Definition
AI data mapping is the process of using artificial intelligence to automatically match fields from diverse source data (web pages, APIs, documents) to a unified target schema. Instead of manually coding transformation rules for each data source, the AI understands the semantic meaning of both source content and target fields, creating accurate mappings without explicit instructions.
The Data Mapping Problem
When collecting data from multiple sources, the same information appears in different formats and structures:
| Source A | Source B | Source C | Target Schema |
|---|---|---|---|
product_name |
title |
itemTitle |
name |
cost |
price_usd |
sellingPrice |
price |
in_stock |
availability |
stockStatus |
available |
Manually creating mappings for every source is tedious, error-prone, and does not scale. Each new source requires new mapping rules.
How AI Data Mapping Works
Field Matching
The AI analyzes field names and their content to determine semantic equivalence. It recognizes that product_name, title, and itemTitle all refer to the same concept and maps them to the target name field.
Value Transformation
Beyond field matching, AI mapping handles value normalization: converting "$79.99" and "79.99 USD" and "7999" (cents) to a consistent numeric format, or mapping "In Stock" / "available" / "true" to a boolean.
Structural Mapping
When source and target structures differ (flat vs nested, single record vs array), AI mapping navigates these transformations intelligently.
Benefits
- Scale — add new sources without writing new transformation code
- Accuracy — semantic matching catches relationships that string-based matching misses
- Maintenance — mappings adapt as sources change field names or structures
AI Data Mapping in ScrapeGraphAI
ScrapeGraphAI performs AI data mapping as part of every extraction. When you define a target schema, the AI maps content from any source page to your schema fields — regardless of how the source labels or structures its data. This means a single schema works across hundreds of different sites without site-specific mapping rules.