Linktree Scraper: Find Profiles by Sector & Keyword

中文简介 / Chinese summary

• 功能： 按行业（时尚品牌、快闪店、婚礼、房地产等 100 多个分类）从 Linktree 官方目录发现个人主页，并提取简介、链接、社交账号、网站、公开邮箱和电话，可用于品牌线索挖掘和市场调研。
• 输入示例： {"sectors":["fashion-brands"],"onlyBrands":true,"maxProfiles":50}
• 计费： 按结果付费（pay-per-result），价格见本页 Pricing 标签；可设置单次运行最大费用以控制支出。
• 支持： 遇到问题请在 Issues 标签提交，并附上输入参数和 Run ID。

Find Linktree (linktr.ee) profiles for any industry, then collect what each one publishes: bio, links, social accounts, websites, public emails and phone numbers. Pick a sector (fashion, fitness, food, travel...), add your own keywords and cities, and get a list of matching profiles. No login, no browser, no API key.

How discovery works

Linktree has no search box, but it publishes an official profile directory organised by sector (linktr.ee/discover/profile-directory): 12 categories and about 95 sub-sectors, with thousands of profiles each. The Actor reads it directly:

1. Directory (main source): pick sector bundles or exact directory sections (fashion and beauty, weddings, real estate, nail care, bars and restaurants...). The Actor walks the pages of each section, about 20 profiles per page. Profiles found this way are already in their sector, so none is thrown away on a keyword check.
2. Web search (for custom keywords and cities): the directory cannot be filtered by city or niche term, so for those the Actor runs site:linktr.ee "keyword" "city" searches and keeps only profiles whose Linktree category, bio, title or link titles match.
3. Extract: every candidate profile is opened and its bio, links, socials, emails and phones are saved.
4. Optional: it can also follow the ~45 related profiles Linktree lists on each page.

What you get

One dataset item per profile:

• username, url, name, description (bio), isVerified, country
• sectors (which of your sectors it matched) and verticals (Linktree's own category tags)
• likelyBrand and brandSignals: a heuristic that separates businesses (own website, business email, store platform) from individual creators
• emails and phones found in the bio, mailto:, tel: and WhatsApp links
• socialProfiles (Instagram, TikTok, YouTube, X, LinkedIn, Facebook and more) and websites (unique site origins)
• links (title, URL and type of every link, up to 50), linkCount
• createdAt, updatedAt, avatarUrl
• discoveredVia (search, related or input) and the query that found it

Turn off Scrape profile details to get only the profile URLs (username, URL, sector, query) at a lower cost per run.

Input

• Sectors: 14 ready-made bundles, led by Fashion brands (clothing, designers, jewelry, shoes, retail from the directory) and Pop-up stores (found by web search for pop-up, concept store and showroom bios), then: fashion and beauty, health and wellness, food and drink, travel, music, arts and entertainment, sports, e-commerce, real estate, education and coaching, tech and business, creators and media.
• Directory sections: exact categories or sub-sectors of Linktree's directory, such as s/weddings, s/makeup-skincare, s/bars-restaurants or s/nail-care (categories start with c/, sub-sectors with s/). Combine freely with the bundles.
• Directory start page: skip the pages you already collected to get new profiles on the next run.
• Custom keywords and cities: niche terms such as wedding photographer or vegan bakery, found through web search (use a proxy).
• Known profiles: Linktree URLs or usernames to scrape directly.
• Max profiles, only these countries (ISO codes from the profile settings), only profiles with a public email, only brands and businesses, exclude adult content (on by default).
• Also follow related profiles: off by default; related profiles are often off-topic, so most get filtered out.
• Proxy: recommended for keyword and city search, because the search engine rate-limits repeated queries from one IP. Directory discovery works without one.

Example

{
    "directorySections": ["s/weddings", "s/makeup-skincare"],
    "countries": ["FR"],
    "maxProfiles": 100,
    "onlyWithEmail": true,
    "proxyConfiguration": { "useApifyProxy": true }
}

Use it from automations and AI agents

Run it from the Apify API, Make, Zapier, n8n, schedules or webhooks, and read the results from the dataset. You can also call it from AI assistants through the Apify MCP server: add this Actor to your MCP client (Claude, Cursor, VS Code and others) and ask in plain language, for example "find 50 French fashion brands on Linktree with a public email".

Pricing

Pay per result: you are charged for each profile saved to the dataset, plus a tiny start fee. Profiles that are filtered out are not charged. Set a maximum cost per run in the Apify run options to cap spending.

Good to know

• Only public information is collected: what a Linktree page shows to any visitor. Emails and phones appear only when the owner published them.
• The directory is paginated (about 20 profiles per page) and the Actor pages through it automatically. With strict filters it keeps reading pages until it has Max profiles matches or reaches Max profiles to scan, then finishes with what it found.
• The directory has no location filter, and the Only these countries filter has a low yield because most profiles do not declare a country (in our tests about 1 profile in 100 passed a FR filter on fashion sections). To target a city or country, prefer Cities with a sector or keyword: that goes through web search, which understands places in bios.
• Directory sizes vary a lot: about 930 pages for fashion and beauty, 43 for weddings, 3 for libraries. A section that runs out simply stops.
• Keyword search returns about 25 profiles per result page and deeper pages mostly repeat, so large keyword lists come from many keyword and city combinations rather than from paging.
• Bios in other languages need keywords in that language when you use keyword search.
• likelyBrand is a heuristic from the profile's links, not a Linktree label: a creator with a personal website counts as a brand, and a small shop with only social links does not. Use it to prioritise, not as a guarantee.
• Check that your use of the data complies with privacy and marketing rules in your country (GDPR, CAN-SPAM), especially for personal emails.