Thunderbit

Overview

Thunderbit is an agentic AI web scraping platform delivered as a Chrome extension. It turns any website, PDF, or image into clean, structured spreadsheet data in a single click. Users describe the data they need in natural language, and Thunderbit's AI reads the page, infers the relevant fields, and extracts the information automatically. This eliminates the need for scraping templates, XPath selectors, custom scripts, or per-site configuration. Trusted by more than 200,000 users worldwide and rated 4.2 out of 5, Thunderbit is designed for both technical and non-technical teams.

At the core of Thunderbit is an AI engine that understands web page structure and content semantics the way a human would. The extension includes an AI Suggest Fields feature that automatically proposes columns for the data you want to collect. It supports bulk scraping across thousands of pages, scheduled scraping for recurring data pulls, and automatic pagination handling for "load more" patterns. Thunderbit can also follow links to sub-pages and enrich each output row with detail-page data, which is especially useful for product catalogs, real estate listings, and lead enrichment workflows. Because the AI reads page content semantically rather than relying on brittle DOM selectors, the scraper remains resilient to website layout changes and HTML updates.

Thunderbit runs inside the user's browser, which enables it to access pages behind a login without exposing credentials to external servers. It handles virtually any website type without site-specific setup, and it supports export directly to Google Sheets, Airtable, Notion, Excel, CSV, and JSON—no Zapier or middleware required. The platform offers a free tier for up to six scraped pages, with paid Starter and Pro plans that add higher monthly credit limits and advanced capabilities. It was recognized as Chrome Web Store Product of the Week, reinforcing its position as a modern, agentic alternative to traditional scraping tools.

For sales, marketing, operations, recruiting, and engineering teams, Thunderbit transforms web data collection from a manual, error-prone task into a repeatable, automated workflow. It enables lead generation, competitive research, market monitoring, and structured data extraction at scale without requiring users to write or maintain scraping code. The combination of natural-language interaction, automatic field suggestion, and native downstream integrations makes Thunderbit a practical choice for teams that need reliable, structured web data on demand.

Core capabilities

AI Suggest Fields

Automatically reads the current page and proposes the most relevant data columns before extraction begins.

Natural Language Extraction

Users describe the information they want in plain English, and the AI extracts and organizes it into structured rows.

Bulk Scraping

Processes thousands of pages in a single run for large-scale data collection tasks.

Scheduled Scraping

Automates recurring data pulls on an hourly, daily, or weekly basis.

Sub-page Scraping

Follows links to detail pages and enriches each record with additional data fields.

Layout-Resilient AI

Continues to work even when websites change their design or HTML structure.

Universal Page Coverage

Works on virtually any website type without per-site configuration or templates.

Native Integrations

One-click export to Google Sheets, Airtable, Notion, Excel, CSV, and JSON without third-party middleware.

Use cases

Lead generation and contact data enrichment

Product catalog and e-commerce price tracking

Real estate listing aggregation and property research

Job posting collection and talent sourcing

Review monitoring and online reputation analysis

Market research and competitive intelligence

Automated data pipelines feeding into spreadsheets, databases, or analytics tools