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Extract, filter, and export your Firestore data to CSV format with advanced field selection and batch processing capabilities.
Apply complex queries and filters to export only the documents you need.
Choose specific fields to export and flatten nested objects for CSV format.
Handle large collections efficiently with automated batch processing and progress tracking.
Configure CSV formatting options including delimiters, encoding, and date formats.
Preview your export data before generating the final CSV file.
Export your Firestore data to CSV, JSONL, JSON, or TOML formats based on your needs.
Choose the Firestore collection you want to export to CSV format.
Use advanced queries to filter the documents you want to export.
Select which document fields to include and configure CSV formatting options.
Generate and download your CSV file with progress tracking.
Export Firestore data to CSV for analysis in Excel, Google Sheets, or analytics tools.
Export data for migration to other databases or platforms using CSV format.
Create CSV backups of your Firestore collections for long-term storage.
Yes, Fuego allows you to select specific fields for export. You can choose which document fields to include in your CSV export and even flatten nested objects to fit the CSV format requirements.
Fuego can export collections with millions of documents. Large exports are processed in batches to maintain performance and memory efficiency. Progress is tracked in real-time during the export process.
Yes, Fuego provides advanced filtering options. You can apply queries, date ranges, field-specific filters, and custom conditions before exporting your data to CSV format.
Fuego supports various CSV formatting options including custom delimiters, date/time/geopoint formatting, and options for handling nested objects and arrays.
Export Firestore collections to CSV format with advanced filtering and field selection. Download Fuego now.