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What Panda Scraper does
Most scraping projects stop at a CSV file that someone then has to copy into another tool. Panda Scraper skips that step. It collects the data and hands it to a Pandaflow workflow, which can clean it, check it and send it wherever it needs to go.
- Automatic selectors, with simple JavaScript when you need more control
- Pagination and infinite scrolling
- Authenticated pages that require a login
- Rotating proxies
- Webhook and JSON API output
Who it’s for
Panda Scraper is for operations, growth and research teams that need fresh data from public websites on a schedule. Typical users are teams tracking competitors, building lead lists, or watching prices, and anyone tired of copying and pasting from browser tabs into spreadsheets.
Common uses
- Pricing intelligence: track competitor product prices and travel fares.
- Reviews and reputation: watch what is said about your business across the web.
- Social and news monitoring: aggregate posts and news coverage on topics you follow.
- Market data: collect real estate listings, job postings, and finance or crypto prices.
- Lead and CRM enrichment: send scraped records straight into your CRM.
- Alerts: get notified when scraped data changes.
Built on Pandaflow
Because Panda Scraper runs inside Pandaflow, scraped data can flow straight into the rest of your stack. Send it to HubSpot or Salesforce, add it to Google Sheets, or post a summary to Slack. See all integrations.