Evidence · first-party tested/Best AI Tools to Scrape Web Pages Into Clean Markdown or Structured Data
The 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.
What was measured
JS DOM Hydration
How well the tool waits for and captures content rendered by client-side JavaScript on dynamic pages.
decisive for this rankingtransformation
Capturing JavaScript-rendered content is a core scraping capability for modern web pages. (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⚠ 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.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.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.Schema Extraction Integrity✓ WorkedCan accurately preserve a hydrated page’s structured output, extracting a complete schema of all 22 shoe sizes without corrupting the requested JSON structure.Schema Extraction Integrity✓ WorkedAccurately extracts hydrated product-size data into structured output; the visible result enumerates multiple size pairs, including M 7 / W 8.5, M 7.5 / W 9, M 8 / W 9.5, and through M 15 / W 16.5 in the shown excerpt.Schema Extraction Integrity✓ 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.
Provenance
- Observation
- d49869b0-9f36-4e26-b289-a3f2ab804939
- 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 — 3 other tools
measured on JS DOM Hydration
Firecrawl◐ MixedCaptures hydrated product content but leaves substantial non-content noise in the output, including raw backend code artifacts and raw media-attachment matrices.Jina AI Reader✗ FailedIt did not capture the client-rendered size selector; after 7.0 s the extract still lacked the live size grid and showed only static page content.Spider✓ 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.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com