
Broken Link Checker (Apify actor)
dev.pages.check-broken-links
透過 Apify 的 MCP 伺服器提供的 Apify actor,用來找出單一頁面或小型網站上的失效連結。

Naukri Jobs Scraper (Apify) - Naukri.com jobs with salary in LPA
由 GitHub 帳號 datadmon 發布
託管於 Apify 的 MCP 服務,串接 Naukri Jobs Scraper,讓助理取得 Naukri.com 職缺資料,包含以 LPA 計的薪資、技能、應徵人數與完整描述。

India Jobs MCP (Apify) - ten Indian boards for AI agents
由 GitHub 帳號 datadmon 發布
託管於 Apify 的遠端 MCP 伺服器,讓助理透過五個工具搜尋十個印度求職網站,費用計入你自己的 Apify 帳戶。