Used For

• +**Your lead generation takes 40 hours/week of manual copy-pasting** → AI identifies contact info and builds prospect lists in minutes
• +**Competitor price monitoring breaks every month when sites redesign** → Thunderbit adapts automatically, keeps your data flowing
• +**You need product data from Amazon but BeautifulSoup fails on infinite scroll** → Handles JavaScript rendering and pagination without custom code
• +Works on login-protected sites like LinkedIn - scrapes data from pages you're already logged into
• +AI prompts clean data as it scrapes - removes currency symbols, categorizes products, flags deals automatically

Best For

• >You're manually copying competitor prices from 20 websites every week
• >Your VA quit and took all the lead generation knowledge with them
• >Tried other scrapers but they break every time websites update

Not For

• -Data engineering teams with custom pipelines — you'll want more control than a Chrome extension offers
• -High-volume mission-critical scraping — if you need millions of rows daily with guaranteed uptime, build custom infrastructure
• -Complex data transformations — this extracts and cleans data but won't replace your ETL workflows

Pairs With

• *Google Sheets (where your scraped lead lists and price data actually live for daily use)
• *Airtable (to turn raw scraped data into organized databases with custom fields and views)
• *Zapier (to trigger actions when Thunderbit finds new data - like adding leads to your CRM automatically)
• *HubSpot (where scraped leads go to become actual sales opportunities)
• *Notion (for research databases and content planning using scraped competitor data)
• *Slack (where your team gets notifications about price changes or new leads found)

The Catch

• !Credit system means high-volume scraping gets expensive fast — pricing details are mysteriously absent from their marketing
• !Chrome-only limits your team to one browser, no server-side automation
• !AI suggestions work great on standard layouts but struggle with heavily customized or unusual website structures

Bottom Line

Web scraping for people who don't want to learn CSS selectors or hire a data engineer.