Website Contacts Scraper
Related Servers
Alternatives to Website Contacts Scraper
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceEnables agents to enrich domains into public business contact data, including MX/disposable-validated role emails, phones, social profiles, company names, and addresses, while respecting robots.txt; also normalizes URLs and emails into unique domains locally.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables autonomous B2B lead generation by discovering companies, scraping websites for contacts, decoding obfuscated emails, generating email permutations, and verifying email deliverability via MX and SMTP checks.2MIT
- AlicenseBqualityCmaintenanceEnables B2B prospecting from MCP clients by searching the web, crawling company websites, and returning published contact details such as emails, phone numbers, and social links while saving de-duplicated leads to CSV.4MIT
- AlicenseNot gradedqualityCmaintenanceEnables targeted B2B lead discovery, DNS MX deliverability verification, and extraction of web content into clean Markdown for AI agents.MIT
- AlicenseAqualityDmaintenanceFinds and verifies business email addresses using DNS/SMTP verification and web scraping, with no external API costs.522 npm12MIT
- FlicenseNot gradedqualityDmaintenanceEnables prospect research through semantic web search, webpage scraping, and batch search using multiple APIs.1-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one retrieves a website URL from a keyword, the other scrapes contacts from a given domain. No overlap or ambiguity.
Both tools follow a consistent verb_noun pattern using snake_case: get_website_by_keyword and scrape_contacts_from_website. Perfectly predictable.
With only two tools, the server is minimal but focused. For a website contacts scraper, this covers the core workflow. A few more tools (e.g., email verification) could enhance completeness, but the count is reasonable.
The tools cover the essential lifecycle: finding a website from a company name and then scraping contacts from it. There are no obvious gaps for the stated purpose of scraping emails, phones, and social profiles from root domains.