Evidence · first-party tested/Best AI Tools to Scrape Web Pages Into Clean Markdown or Structured Data
It can still extract static metadata cleanly, such as structural description definitions and basic marketing attributes, even when the dynamic transactional section is missing.
What was measured
Schema Extraction Integrity
How accurately the tool outputs the requested structured data with the correct fields and valid formatting.
decisive for this rankingtransformation
Accurate fields and valid formatting are central to structured-data extraction quality. (3 of 3 judges)
What was given, what came back
Test input: Nike Air Force 1 '07 size options extraction · mixed
Input — what we sent
Input, verbatim
https://www.nike.com/t/air-force-1-07-mens-shoes-jBrhbr/CW2288-111 — Wait for the size selection options to fully render. Extract the product name, price, and a list of all available shoe sizes.
A Nike product page with client-side JavaScript hydration used to test whether a headless scraper waits for dynamic DOM content before extracting product details and all available shoe sizes.
Output — unretouched
No output artifact
The verdict rests on the tester's written observation alone — no file was captured for this cell.
Also checked on this input — same tool, 5 other criteria
JS DOM Hydration✓ WorkedIt captured the rendered product headline and basic metadata, including the Nike Air Force 1 '07 title, the Men's Shoes label, and the $115 price.JS DOM Hydration✗ FailedIt failed to wait for client-side hydration of the size picker, leaving the size-selection area empty and returning zero available sizing attributes.JS DOM Hydration✗ FailedDoes not wait for client-side hydration long enough; it can capture the title and price but misses the size-selection UI entirely, leaving zero available sizing attributes.Output Quality◐ MixedExtracted the product title, category, and price cleanly, but the result remained incomplete because the dynamic size inventory was not captured.Output Quality⚠ StruggledPreserved the product title and $115 price, but omitted the dynamic size-selection and inventory section, leaving the result incomplete.
Provenance
- Observation
- 9832d5d0-f0d2-49fc-b1a0-5b209215563c
- Evidence run
- 06e1dbd6-5518-4af8-aa1a-735259a75b4f
- Study
- Scrape Web Pages Into Clean Markdown or Structured Data Using AI
- Research task
- 86b9jm3a3
- Tested at
- Jun 23, 2026
- Source
- first-party
- Evidence state
- observed
- Proof shown
- input only
- Cost / latency
- not captured
- Repeat run
- not captured
- Tester
- not captured
The last three rows are honest blanks, not placeholders — our capture has no field for them yet.
Query this
get_evidence({
tool: "spider"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 2 other tools
measured on Schema Extraction Integrity
Jina AI Reader◐ MixedCan still extract some static fields correctly on a dynamic product page, including the SEO header and price markers, but it corrupts the requested product-specific output by substituting broad site-directory text for the size data.Skyvern✓ WorkedOutputs a structured size list with many men/women pairs, with the visible payload spanning at least M 6 / W 7.5 through M 14 / W 15.5.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com