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ThunderbitAI web scraper that extracts structured data from any site in two clicks—no code required.

5.0 (4)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Thunderbit is an AI-powered web scraping tool that allows users to extract structured data from any website without requiring coding knowledge. It aims to simplify the process of data extraction, making it accessible to users who may not have technical expertise. With Thunderbit, users can supposedly extract data in just two clicks. The tool is designed for individuals or businesses that need to gather data from various websites but lack the resources or technical capabilities to build custom scrapers. While specific details about its functionality and limitations are not provided, Thunderbit likely competes with other no-code or low-code web scraping solutions, focusing on ease of use and speed of deployment. However, without more information, its standout capabilities, workflow integrations, and honest strengths and limitations compared to alternatives remain unclear.

Key features

  • AI-suggested field detection
  • Two-click scraping workflow
  • Subpage and pagination scraping
  • Scheduled and recurring scrapes
  • Direct export to Sheets, Airtable, Notion, CSV/JSON
  • Pre-built templates for common sites

Pricing

Model
Freemium
Rating
5.0 / 5 (4)

Use cases

Build product catalogs from e-commerce sites

Extract product listings including names, prices, and details from online stores in two clicks, then export directly to Sheets or Airtable for analysis or monitoring.

Generate sales leads from directories

Collect contact details and company information from business directories or search results, with subpage scraping to capture deeper profile data for outreach lists.

Track real estate listings on a schedule

Set up recurring scrapes of property listings across pagination, pushing fresh data to Notion or CSV to monitor market changes without manual effort.

Compile research data without coding

Let AI auto-detect fields on unfamiliar pages so non-technical researchers can pull structured datasets and export to JSON or spreadsheets for downstream work.

Pros & Cons

Pros

  • No coding or selector setup required
  • Fast two-click workflow for most pages
  • Exports to spreadsheets, Airtable, and Notion
  • Handles subpages and pagination automatically

Cons

  • Credit-based pricing can add up for heavy use
  • AI field detection may need manual tweaks on complex sites
  • Less control than custom-built scrapers

Reviews

5.0

Average from 4 ratings.

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Carlos Mendoza

Jan 8, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: aI-suggested field detection and exports to spreadsheets, Airtable, and Notion. Where it lags: credit-based pricing can add up for heavy use. On balance the feature set — especially subpage and pagination scraping — justifies the 5 stars for our use case.

T

Tomáš Novák

Dec 9, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on scheduled and recurring scrapes, and no coding or selector setup required caught me off guard. still, I'd recommend giving it a real trial.

B

Beatriz Costa

Sep 13, 2025

Does the job

Pretty happy overall. AI-suggested field detection just works and fast two-click workflow for most pages. AI field detection may need manual tweaks on complex sites can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

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Priya Nair

Sep 2, 2025

Solid for our team

We rolled this out across the team last quarter and handles subpages and pagination automatically. Pre-built templates for common sites fits neatly into how we already work, and scheduled and recurring scrapes removed a step we used to do by hand. but it has held up under daily use.

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