Scrapfly

Scrapfly

scrapfly.ioWebscrapingGitHub CopilotGitHub Copilot
83/ 100
B
Score Breakdown83%

Lost points on 4 checks

  • cost6/10
  • efficiency3/10
  • Context70/14
  • OpenAPI0/14
Eval Score (70% weight)89%
cost$0.10 ($0.10–$0.20, great)+6
time55s (<60s, excellent)+15
efficiency15 tool calls (≤15, good)+3
found docsTouched docs at scrapfly.io: yes (6 matching tool calls)+10
zero errorsNo errors in tool outputs+5
syntax validCode compiles/parses correctly+5
created filesGenerated files: 1 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Checklist Score (30% weight)71%
Context7
+0
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
+0
Agent Skills
Link+14
CLI
Link+14

Checklist determined by AI. If something looks wrong, .

Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(89 × 0.7) + (71 × 0.3)= 83%
Replay
Using https://scrapfly.io/docs, complete the following task:

Using the Scrapfly Python SDK, build me a script that scrapes web content:

1. Install the official Scrapfly Python SDK (pip install)
2. Scrape the page at "https://news.ycombinator.com"
3. Extract the top 5 story titles and their URLs
4. Print the results as JSON array with fields: rank, title, url

You MUST use the official Scrapfly Python SDK — do not make raw HTTP/REST calls.
scrape_hn.py

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Run completed Oct 26, 2026, 6:42 PM