IDCrawl Scraper

AI-Powered Web Scraping

IDCrawl Scraper

Extract full names, job titles, LinkedIn profiles, and contact details from IDCrawl in 2 clicks, then export to Google Sheets, Excel, or Notion instantly. No code or setup needed.

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Users Worldwide200K+

IDCrawl data that stays usable

Extract IDCrawl data faster, cleaner, and at scale with Thunderbit.

Adapts when IDCrawl changes

Scrapers that break after every site update cost you time — especially when you need consistent fields like full name, job title, company name, email address, phone number, and LinkedIn profile from IDCrawl. Thunderbit reads pages by meaning rather than fixed selectors, so layout changes don't require manual fixes. You spend less time maintaining scrapers and more time putting the data to work.

Clean data from the start

Raw scraped data rarely arrives ready to use, and IDCrawl results are no exception. Thunderbit structures and formats each field during extraction, so what you get is already clean and organized. Less manual sorting, less rework, and a faster handoff to whoever needs the data next.

Bulk scrape IDCrawl in one go

Scraping IDCrawl one profile at a time doesn't work when you need hundreds of contacts. Feed Thunderbit a list of URLs and it will extract names, job titles, company names, email addresses, phone numbers, and LinkedIn profiles across all of them in a single run. It's the fastest way to turn a long prospect list into a structured, export-ready dataset.

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Why is Thunderbit different from traditional IDCrawl scrapers?

A simpler way to extract idcrawl data without constant fixes.

Traditional scrapers

The old way of doing things

IDCrawl pages update regularly, and selector-based scrapers break each time the layout shifts.

Dynamic content and nested page structures make it hard to capture all records reliably.

Multi-page results on IDCrawl are tricky — scrapers often skip pages or pull duplicates.

Fields buried in linked detail pages require extra scraping logic, which adds time and complexity.

Output tends to be inconsistent, with mixed formats and fields that need significant cleanup before use.

The AI Advantage

Thunderbit AI

The smarter approach

Thunderbit reads IDCrawl pages by meaning, so layout changes never require selector repairs.

Point, click, and extract — Thunderbit handles dynamic content without any custom setup.

Auto-pagination follows multi-page results automatically, so no records are left behind.

Subpage scraping visits linked profile pages and appends their fields as additional columns.

Auto data cleaning structures the output during extraction, so the data is ready to export immediately.

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Frequently asked questions

Related use cases

Explore more use cases of Thunderbit's web scraper.

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