AI-Powered Web Scraping

IDCrawl Scraper

Collect full names, job titles, and LinkedIn profiles from idcrawl in 2 clicks — no code or setup needed.
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Idcrawl data that stays usable

Use idcrawl to extract data faster, cleaner, and at scale with Thunderbit.

Adapts when Idcrawl changes

Scrapers that break after every site update are useless, especially when you’re trying to pull full name, job title, company name, email address, phone number, and linkedin profile from idcrawl. Thunderbit reads the page by meaning, not by fixed selectors, so it can adapt when the layout shifts. You spend less time fixing scrapers and more time getting the data you need.

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Clean data from the start

Raw data is just the start of the real work, and idcrawl results often need cleanup before they’re useful. Thunderbit structures and formats the data during extraction, so what you export is already clean and ready to use. That means less sorting, less rework, and a smoother handoff to your team.

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Bulk scrape Idcrawl in one go

Scraping one idcrawl page at a time doesn’t scale when you need a long list of contacts. Thunderbit can bulk-scrape hundreds of pages in one go, so you can feed it a list of URLs and extract full name, job title, company name, email address, phone number, and linkedin profile across them all. It’s a much easier way to turn a big list into usable data.

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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 often change layout, so selector-based scrapers break after small site updates.
Dynamic loading and nested page structures make it hard to capture all records consistently.
Pagination can be messy on idcrawl, causing scrapers to miss later pages or duplicate rows.
Details hidden inside subpages often require separate scraping logic, which slows everything down.
Data usually comes out inconsistent, with mixed formats and fields that need heavy cleanup.
The AI Advantage

Thunderbit AI

The smarter approach
Thunderbit reads idcrawl pages by meaning, so layout changes do not require selector repairs.
Just point, click, and extract; Thunderbit handles dynamic sections without custom setup.
Its auto-pagination follows multi-page results automatically, so later pages are captured too.
Subpage scraping visits linked detail pages and appends those fields as new columns.
Auto data cleaning structures messy output as it extracts, making the data ready to use.

Don't just take our word for it

See what our users have to say about Thunderbit.

Frequently asked questions

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