Contact Info Scraper — Extract Emails, Phone Numbers & Social Media from Any Website

Enter any website URL, and this Actor will automatically browse through its pages to collect all available contact information — email addresses, phone numbers, and social media links. No technical knowledge required.

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What does Contact Info Scraper do?

Contact Info Scraper is a powerful tool that visits any website you specify, navigates through its pages (up to a configurable depth), and extracts all publicly available contact details. It organizes the results by page, and at the end, provides a deduplicated summary of all unique contact information found across the entire site.

Whether you need to find a company's email, collect phone numbers from a directory, or gather social media profiles for outreach, this Actor handles it all automatically.

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Key Features

• Email Extraction — Discovers all email addresses on a website, with smart filtering to exclude invalid or placeholder addresses.

• Phone Number Extraction — Identifies phone numbers across 200+ countries and regions. Results are split into two confidence levels:

  • phone_numbers — High-confidence, validated phone numbers
  • uncertain_phone_numbers — Potential phone numbers that may need manual verification

• 14 Social Media Platforms — Automatically detects and categorizes links to: Twitter/X, Facebook, Instagram, LinkedIn, YouTube, TikTok, Pinterest, GitHub, Reddit, Snapchat, WhatsApp, Telegram, Medium, and Discord.

• Auto Deduplication & Summary — After scraping completes, a summary record is automatically generated containing all unique emails, phone numbers, and social media links found across every page — no manual cleanup needed.

• Concurrent Processing — Multiple pages are processed simultaneously (configurable 1-10 workers), significantly reducing scraping time.

• URL Filtering — Focus only on the pages you care about (e.g., /contact, /about, /team) and skip irrelevant ones (e.g., /blog, /cart). Saves time and cost.

• Domain Locking — Restrict scraping to the same domain as your starting URL, preventing the crawler from following external links.

• Auto Retry — If a page fails to load, the Actor automatically retries up to 2 times to ensure data completeness.

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Use Cases

• Sales & Lead Generation — Quickly build contact lists of potential clients by scraping their company websites.
• Market Research — Collect publicly available contact information from industry websites to understand your competitive landscape.
• Recruitment — Gather team member and HR contact details from company career pages and about pages.
• PR & Media Outreach — Find contact information for journalists, bloggers, and influencers for partnership and promotion.
• Directory Building — Build industry-specific contact databases from multiple websites at scale.

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Input Parameters

Parameter	Type	Description
Urls	string[]	Target website URLs to scrape. You can provide multiple URLs.
Depth	integer	How many layers of links to follow from the starting URL. 0 = only the starting page.
Total_num	integer	Maximum number of page results to collect (up to 10,000). The summary record is always appended at the end.
Lock_domain	boolean	When enabled, only scrapes pages within the same domain as the starting URL.
Concurrency	integer	Number of pages to process in parallel (1-10). Higher values are faster but use more resources.
Max_urls_per_depth	integer	Maximum number of URLs to process at each depth level.
url_include_patterns	string[]	Only crawl URLs whose path contains at least one of these keywords. Example: ["/contact", "/about", "/team"]. Leave empty to crawl all.
url_exclude_patterns	string[]	Skip URLs whose path contains any of these keywords. Example: ["/blog", "/news", "/login"].

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Output Example

Each scraped page produces a record with "type": "page". After all pages are processed, a final "type": "summary" record is appended with deduplicated data from all pages.

Page Record

{
    "type": "page",
    "start_url": "https://wikimediafoundation.org/contact/",
    "domain": "wikimediafoundation.org",
    "depth": 0,
    "referrer_url": "https://wikimediafoundation.org/contact/",
    "current_url": "https://wikimediafoundation.org/contact/",
    "page_title": "Contact – Wikimedia Foundation",
    "emails": [
        "donate@wikimedia.org",
        "info@wikimedia.org",
        "legal@wikimedia.org",
        "answers@wikimedia.org",
        "business@wikimedia.org"
    ],
    "phone_numbers": [
        "+1 415-839-6885",
        "+1 415-347-8540"
    ],
    "uncertain_phone_numbers": [
        "+84 912 032 336",
        "+34 912 03 23 36"
    ],
    "twitter": [],
    "facebook": [
        "https://www.facebook.com/wikimediafoundation/",
        "https://www.facebook.com/wikipedia"
    ],
    "instagram": [
        "https://www.instagram.com/wikimediafoundation/",
        "https://www.instagram.com/wikipedia/"
    ],
    "linkedin": [
        "https://www.linkedin.com/company/wikimedia-foundation",
        "https://www.linkedin.com/company/wikipedia-the-free-encyclopedia/"
    ],
    "youtube": [
        "https://www.youtube.com/@wikipedia"
    ],
    "tiktok": [
        "https://www.tiktok.com/@wikipedia"
    ],
    "pinterest": [],
    "github": [],
    "reddit": [],
    "snapchat": [],
    "whatsapp": [],
    "telegram": [],
    "medium": [],
    "discord": []
}

Summary Record

The last record in the dataset. Contains all unique contact information collected across every page:

{
    "type": "summary",
    "start_url": "https://wikimediafoundation.org/contact/",
    "domain": "wikimediafoundation.org",
    "pages_crawled": 100,
    "emails": [
        "accessibility@wikimedia.org",
        "answers@wikimedia.org",
        "business@wikimedia.org",
        "donate@wikimedia.org",
        "info@wikimedia.org",
        "legacy@wikimedia.org",
        "legal@wikimedia.org",
        "press@wikimedia.org",
        "privacy@wikimedia.org",
        "publicpolicy@lists.wikimedia.org",
        "recruiting@wikimedia.org",
        "wikipedialibrary@wikimedia.org",
        "wmfbequest@cck-law.com"
    ],
    "phone_numbers": [
        "+1 201-920-2020",
        "+1 415-347-8540",
        "+1 415-839-6885",
        "+49 202 32024",
        "+49 2903 7109",
        "+82 2-903-7109",
        "+86 20 1920 2020",
        "+91 40 2023 2024"
    ],
    "uncertain_phone_numbers": [
        "+34 873 02 44 88",
        "+34 912 03 23 36",
        "+358 20 232024",
        "+358 29 037109",
        "+39 02 023 2024",
        "+39 02 903 7109",
        "+45 20 10 20 11",
        "+45 20 11 20 12",
        "+45 20 12 20 13",
        "+45 20 12 20 14",
        "+45 20 13 10 12",
        "+45 20 13 20 14",
        "+45 20 14 20 15",
        "+45 20 15 20 16",
        "+45 20 16 20 15",
        "+45 20 16 20 17",
        "+45 20 17 20 16",
        "+45 20 17 20 18",
        "+45 20 18 20 17",
        "+45 20 18 20 19",
        "+45 20 19 05 18",
        "+45 20 19 20 18",
        "+45 20 19 20 20",
        "+45 20 20 20 19",
        "+45 20 20 20 21",
        "+45 20 20 20 24",
        "+45 20 21 20 20",
        "+45 20 21 20 22",
        "+45 20 22 20 21",
        "+45 20 22 20 23",
        "+45 20 22 20 25",
        "+45 20 22 40 20",
        "+45 20 23 20 22",
        "+45 20 23 20 24",
        "+45 20 24 20 23",
        "+45 20 24 20 25",
        "+45 20 25 20 24",
        "+46 20 23 20 24",
        "+46 290 371 09",
        "+47 02019",
        "+47 02025",
        "+52 201 920 2020",
        "+66 2 023 2024",
        "+66 2 903 7109",
        "+84 873 024 488",
        "+84 912 032 336",
        "+971 800 00"
    ],
    "twitter": [
        "http://twitter.com/intent/tweet?text=1%20billion%2B%20unique%20devices%20access%20Wikimedia%20sites%20every%20month%20https://wikimediafoundation.org/technology?pagename=technology",
        "http://twitter.com/intent/tweet?text=40%20million%20articles%20across%20nearly%20300%20languages%20on%20Wikipedia%20https://wikimediafoundation.org/research?pagename=research",
        "http://twitter.com/intent/tweet?text=6,000%20views%20per%20second%20across%20Wikimedia%20sites%20https://wikimediafoundation.org/technology?pagename=technology"
    ],
    "facebook": [
        "http://www.facebook.com/sharer/sharer.php?s=100&p%5Burl%5D=https://wikimediafoundation.org/news/2025/11/09/7-reasons-you-should-donate-to-wikipedia/&&p%5Btitle%5D=",
        "http://www.facebook.com/sharer/sharer.php?s=100&p%5Burl%5D=https://wikimediafoundation.org/news/2026/01/15/wikipedia-celebrates-25years/&&p%5Btitle%5D=",
        "http://www.facebook.com/sharer/sharer.php?s=100&p%5Burl%5D=https://wikimediafoundation.org/news/2026/02/02/open-knowledge-journalism-awards-applications-open/&&p%5Btitle%5D=",
        "http://www.facebook.com/sharer/sharer.php?s=100&p%5Burl%5D=https://wikimediafoundation.org/news/2026/03/02/the-winners-of-wiki-loves-earth-2025/&&p%5Btitle%5D=",
        "https://www.facebook.com/wikimediafoundation/",
        "https://www.facebook.com/wikipedia"
    ],
    "instagram": [
        "https://www.instagram.com/wikimediafoundation/",
        "https://www.instagram.com/wikipedia/"
    ],
    "linkedin": [
        "https://www.linkedin.com/company/wikimedia-foundation",
        "https://www.linkedin.com/company/wikipedia-the-free-encyclopedia/",
        "https://www.linkedin.com/shareArticle?mini=true&url=https://wikimediafoundation.org/news/2025/11/09/7-reasons-you-should-donate-to-wikipedia/&title=",
        "https://www.linkedin.com/shareArticle?mini=true&url=https://wikimediafoundation.org/news/2026/01/15/wikipedia-celebrates-25years/&title=",
        "https://www.linkedin.com/shareArticle?mini=true&url=https://wikimediafoundation.org/news/2026/02/02/open-knowledge-journalism-awards-applications-open/&title=",
        "https://www.linkedin.com/shareArticle?mini=true&url=https://wikimediafoundation.org/news/2026/03/02/the-winners-of-wiki-loves-earth-2025/&title=",
        "https://www.linkedin.com/showcase/wikimediapolicy"
    ],
    "youtube": [
        "https://www.youtube.com/@wikipedia",
        "https://www.youtube.com/watch?v=lnsBPcmbFLM&embeds_referring_euri=https%3A%2F%2Fwikimediafoundation.org%2F&source_ve_path=OTY3MTQ"
    ],
    "tiktok": [
        "https://www.tiktok.com/@wikipedia"
    ],
    "pinterest": [],
    "github": [
        "https://github.com/slaporte"
    ],
    "reddit": [],
    "snapchat": [],
    "whatsapp": [],
    "telegram": [],
    "medium": [
        "https://medium.com/wikimedia-policy/bills-that-claim-to-advance-safety-online-will-cause-more-online-harm-its-time-to-pay-attention-48746b6dc7e7?source=friends_link&sk=7fdfd8900cc36d41bf353dd26c957de2",
        "https://medium.com/wikimedia-policy/gonzalez-vs-google-whats-at-stake-for-wikipedia-563162797553?source=friends_link&sk=b587ea9afd38932649d4f7312208c3c2",
        "https://medium.com/wikimedia-policy/what-happened-in-the-c%C3%A9sar-do-pa%C3%A7o-lawsuit-f91b7fb5e54b",
        "https://medium.com/wikimedia-policy/wikimedia-foundation-tells-ftc-to-rein-in-commercial-surveillance-e2ef85bddb34?source=friends_link&sk=59f499c4db688b2b4c96615f1fc7f902"
    ],
    "discord": []
}

Tip: Filter the dataset by type = "summary" to instantly get all deduplicated contact information, or by type = "page" to view per-page details.

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Output Fields

Field	Description
type	Record type: page for per-page results, summary for the deduplicated summary.
start_url	The original URL you provided as input.
domain	The domain of the start URL.
depth	The scraping depth at which this page was found (0 = starting page).
referrer_url	The URL that linked to this page.
current_url	The URL of the scraped page.
page_title	The title of the scraped page.
emails	Email addresses found on the page (or all unique emails in summary).
phone_numbers	High-confidence phone numbers, validated for correctness.
uncertain_phone_numbers	Potential phone numbers that may require manual verification.
twitter, facebook, instagram, ...	Social media profile URLs found, categorized by platform (14 platforms supported).
pages_crawled	Total number of pages scraped (only present in the summary record).

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How to Use

1. Enter your target URLs — Provide one or more website URLs you want to scrape.
2. Adjust settings — Set the scraping depth, result limit, and optionally add URL filters to focus on specific pages.
3. Run and download — Click Start, wait for the Actor to finish, and download your results in JSON, CSV, or Excel format.

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Tips for Best Results

• Start small — Test with Depth: 5 and Total_num: 100 first to preview the results before running a large-scale scrape.
• Use URL filters — Set url_include_patterns to ["/contact", "/about", "/team", "/people"] to focus on pages most likely to contain contact information. This saves time and reduces cost.
• Check the summary — Filter by type = "summary" in the dataset to get a clean, deduplicated list of all contacts found across the entire website.
• Adjust concurrency — If you're on a lower-memory plan, reduce Concurrency to 2 or 3 for stable performance.

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Notes

Phone number and email formats vary significantly across countries and regions. This Actor does its best to accurately identify and validate contact information, but cannot guarantee 100% accuracy for every result. The phone_numbers field contains high-confidence results, while uncertain_phone_numbers may include entries that require manual verification.

Additionally, this Actor can only access publicly available pages. Pages that require a login, account registration, or any form of authentication cannot be scraped.