Evidence · first-party tested/Best AI Tools to Scrape Web Pages Into Clean Markdown or Structured Data
Outputs 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.
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
Completed extraction of Nike Air Force 1 product data
Also checked on this input — same tool, 7 other criteria
Interaction Stability◐ MixedThe extraction completed, but the screen-capture recorder fell out of sync and froze on an early page state, so runtime observability degraded.Interaction Stability✗ FailedThe live recording pipeline went out of sync during hydration and froze on the initial page view even though backend extraction still completed, showing unreliable handling of dynamic UI state changes.Interaction Stability⚠ StruggledHandles the page extraction itself, but the run’s live recording pipeline can fall out of sync during hydration: the report states the screen capture froze on the initial page view, making the recording unwatchable and hard to debug.JS DOM Hydration◐ MixedThe extraction pipeline recovered the hydrated Nike size data, but the screen-recording/visual trace subsystem was out of sync and froze on an initial page view, so the captured recording did not reflect the final dynamic state.JS DOM Hydration✓ WorkedWaits for the client-rendered product page to hydrate and extracts the size grid instead of stopping at the initial shell.JS DOM Hydration✓ WorkedThe tool can wait for client-side hydration and capture the rendered product state, including a populated size-selection grid; in this run it extracted a structured schema of the Nike Air Force 1 '07 size options and showed multiple size variants rather than an empty shell.Output Quality✓ WorkedReturns accurate product data for the hydrated page, including the correct product name Nike Air Force 1 '07 and a long size list; the visible output shows 14 fully readable size pairs from M 7 / W 8.5 through M 14 / W 15.5.
Provenance
- Observation
- b903a087-1027-4526-92f2-daf9f93cd3b0
- 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
- verified
- Proof shown
- input + output shown
- 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: "skyvern"
})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.Spider◐ MixedIt can still extract static metadata cleanly, such as structural description definitions and basic marketing attributes, even when the dynamic transactional section is missing.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com