Amazon Data Scraper — Search, Products, Best Sellers & More avatar

Amazon Data Scraper — Search, Products, Best Sellers & More

Pricing

Pay per event

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Amazon Data Scraper — Search, Products, Best Sellers & More

Amazon Data Scraper — Search, Products, Best Sellers & More

Scrape Amazon without code: search results, full product details, best sellers, new releases, seller storefronts, and keyword ideas — all in one actor, across 20+ countries. Clean JSON/CSV/Excel. Fast, and you pay only for the results you actually get.

Pricing

Pay per event

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5.0

(3)

Developer

Automation Craft

Automation Craft

Maintained by Community

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1

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4 days ago

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Get Amazon data as a clean spreadsheet or JSON file — no coding needed. Pick what you want (a mode), enter a keyword / product / category, and press start. Works on 20+ Amazon country sites, and you only pay for results you actually get — if Amazon blocks a page, it costs you nothing.

Other tools make you rent a separate scraper for search, another for products, another for best sellers. This is one tool that does all six.

✅ What this can do

Pull Amazon's public catalogue data — the things you can see on Amazon without logging in:

  • product listings and prices, ratings and review counts, images, brand, best-seller rank, availability, seller info, keyword ideas, and more.

❌ What this cannot do

  • It does not download the text of customer reviews. Amazon hides full reviews behind a login, so no tool can reliably scrape review text. You do get each product's star rating and number of reviews — just not the written review paragraphs. (If you only need ratings + counts, this tool has you covered.)
  • It does not access anything private (orders, seller dashboards, buyer info) — only public pages.

Modes (pick one per run)

ModeWhat you getGive it
SearchProduct cards for a keyword: title, price, list price, rating, review count, image, Prime, sponsored flag, ASINSearch terms
Product detailEverything for specific products: title, brand, price, rating, review count, availability, Best Sellers Rank, feature bullets, all images, full spec tableASINs or product URLs
Best sellersA category's Best Sellers ranking (rank, ASIN, title, price, rating, review count)Category
New releasesA category's newest productsCategory
Seller storefrontEvery product a seller listsSeller IDs
Keyword suggestionsAmazon's autocomplete completions for a prefix (great for keyword research / PPC)Search terms

Quick examples

Search amazon.com for "wireless headphones" (first 2 pages):

{ "mode": "search", "search": ["wireless headphones"], "marketplace": "com", "maxPagesPerQuery": 2 }

Full detail for two products:

{ "mode": "product", "asins": ["B09XS7JWHH", "https://www.amazon.co.uk/dp/B08N5WRWNW"] }

Top 100 best-selling electronics in India:

{ "mode": "bestsellers", "category": ["electronics"], "marketplace": "in", "maxItems": 100, "maxPagesPerQuery": 4 }

Every product from a seller's storefront:

{ "mode": "seller", "sellerIds": ["A2L77EE7U53NWQ"], "marketplace": "com", "maxPagesPerQuery": 5 }

Keyword ideas for PPC:

{ "mode": "suggestions", "search": ["wireless head", "yoga"], "marketplace": "com" }

Input fields

  • mode — which data type to scrape (see the table). Each mode uses one input field:
    • Search / Keyword suggestions → search (list of keywords)
    • Product detail → asins (ASINs or full product URLs; a URL's marketplace wins)
    • Best sellers / New releases → category (a slug like electronics, books, toys-and-games, or a full best-sellers URL)
    • Seller storefront → sellerIds (the value after seller=/me= in a storefront URL)
  • marketplace — which Amazon site (com, co.uk, de, in, … 20 total). A full product URL overrides it.
  • maxItems — hard cap on total result rows (cost control).
  • maxPagesPerQuery — how many pages to follow for Search / Seller / Best sellers / New releases (each page is ~16–60 items). Ignored by Product detail and Keyword suggestions.
  • maxConcurrency — parallel requests.
  • proxyConfiguration — residential proxy by default (strongly recommended; Amazon blocks datacenter IPs).

Output

One row per result in the dataset, tagged with type (search / product / bestsellers / new-release / seller / suggestion) so you can filter mixed exports. Prices are returned both as a number (price) and with the currency symbol; ratings as a 0–5 number; review counts as integers.

Filter the dataset view by type for a clean per-mode table, or export the whole run as JSON/CSV/Excel.

Reliability

  • HTTP-based (no browser) → fast and cheap.
  • Every request is isolated — one product failing never corrupts another's result (a common bug in other Amazon actors).
  • Amazon occasionally rate-limits or serves a bot check; the actor retries on a fresh proxy session automatically. If a page stays blocked after retries, it's reported as an error row and — because billing is pay-per-result — it costs you nothing.
  • Residential proxies are the default and give the best success rate. Datacenter IPs get blocked quickly; not recommended.

Pricing (pay-per-result)

EventPrice
Actor start$0.01 per run
Result (Search / Best sellers / New releases / Seller / Suggestions)$0.002 each
Product detail (full record)$0.0075 each

You are charged only for results actually returned. A run that gets blocked and returns nothing costs only the actor-start fee.

Notes & limits

  • This scrapes public Amazon listing/catalog data. It does not scrape individual review text (Amazon login-walls full reviews) — a product's average rating and review count are included, but not the review bodies.
  • Price is returned for the vast majority of products. A small number legitimately have no price (pre-orders, "see buying options", currently-unavailable items), and Amazon occasionally serves a page variant where the price is loaded dynamically — Product mode automatically re-fetches to recover it, but price can still be null in those cases. All other fields are unaffected.
  • Category slugs vary by marketplace — copy them from the Best Sellers URL on the marketplace you're targeting.
  • Respect Amazon's Terms of Service and applicable laws; you are responsible for how you use scraped data.