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URL: https://apify.com/ahmed_jasarevic/linktree-advanced-lead-scraper

⇱ Linktree Advanced Lead Scraper (Category & Subcategory) Β· Apify


πŸ‘ Linktree Advanced Lead Scraper (Category & Subcategory) avatar

Linktree Advanced Lead Scraper (Category & Subcategory)

Pricing

from $5.00 / 1,000 results

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Linktree Advanced Lead Scraper (Category & Subcategory)

Advanced Linktree scraper that extracts profiles from category and subcategory directories, collects emails, social links, bio data, and profile metadata. Supports pagination, proxy rotation, and large-scale lead extraction from Linktree discovery pages.

Pricing

from $5.00 / 1,000 results

Rating

5.0

(5)

Developer

πŸ‘ Ahmed Jasarevic

Ahmed Jasarevic

Maintained by Community

Actor stats

1

Bookmarked

8

Total users

6

Monthly active users

25 days ago

Last modified

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🌿 Linktree & Bio Lead Discovery Scraper (Categories & Subcategories)

Discover and extract large-scale leads from Linktree, Beacons and other link-in-bio directories using categories and subcategories.

This tool is designed for bulk lead discovery, allowing you to start from curated categories or subcategories and automatically expand them into a structured list of real profiles containing emails, social links, and business information.

πŸ‘‰ For direct profile extraction (single Linktree URL), use this companion Actor: https://apify.com/ahmed_jasarevic/linktree-beacons-bio-email-scraper-extract-leads


πŸš€ What this tool does

Instead of manually searching for creators or businesses one by one, this Actor lets you:

  • πŸ“‚ Explore entire categories of link-in-bio profiles
  • πŸ”Ž Expand subcategories into full profile lists
  • πŸ“ˆ Automatically collect hundreds of profiles per category
  • 🧠 Discover hidden creators, brands, and businesses at scale

It acts as a discovery engine for link-in-bio ecosystems.


🎯 Input options

You can control the scraping flow using:

πŸ“‚ Categories

Scrape full top-level groups of profiles (e.g. β€œattractions”, β€œfashion”, β€œfitness”).

πŸ“ Subcategories

Target more specific segments inside categories for refined lead discovery.

πŸ”„ Pagination control

Define how deep the scraper should go per category.


πŸ“Š What you get

Each discovered profile is expanded into structured lead data:

  • Username
  • Profile URL
  • Email addresses (if publicly available)
  • Social media links (Instagram, TikTok, YouTube, X, etc.)
  • External and affiliate links
  • Bio / description
  • Verification status
  • Scraped timestamp

πŸ’‘ Use cases

  • 🌐 Building large influencer databases
  • πŸ“£ Marketing outreach campaigns
  • 🧲 Lead generation for agencies and freelancers
  • πŸ“Š Market research on creator niches
  • πŸ’Ό Finding business contacts from public profiles
  • πŸš€ Scaling discovery of monetized online profiles

⚑ Key advantages

  • Built for bulk discovery at scale
  • Expands categories into full lead datasets automatically
  • Works across multiple link-in-bio ecosystems
  • Produces clean, structured, export-ready data
  • Ideal for growth, sales, and outreach workflows

πŸ”— Recommended workflow

  1. Use this Actor to discover profiles via categories/subcategories
  2. Then pass individual profile URLs into the companion Actor for deeper extraction: https://apify.com/ahmed_jasarevic/linktree-beacons-bio-email-scraper-extract-leads

This gives you a two-step lead system: discovery β†’ enrichment


🧠 Output example

{
"username":"exampleuser",
"sourceUrl":"https://linktr.ee/exampleuser",
"emails":["contact@example.com"],
"socialLinks":[
{
"type":"INSTAGRAM",
"url":"https://instagram.com/exampleuser"
}
],
"regularLinks":[
{
"title":"My Website",
"url":"https://example.com"
}
],
"bio":"Creator sharing lifestyle content and business links.",
"isVerified":true,
"scrapedAt":"2026-05-20T12:00:00Z"
}

πŸ”₯ Perfect for

  • Agencies building large lead databases
  • Growth marketers scaling outreach lists
  • Affiliate marketers discovering monetized profiles
  • Researchers analyzing creator ecosystems
  • Sales teams finding public contact points

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