Export to CSV
CSV (Comma-Separated Values) is the most universal data format. Export your scraped data as a CSV file that can be opened in virtually any spreadsheet application, database tool, or programming language.
How to export
1
Run your scrape
Complete a scrape using any mode — single page, multi-page, or infinite scroll. Your results will appear in the preview table.
2
Click the Export button
Once you have results, click the Export button in the toolbar above the preview table.
3
Select CSV format
Choose CSV from the export format options. The file downloads instantly to your Downloads folder.
What's in the file
- Header row — the first row contains your field names as column headers
- Data rows — each scraped item becomes one row in the file
- UTF-8 encoding — supports international characters, accented letters, and special symbols
- Proper escaping — values containing commas, quotes, or newlines are automatically escaped
Compatibility
CSV files work with virtually every data tool:
- Google Sheets — open directly or import via File → Import
- Microsoft Excel — double-click to open or use Data → From Text/CSV for encoding options
- Apple Numbers — open directly with full support
- Python & R — read with pandas, csv module, or readr
- Databases — import into MySQL, PostgreSQL, SQLite, and more
- Airtable, Notion, Zapier — CSV import is supported in most modern data tools
When to use CSV
- You need maximum compatibility across tools and platforms
- You plan to process the data programmatically (Python, R, Node.js)
- You want a lightweight, plain-text file with no formatting overhead
- You're importing into a database or automation tool
If you need formatted columns, multiple sheets, or richer data types, use the Excel export instead. CSV is plain text and does not support formatting or formulas.