Product research and assortment planning
Compare public listings across a category to understand price bands, product attributes, rating patterns, and recurring customer language.
Collect approved public Amazon product, search-result, category, and review pages as HTML, Markdown, or structured JSON for ecommerce research.
Organize publicly displayed titles, prices, ratings, review counts, specifications, listing positions, and descriptions for a repeatable research workflow.
Compare public listings across a category to understand price bands, product attributes, rating patterns, and recurring customer language.
Track public prices, promotions, availability cues, titles, images, and descriptions across a competitor set to surface documented changes.
Review publicly displayed ratings, review counts, and permitted review text to identify repeated requests, strengths, objections, and comparisons.
Choose HTML, Markdown, or JSON while retaining source context for research, monitoring, or AI workflows.
Work with approved public product, category, search-result, and review pages.
Keep original page structure, clean readable text, or structured fields for analysis.
Do not bypass authentication or technical protections. Follow Amazon terms, law, robots directives, and reasonable request limits.
Collect approved public Amazon product, search-result, category, and review pages as HTML, Markdown, or structured JSON for ecommerce research.
{ "engine": "google", "location": "United States", "organic": [ { "position": 1, "title": "..." } ], "ai_overview": { "text": "...", "sources": [...] }}Pay only for valid data
No. Clawoxy uses success-based billing: credits are consumed only when a request ultimately succeeds and returns valid content. Retries caused by blocked IPs, target-site errors, or timeouts do not consume credits.
An Amazon scraper retrieves approved public Amazon pages and returns the product information needed by a workflow as a consistent data response.