Website Email Scraper — Bulk Emails, Phones & Lead Scores

What does Website Email Scraper do?

Website Email Scraper turns a list of website URLs into outreach-ready contact records. Paste 10 or 10,000 sites — a JSON list or a raw spreadsheet column — and get one row per site: ranked emails with a confidence grade, phone numbers, social profiles and a 0-100 lead score, plus structured company data (legal name, address, VAT ID) from JSON-LD. Optional email verification adds a deliverability score and role, disposable and free-provider flags; optional payment-stack detection flags the leads that actually take money online.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 📧 Email + phone extraction — extract public emails and phone numbers from every page crawled — from mailto: / tel: links and visible text, with obfuscation (name [at] domain [dot] com) decoded and tracking / system addresses filtered out. Optionally verify each email (MX and SMTP checks) with a confidence score plus role, disposable and free-provider flags.
• 🔗 URL + social-profile extraction — capture social profiles across 11 platforms — LinkedIn, X/Twitter, Facebook, Instagram, YouTube, TikTok, GitHub, Xing, Bluesky, Threads and Mastodon.
• 🏢 Company data from JSON-LD — harvest structured company data from JSON-LD / schema.org that most scrapers ignore — legal name, postal address, VAT / registration ID, founding date and opening hours — and, optionally, named people (name, title, personal LinkedIn) from team and about pages. One outreach-ready row per website, with the best email and phone ranked first.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
• 📋 Bulk-first input — paste 10 or 10,000 websites in one run — a JSON list, or a raw spreadsheet column pasted into inputText (newline, comma or semicolon separated, bare domains and full URLs mixed). stripe.com, https://www.Stripe.com/ and STRIPE.COM collapse to one crawl, so the same site is never charged twice.
• 🎯 Graded rows, not raw dumps — every row carries a 0-100 leadScore with the signals that earned it, plus an emailConfidence grade and the primaryEmailSource the address came from — so a 10,000-site run sorts by quality instead of being eyeballed. onlyWithEmails emits (and charges for) only the sites where an email was actually found, and qualifyByPayment flags the leads that take money online (Stripe, Shopify, PayPal, Paddle, Klarna and more).

What data can you get for each website?

Each result includes Core listing fields (domain, finalUrl, socialLinks, pagesCrawled, leadScore, leadSignals, and crawledAt) and contact information (emails, phones, primaryEmail, and contactPageUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as contact information where the source provides them.

Input

The main inputs are a result limit. Additional filters and options are available in the input schema.

Key parameters:

• startUrls — Company websites or domains to scan. One per line. A bare domain (acme.com) is treated as https://acme.com. Paths, www and casing are normalised, so the same site is only crawled — and charged — once.
• inputText — Have your sites in a spreadsheet column or a text file? Paste the whole blob here — newline, comma or semicolon separated, bare domains and full URLs mixed. Merged with the list above; duplicates are billed once.
• maxPagesPerSite — How many internal pages to crawl per website. Contact, about, and team pages are visited first. (default: 20)
• requestTimeoutSecs — Per-request timeout before a page is skipped. (default: 15)
• useProxy — Route requests through a rotating proxy pool to reduce blocking on sites that limit automated access. (default: false)
• includePeople — Best-effort extraction of named people (name, title, personal LinkedIn) from team and about pages. Fill-rate varies by site. (default: false)
• verifyEmails — Check discovered emails for deliverability and flag role, disposable, and free-provider addresses. (default: false)
• verificationLevel — format = syntax only; mx = mail server exists (recommended); smtp = mailbox probe (slower, often blocked by mail servers). (default: "mx")
• maxVerifiedEmailsPerSite — Verification is billed per email, so a site exposing 40 addresses can cost more than expected. Cap how many are verified per site — the primary email is always verified first. 0 (default) verifies every email found. (default: 0)
• onlyWithEmails — Skip sites where no email was found — they are not written to the dataset and not charged. Not every website publishes an email; this makes you pay only for the ones that do. (default: false)
• qualifyByPayment — Flag which leads actually take money online by detecting their checkout stack (Stripe, Shopify, PayPal, Paddle, Klarna and more). Adds paymentStack to each row and 5 points to the lead score. (default: false)
• excludeEmptyFields — Drop empty fields from each record before output. Smaller payloads for AI agents and dashboards. (default: false)
• ...and 12 more parameters

Input examples

Basic search — Fetch companies from the provided start URL.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "startUrls": [
    "https://stripe.com",
    "https://www.smashingmagazine.com"
  ],
  "maxResults": 50
}

Compact output — Return only core fields for AI agents and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "startUrls": [
    "https://stripe.com",
    "https://www.smashingmagazine.com"
  ],
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "domain": "smashingmagazine.com",
  "finalUrl": "https://smashingmagazine.com",
  "emails": [
    "hello@smashingconf.com",
    "mac@smashingmagazine.com"
  ],
  "socialLinks": {
    "facebook": "https://www.facebook.com/smashmag",
    "mastodon": "https://mastodon.social/@smashingmag",
    "linkedin": "https://www.linkedin.com/in/jarijnnijkamp",
    "twitter": "https://www.twitter.com/smashingmag",
    "bluesky": "https://bsky.app/profile/charismagic.bsky.social",
    "youtube": "https://www.youtube.com/@SmashingMagazineVideos"
  },
  "primaryEmail": "hello@smashingconf.com",
  "contactPageUrl": "https://smashingmagazine.com/contact/",
  "pagesCrawled": 8,
  "leadScore": 56,
  "leadSignals": [
    "email_found",
    "email_verified",
    "contact_page",
    "social_profiles"
  ],
  "primaryEmailSource": "website",
  "emailConfidence": "medium",
  "emailVerification": [
    {
      "email": "hello@smashingconf.com",
      "format": true,
      "mx": true,
      "confidence": 0.6,
      "isRole": true,
      "isDisposable": false,
      "isFree": false
    },
    {
      "email": "mac@smashingmagazine.com",
      "format": true,
      "mx": true,
      "confidence": 0.6,
      "isRole": false,
      "isDisposable": false,
      "isFree": false
    }
  ],
  "crawledAt": "2026-08-15T20:09:27.478Z"
}

How to scan websites

1. Go to Website Email Scraper in Apify Console.
2. Configure the input.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need contact info.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from website email scraper for market research and competitive analysis.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scan websites?

Website Email Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.035 per run
• Per listing (primary event): $0.001

You are billed only for the events your run actually triggers. Prices below are the Free plan tier; higher Apify plans (Bronze → Diamond) pay progressively less per event, down to roughly 5× lower on the top tier.

Event	Price (Free tier)	Charged when
Run start	$0.035	Charged once when a run starts.
Website scanned	$0.001	Charged per website processed (one result row).
Verified email	$0.002	Charged per email verified (only when email verification is enabled).

Example costs (primary event only — other events above add cost when they fire):

• 10 results: $0.045
• 25 results: $0.06
• 100 results: $0.14
• 200 results: $0.24
• 500 results: $0.54

FAQ

How many websites can I check per run?

Every website in your input list is checked — there is no fixed cap, so the number of websites per run is limited only by your list size and the run's time budget.

Can I integrate Website Email Scraper with other apps?

Yes. Website Email Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Website Email Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Website Email Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scan websites?

This actor queries publicly available data for the websites you provide. You remain responsible for ensuring your use complies with applicable laws, source terms, and downstream obligations.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on website email scraper. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Website Email's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Website Email.

Search keywords

website email scraper, website email api, apify website email, website email data extraction.