🔍 Contact Details Scraper – Emails, Phones & Social Links

Extract verified emails, phone numbers, physical addresses, WhatsApp numbers, and 14 social media profiles from any website. The only contact scraper on Apify that accepts both direct URLs and natural-language search queries — go from "plumbers in Chicago" to a full contact list in one run, no prep work needed.

What Does Contact Details Scraper Do?

Contact Details Scraper crawls websites and extracts all publicly available contact information into one clean, deduplicated record per domain. Feed it a list of URLs, or describe the businesses you want to reach and let the actor find them via DuckDuckGo automatically.

Why Use Contact Details Scraper?

• Zero URL prep needed — just type your target niche and location (e.g. "HVAC companies in Dallas Texas") and get back a contact list
• One clean record per domain — no duplicate rows per page, no noise, one consolidated output per website
• Cloudflare-protected emails decoded — automatically decodes data-cfemail attributes that hide emails from basic scrapers
• 14 social platforms in one shot — LinkedIn, Twitter/X, Facebook, Instagram, YouTube, TikTok, GitHub, Pinterest, Telegram, Discord, Reddit, Medium, Threads, Snapchat

What Data Can Contact Details Scraper Extract?

Field	Description	Example
domain	Root domain of the website	acme.com
company_name	Business name from meta/OG/copyright/JSON-LD	Acme Corp
emails	All email addresses, deduplicated and junk-filtered	["hello@acme.com", "sales@acme.com"]
phones	Phone numbers from tel: links and body text	["+1-312-555-0100"]
whatsapp	WhatsApp contact numbers from wa.me links	["+13125550199"]
social_links	Object with 14 social platform URLs	{"linkedin": "...", "instagram": "..."}
addresses	Physical addresses from JSON-LD and text patterns	["123 Main St, Chicago, IL 60601"]
pages_scraped	How many pages were crawled for this domain	7
source_url	The original start URL	https://acme.com
scraped_at	ISO 8601 timestamp	2026-04-13T10:30:00Z

How to Use Contact Details Scraper

Option A — Direct URLs

Paste a list of website URLs you want to extract contacts from:

{
    "startUrls": [
        { "url": "https://company-a.com" },
        { "url": "https://company-b.com" }
    ],
    "maxPagesPerDomain": 10,
    "maxResults": 50
}

Option B — Search Queries (Most Powerful)

Describe the businesses you want to find. The actor searches DuckDuckGo, finds the top websites, and extracts contacts automatically:

{
    "searchQueries": [
        "dentists in Miami Florida",
        "web design agencies New York"
    ],
    "maxPagesPerDomain": 8,
    "maxResults": 30
}

Option C — Both Together

Combine URLs and search queries in the same run:

{
    "startUrls": [
        { "url": "https://specific-company.com" }
    ],
    "searchQueries": ["roofing contractors Austin Texas"],
    "maxPagesPerDomain": 10,
    "maxResults": 25
}

Input Parameters

Parameter	Type	Default	Description
startUrls	Array	[]	Direct website URLs to extract contacts from
searchQueries	Array	[]	Natural-language search queries (e.g. "lawyers in Boston")
maxPagesPerDomain	Integer	10	Max pages to crawl per domain (contact/about pages crawled first)
maxDepth	Integer	2	How many links deep to follow from start URL
maxResults	Integer	20	Max number of domains to save to the dataset
proxyConfig	Object	Apify Proxy	Proxy configuration (datacenter recommended)

Output Example

{
    "domain": "acme.com",
    "company_name": "Acme Corp",
    "emails": ["hello@acme.com", "sales@acme.com", "john@acme.com"],
    "phones": ["+1-312-555-0100", "(312) 555-0101"],
    "whatsapp": ["+13125550199"],
    "social_links": {
        "linkedin": "https://www.linkedin.com/company/acme-corp",
        "twitter": "https://twitter.com/acmecorp",
        "facebook": "https://www.facebook.com/acmecorp",
        "instagram": "https://www.instagram.com/acmecorp",
        "youtube": "https://www.youtube.com/channel/UC123",
        "github": "https://github.com/acme-corp"
    },
    "addresses": ["123 Main Street, Chicago, IL 60601"],
    "pages_scraped": 7,
    "source_url": "https://acme.com",
    "scraped_at": "2026-04-13T10:30:00.000Z"
}

Pricing

This actor uses pay-per-event pricing at $0.003 per domain result — the most competitive per-domain price on Apify.

Domains	Cost
10 domains	~$0.03
100 domains	~$0.30
500 domains	~$1.50
1,000 domains	~$3.00

Pricing is predictable: you pay per domain saved to your dataset, not per page crawled. The actor also charges the standard Apify apify-actor-start event on each run.

Running via API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('USERNAME/contact-details-scraper').call({
    searchQueries: ['dentists in Miami Florida'],
    maxPagesPerDomain: 8,
    maxResults: 25,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); // Array of contact records

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("USERNAME/contact-details-scraper").call(run_input={
    "searchQueries": ["dentists in Miami Florida"],
    "maxPagesPerDomain": 8,
    "maxResults": 25,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

How It Works

1. Input processing — For search queries, the actor fetches DuckDuckGo HTML results and extracts the top website URLs. For direct URLs, they are queued immediately.
2. Priority crawling — Contact, About, Team, and Impressum pages are crawled first (highest priority score) since they contain the most contact info.
3. Multi-source extraction — Each page is mined via: mailto: links (most reliable), tel: links, JSON-LD structured data (@type: Organization), WhatsApp links (wa.me), Cloudflare email decode (data-cfemail), and regex-based text extraction for emails and phones.
4. Domain-level merging — All findings from all pages of a domain are merged and deduplicated into one clean record.
5. Social link detection — 14 platform patterns are matched against the full HTML of each page.
6. Save & charge — The consolidated record is pushed to the dataset and the domain-result event is charged.

Common Use Cases

• B2B lead generation — Build prospect lists of companies in your target niche and location
• Sales outreach — Get direct emails and LinkedIn profiles before your first touch
• CRM enrichment — Append missing contact data to existing account records
• Agency prospecting — Find SMBs in specific industries or cities for agency services
• Market research — Gather contact data across industries or regions
• Competitor monitoring — Discover which social platforms competitors actively use

FAQ

What if a website blocks scraping? The actor uses Apify's datacenter proxy pool by default, which rotates IPs. Enable "Residential Proxy" in the proxy config for heavily protected sites.

Do search queries find email addresses directly? No — the actor searches for websites matching your query, then crawls those websites to extract contact info. It doesn't search email databases.

How many pages per domain should I use? 5–8 pages covers most small business websites. Use 10–15 for larger sites with many subpages. The actor always crawls contact/about/team pages first.

Some emails look generic — can I filter them? The actor already filters obvious junk patterns (noreply@, mailer-daemon@, example.com, etc.). For further filtering, export to CSV and filter by email prefix patterns.

Does it work on JavaScript-heavy sites? The actor uses a fast HTTP crawler. Most contact pages are server-rendered. If a site requires JavaScript to render contact info, those specific emails may not be found.

Legal Disclaimer

This actor is designed for extracting publicly available contact information from websites. Users are solely responsible for ensuring their use complies with applicable laws, website terms of service, GDPR, CCPA, and other data protection regulations. Do not use this tool to collect personal data without a lawful basis. Apify is not responsible for any misuse of extracted data.

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