E-commerce & retail data
Pull live prices, ratings, and reviews from major retailers so you can compare products, track competitors, and research the market in seconds.
Last updated July 14, 2026
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The e-commerce Research scrapers let Praxivara read product pages, category listings, and reviews from major online stores. Ask a question about a product and get back structured data — price, rating, review count, seller, availability — instead of a dozen open tabs.
This is useful whether you're buying, selling, or just keeping an eye on the market. Sellers use it to watch competitors; buyers use it to compare options fast; teams use it to build product research without manual copy-paste.
What you can ask for
- Compare a product across listings — "what's this selling for right now?"
- Pull top results for a search — "the best-rated standing desks under $400."
- Summarize reviews — "what do people complain about most in these reviews?"
- Track a category — the current best sellers or new arrivals in a niche.
Example prompts
"Check the current price and rating for this product on Amazon and give me the top 3 alternatives."
"Pull the recent reviews for this item and summarize the top pros and cons."
"Find the 10 best-selling wireless earbuds and put price, rating, and review count in a table."
Automate it with an agent
Give an agent e-commerce Research tools and a schedule, and it can watch prices for you. For example, a "Competitor Price Watch" agent can check a list of products every morning, note anything that changed, and post the summary to Slack or email — with results also saved in Deliveries.
Good to know
- Results come back as structured cards, so you can compare items side by side.
- Larger crawls (many products or pages) use more credits than a single lookup.
- Data reflects what's publicly visible on the site at the time of the run.