
Scrapercity Cli
io.github.scrapercity由 GitHub 账号 scrapercity 发布v1.0.1更新于 Oct 27, 2026
B2B lead generation MCP server - 20+ scrapers, email finder, skip trace, and more.
概览
ScraperCity MCP 服务器,让助手运行 B2B 线索采集、查找并验证邮箱和手机号,并把结果下载为 CSV。
- 可以做什么
- 运行采集器,获取 B2B 联系人、本地商家、电商店铺、房产与平台房源数据
- 查找企业邮箱和手机号,并验证邮箱可送达性
- 按姓名、邮箱、电话或地址做人员追踪,并查询犯罪记录
- 查询采集任务状态、轮询运行进度并下载完成的 CSV 结果
- 在符合条件的套餐下查询线索库和本地商家数据库
- 适用场景
- 适合让助手构建潜在客户或联系人名单、为线索补充邮箱和电话,或从多个来源汇总商家与房产数据,而无需自己编写 API 调用。适用于接受异步任务和按结果计费的销售、招聘与调研场景。
- 运行要求
- 通过 npm 包 scrapercity 以 npx 在本地运行,需要 Node.js。需要 ScraperCity 账号,并通过环境变量 SCRAPERCITY_API_KEY 提供 API 密钥(也可用 CLI 登录命令保存)。需要访问 ScraperCity API 的网络;部分数据库工具需付费套餐。
安装
在 SourceWeft 中
- 打开 控制台中的 Scrapercity Cli,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
ScraperCity - B2B Lead Generation for AI Agents
Pull leads, validate emails, find mobile numbers, and scrape business data - all from your AI agent, CLI, or code. One package: the MCP server, the CLI and the JavaScript SDK. The Python SDK is pip install scrapercity.
ScraperCity gives AI agents access to 15+ B2B data tools: Apollo scraping, Google Maps extraction, email finding/validation, mobile number lookup, skip tracing, ecommerce store data, criminal records, and more.
Quick Start
Option 1: CLI
Option 2: MCP Server (Claude Code, Cursor, Windsurf, etc.)
Add to your MCP config (e.g. ~/.claude/claude_desktop_config.json):
Then tell your AI: "Find 1000 plumbers in Denver with emails using ScraperCity"
Option 3: Skill File (Claude Code)
Copy the skill file into your project:
Or download from: https://scrapercity.com/agents/SKILL.md
Then in Claude Code: "Read SCRAPERCITY_SKILL.md and find me 2000 marketing directors at SaaS companies in California, validate their emails, and save to leads.csv"
Option 4: Direct API
Option 5: JavaScript SDK
Option 6: Python SDK
Both SDKs carry the same tool list as the MCP server, regenerated from the live API docs on every release. Guide: scrapercity.com/sdk. Python package: pypi.org/project/scrapercity.
Pricing (auto-generated from the live catalog — do not edit)
Available Tools
How It Works
- Start a scrape → get a
runId - Poll status (or use webhooks) → wait for
SUCCEEDED - Download CSV → leads with full contact info
Apollo scrapes usually take 15-30 minutes. All other scrapers: 1-30 minutes. Store leads are instant.
Authentication
Get your API key at app.scrapercity.com/dashboard/api-docs
Webhooks
For Apollo and long-running scrapes, configure a webhook at app.scrapercity.com/dashboard/webhooks to get notified when results are ready.
Plans
Buy additional credits anytime. scrapercity.com/pricing
Links
- Agent Docs - setup guide
- API Reference - full documentation
- SDK guide - JavaScript and Python SDKs
- Python SDK on PyPI -
pip install scrapercity - Skill File - for Claude Code
- MCP Server Listing - configuration
License
MIT
来源:README.md,提交 a17dffa
工具
0版本历史
1- v1.0.1最新Sep 16, 2026
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