Filter
Filter
Section titled “Filter”What it does: Keeps only the data you want by filtering out items that don’t meet your criteria.
Perfect for: Removing duplicates • Quality control • Selecting specific items • Data cleanup
How It Works
Section titled “How It Works”graph LR
A[📊 All Data] --> B[🔍 Filter]
B --> C[✅ Matching Items Only]
style A fill:#e1f5fe
style B fill:#e8f5e8
style C fill:#f3e5f5
Simple process: All data → Filter checks each item → Only items that match your criteria
Common Filter Types
Section titled “Common Filter Types”Keep items with specific values
{"field": "status", "equals": "active"}Remove short content
{"field": "content.length", "greaterThan": 100}Keep recent items
{"field": "date", "after": "2024-01-01"}Remove duplicates
{"field": "id", "unique": true}Real Example
Section titled “Real Example”Before filtering (all scraped articles):
[ {"title": "Great Article", "content": "Long detailed content...", "author": "John"}, {"title": "", "content": "Short", "author": ""}, {"title": "Another Good One", "content": "More detailed content...", "author": "Jane"}]After filtering (only quality articles):
[ {"title": "Great Article", "content": "Long detailed content...", "author": "John"}, {"title": "Another Good One", "content": "More detailed content...", "author": "Jane"}]Filter used: Keep only articles with titles, content longer than 50 characters, and authors.
Common Use Cases
Section titled “Common Use Cases”Remove low-quality content - Filter out articles that are too short or missing key information Deduplicate data - Remove duplicate entries from scraped data Select by criteria - Keep only items that match specific conditions Performance optimization - Reduce data size before expensive processing
Quick Troubleshooting
Section titled “Quick Troubleshooting”No items pass filter: Check that your criteria aren’t too strict or field names are correct Filter too slow: Simplify your conditions or process smaller batches Wrong results: Verify field names match your data structure exactly
What’s Next?
Section titled “What’s Next?”Related nodes: If • Merge • Edit Fields
Common workflows: Data Processing Patterns • Web Extraction Workflows • Quality Control Workflows
Learn more: Flow Control Basics • Multi-Step Workflows