leboncoin.com
success
Claude Code
intent

What does leboncoin.com do and who is it for? Explain it back to me.

12steps
54.2sduration
$0.6791cost
100,215tokens
19 steps7 reasoning steps4 searches
home
docs
home
search
/wiki/leboncoin
/20231012/leboncoin-ev…
/brand/leboncoin
search
docs
search
search
docs
50%
on-site discovery
50%
reliability
25%
link following
path origin
  • previous resource25%
  • web search50%
  • prior knowledge25%
insight

The agent successfully completed the task by working around the site's direct access blocks. Unable to fetch leboncoin.com/.fr pages directly (all returned 403 Cloudflare captcha walls), the agent pivoted to web search and third-party sources, assembling a comprehensive explanation of what leboncoin is, who uses it, how it prices listings, and how it differs from competitors. The site itself is not agent-navigable due to JavaScript/bot protection, but public information about the platform is well-documented externally.

  • ›Steps [8] (Wikipedia), [9] (The Local article), and [10] (Adevinta corporate page) provided the core definition, positioning, and business model. Step [15] (SEQUR pricing blog) gave detailed fee structures for 2026. All were discovered via web search [6], not site navigation.
  • ›The leboncoin.com and leboncoin.fr domains are completely blocked to automated access via Cloudflare bot protection—all direct fetch attempts returned 403 with a JavaScript captcha wall. The agent never accessed the actual site.
  • ›The agent had to assemble the answer from external sources: Wikipedia (brand/market position), third-party pricing blogs (fee schedule), Adevinta corporate site (ownership/features), and comparison articles (competitors). No single public-facing leboncoin page was successfully retrieved to validate user-facing information.
  • ›Pricing information was surprisingly detailed in external blogs, suggesting that fee structures are public knowledge in the French marketplace community, but the official site does not expose this via a static, crawlable pricing page.
  • ›The agent identified genuine knowledge gaps (verification mechanisms, professional seller policies, payment methods, AI feature specifics) that were not documented in the sources it found—indicating these details either live behind the bot protection or are simply not publicly articulated.

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