xiaohongshu
xiaohongshu
incremental-fetch
Build resilient data ingestion pipelines from APIs. Use when creating scripts that fetch paginated data from external APIs (Twitter, exchanges, any REST API) and need to track progress, avoid duplicates, handle rate limits, and support both incremental updates and historical backfills. Triggers: ...
Full skill instructions
Build data pipelines that never lose progress and never re-fetch existing data.
Track TWO cursors to support both forward and backward fetching:
| Watermark | Purpose | API Parameter |
|---|---|---|
newest_id | Fetch new data since last run | since_id |
oldest_id | Backfill older data | until_id |
A single watermark only fetches forward. Two watermarks enable:
newest_id)oldest_id)These are different operations with different timing:
| What | When to Save | Why |
|---|---|---|
| Data records | After EACH page | Resilience: interrupted on page 47? Keep 46 pages |
| Watermarks | ONCE at end of run | Correctness: only commit progress after full success |
fetch page 1 → save records → fetch page 2 → save records → ... → update watermarks
First run (no watermarks)?
├── YES → Full fetch (no since_id, no until_id)
└── NO → Backfill flag set?
├── YES → Backfill mode (until_id = oldest_id)
└── NO → Update mode (since_id = newest_id)
This pattern works best with ID-based pagination (numeric IDs that can be compared). For other pagination types:
| Type | Adaptation |
|---|---|
| Cursor/token | Store cursor string instead of ID; can't compare numerically |
| Timestamp | Use last_timestamp column; compare as dates |
| Offset/limit | Store page number; resume from last saved page |
See references/patterns.md for schemas and code examples.
xiaohongshu
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