
Luma Events Scraper (Apify) - lu.ma events by city, category or calendar
io.github.datadmon由 GitHub 账号 datadmon 发布v1.0.1更新于 Oct 27, 2026
Luma (lu.ma) events as JSON by city, category or calendar: date, venue, hosts, tickets. $1.50/1k
发布方自己的服务:Events.Aero
概览
托管在 Apify 上的 MCP 服务器,按城市、类别、关键词或日历抓取 lu.ma 活动,并以结构化 JSON 返回。
- 可以做什么
- 通过 Apify 的 MCP 端点运行 Luma Events Scraper,按城市、类别、关键词或日历采集 lu.ma 活动。
- 获取包含日期、场地、主办方和票务信息的活动记录,格式为 JSON。
- 按返回的活动记录计费,计算资源已包含在内。
- 适用场景
- 适合让助手收集某个城市、主题或特定日历下的公开 lu.ma 活动列表,并以结构化数据形式使用,例如活动汇总、调研或名单整理。
- 运行要求
- 需要远程 MCP 端点 mcp.apify.com,并在连接地址中指定该 actor。必须认证:以 Authorization Bearer 头提供 Apify API 令牌,或使用 OAuth。需要 Apify 账号,费用计入该账号。
安装
在 SourceWeft 中
- 打开 控制台中的 Luma Events Scraper (Apify) - lu.ma events by city, category or calendar,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%2Fluma-events-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": {
"luma-events-scraper-apify-lu-ma-events-b": {
"type": "http",
"url": "https://mcp.apify.com/?tools=data_daemon/luma-events-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).
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 d96267e
工具
0版本历史
1- v1.0.1最新Oct 21, 2026
评分
已满足适用检查项的 75%
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