Website Contact & Email Scraper
Turn a list of company websites into contacts. For each site, extract public emails, phone numbers, LinkedIn, Twitter, Facebook and Instagram profiles and the business address. Perfect for enriching lead lists. Export to JSON, CSV or Excel.
{ "website": "https://github.com", "domain": "github.com", "companyName": "GitHub", "description": "Join the world's most widely adopted, AI-power…", "emails": [], "phones": [], "linkedin": "https://www.linkedin.com/company/github", "twitter": "https://x.com/github", "instagram": "https://www.instagram.com/github" }
每次运行都返回干净、带类型的记录，可直接用于你的 CRM、表格或数据库。
- 每个结果对应一条干净记录，已去重并规范化
- JSON、CSV 或 Excel 的稳定结构，也可通过 Apify API 读取
- 在云端按用量付费，无需安装或维护
一条真实的示例记录，正是你收到的结构。
| Website | Domain | Company Name | Description |
|---|---|---|---|
| https://github.com | github.com | GitHub | Join the world's most widely adop… |
| https://apify.com | apify.com | Apify | Thousands of tools to automate yo… |
{ "website": "https://github.com", "domain": "github.com", "companyName": "GitHub", "description": "Join the world's most widely adopted, AI-power…", "emails": [], "phones": [], "linkedin": "https://www.linkedin.com/company/github", "twitter": "https://x.com/github", "instagram": "https://www.instagram.com/github" }
常见问题
Which pages does it read?
The homepage plus a few likely contact pages it finds by following links whose text or address mentions contact, about, team, impressum or similar, along with common paths like `/contact` and `/about`.
How are emails cleaned up?
Results are de-duplicated and obvious non-contacts (placeholder, example and asset-file addresses) are removed, so you get real, usable emails.
Why are some fields empty?
Some companies simply do not publish an email, phone or address on their public site. Empty fields mean nothing matching was found on the pages that were read.
Can I enrich hundreds of domains?
Yes. Paste your full list of websites and set Max Items accordingly; each website returns one record.