
Unstop Scraper (Apify) - jobs, internships, hackathons and competitions
io.github.datadmon由 GitHub 账号 datadmon 发布v1.0.1更新于 Nov 11, 2026
Unstop jobs, internships, hackathons & competitions as JSON: stipend, prizes, deadlines. $1.50/1k
发布方自己的服务:Apify MCP Server
概览
托管在 Apify 上的 MCP 端点,让助手以结构化 JSON 获取 Unstop 的职位、实习、黑客松和竞赛信息,含津贴、奖金与截止日期。
- 可以做什么
- 以结构化记录获取 Unstop 上的职位、实习、黑客松与竞赛条目
- 取得每条信息的薪资或津贴、奖金、截止日期与资格要求字段
- 通过托管 MCP 端点按需运行背后的 Apify actor
- 以数据集条目形式返回结果,便于导出或接入其他工具
- 适用场景
- 适合让助手集中收集 Unstop 上的机会(学生实习、黑客松、竞赛或职位),并按津贴、奖金或截止日期进行比较,而无需手动浏览网站。
- 运行要求
- 需要连接 Apify 的远程 MCP 端点,并通过 Authorization 请求头以 Bearer 方式提供 Apify API 令牌(也可用 OAuth)。需要 Apify 账户及可用额度,因为运行费用计入该账户。
安装
在 SourceWeft 中
- 打开 控制台中的 Unstop Scraper (Apify) - jobs, internships, hackathons and competitions,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.datadmon%2Funstop-scraper/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"unstop-scraper-apify-jobs-internships-ha": {
"type": "http",
"url": "https://mcp.apify.com/?tools=data_daemon/unstop-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.
来源:README.md,提交 7ee0d4a
工具
0版本历史
1- v1.0.1最新Nov 11, 2026
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