
India New Company Registrations (Apify) - daily MCA incorporations
io.github.datadmon由 GitHub 帳號 datadmon 發布v1.0.1更新於 Nov 11, 2026
New Indian companies (MCA) as JSON daily: CIN, type, state, activity, capital, address. $3/1k
發布方自己的服務:daily.dev
概覽
託管於 Apify 的 MCP 伺服器,以結構化 JSON 回傳 MCA 登記庫中印度新設公司的資料。
- 可以做什麼
- 取得 MCA 登記庫中的印度新設公司,包含 CIN、公司類型、登記處、邦、NIC 行業、資本與註冊地址
- 呼叫此端點背後的 Apify actor,並以 JSON、CSV、XLSX、XML 或 RSS 讀取資料集項目
- 在同一個 Apify MCP 連線中列出多個 actor 名稱,與其他 Daemon Data actor 搭配使用
- 適用情境
- 適合需要最新印度公司設立資料的情境,例如潛在客戶名單、市場研究、法遵篩查,或依邦與行業監測新成立企業。
- 執行需求
- 遠端 MCP 端點 mcp.apify.com,需透過 Authorization 標頭以 Bearer 方式提供 Apify API 權杖;執行按筆計費,因此需要仍有額度的 Apify 帳號。要使用的 actor 在連線網址中選擇。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 India New Company Registrations (Apify) - daily MCA incorporations,將其新增到工作區。
- 連接 Authorization token 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-new-company-registrations/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。
{
"mcpServers": {
"india-new-company-registrations-apify-da": {
"type": "http",
"url": "https://mcp.apify.com/?tools=data_daemon/india-new-company-registrations",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}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 7ee0d4a
工具
0版本歷史
1- v1.0.1最新Nov 11, 2026
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