Rainforest API alternative

A Rainforest API alternative that answers before theirs connects.

<100ms Responses Product History Live Scrape from $0.30/1k CSV Batches

Rainforest scrapes Amazon live for every request, and users publicly report 15–50 second responses. We run that same on-demand scrape when you want it — mode=live — but you choose per call: mode=cache answers in under 100 milliseconds from a maintained warehouse, with price and BSR history in the same response. Failed requests are never billed either way. Try the live demo and time it yourself.

Start for $19/month Try the live demo

✓Schedule batch runs using GUI or API
✓Warehouse product data with history
✓Live scrape for current Amazon data
✓Continuously refreshed warehouse of 24M+ products
✓Bulk: up to 10,000 ASINs per batch, priced before you run
✓11 Amazon marketplaces + US Walmart
✓Warehouse answers by default — live scrape only when you ask

Live demo · this page queries the production API in real time

Try Logimu custom Amazon search. Watch the response time.

Then click any product for its full history — price and rank over time, every seller on the listing, and who has held the buy box.

Side-by-side comparison.

	Logimu	Rainforest API
Architecture	Maintained warehouse index	Live scrape per request
Typical response	under 100 ms	Claims 1–6s; users report 15–50s
Pricing model	Published credit prices	$59–$375+/mo tiers + credit multipliers
Failed requests	Never billed	Consume credits on retries
Live Amazon search (SERP)	Yes — `/v1/serp`, Rainforest-compatible params, ad / video / brand-store blocks	Yes — `type=search` (its core)
Warehouse / curated search lane	Yes — ranked, grouped, under 100 ms	No warehouse — every search is a live scrape
Cost known before a bulk run	Yes — free `/v1/batch-estimate` returns the warehouse / live split and the credit cost first	No — running the job is the only way to price it
Bulk rows from the warehouse	Yes — rows within your max age serve at half a credit, each stamped with when it was observed	No warehouse — every row in a job is a live scrape
Result retention	30 days	14 days
Multi-seller offers	Full list, one credit	Paginated — credits per page
Price / BSR / seller history	BSR since Oct 2023 (US), price 30-day — same API	Partial, bundled per call
Marketplaces	US, UK, DE, CA, AU, JP, FR, IT, ES, MX, BR + Walmart today	Many Amazon domains
Support	Direct engineer access	Tickets — users report months-long waits

Fair is fair: Rainforest covers more Amazon domains today. We cover Amazon US, UK, Germany, Canada, Australia, Japan, France, Italy, Spain, Mexico, and Brazil plus Walmart, with more on the way — and when you need purchase-moment accuracy on Amazon, mode=live scrapes the product on demand (about 6s).

The pain points that bring people here.

Barcode lookup Pass a UPC, EAN or GTIN instead of an ASIN — /v1/product?gtin= or a bare barcode as the /v1/shopping query. Leading zeros and punctuation are tolerated, matches are resolved inside the marketplace you asked for, and a barcode that maps to several ASINs returns every match. Unknown barcodes are never billed.
One mode: scrape, every time Public reviews describe single requests taking 15–50 seconds — a scrape can only start work after you ask. We run the same on-demand scrape with mode=live. The difference is that you can choose not to: mode=cache answers in under 100ms with price and BSR history attached. Rainforest keeps no warehouse, so there is no cached path and no history to fall back on.
Data that doesn't match the page Users report responses missing the buybox, description, or price while all three are visibly on the live page — a parse-quality lottery on every request. Our records come from a continuously validated pipeline with dedup and variant collapsing, and every record is timestamped so you know exactly what you're getting.
Credit multipliers that inflate the real bill Extra credits for variants, fees, and paginated offers make the effective per-request price unpredictable. Ours are published per call — and the full offer list is one credit, not one per page.
Support tickets that age in months Public reviews describe tickets open for four to six months. We're a small engineering team; you talk to the people who run the pipeline.

Migration is a schema map.

Send us the Rainforest request types you use (search, product, offers) and the fields you consume. We'll map them to our endpoints, hand you a test key, and you can run both APIs side by side until you're satisfied. Most integrations swap over in an afternoon — the response shapes are close and ours is smaller.

Rainforest's type=search is a live scrape of Amazon's results page; it maps to our GET /v1/serp, which takes the same parameter names (search_term, page, max_page, sort_by, category_id, refinements) and returns the organic grid, sponsored ad and video blocks, brand stores, related searches and round-trip-ready refinements — a rename, not a rewrite. The difference is that we also keep a warehouse, so the same search can come back curated from the warehouse in under 100 ms (/v1/shopping) when you don't need Amazon's exact live page, and single-ASIN lookups can come from the warehouse with price and BSR history attached. Live SERP is billed per page actually fetched; blocked and empty fetches are never billed.

What a product response includes.

One ASIN in, the full record out — /v1/product.

Current snapshot Price, BSR, rating, review count, stock state, UPC, parent ASIN, brand stats — and Amazon's own "bought in past month" figure where it publishes one.
Every seller, in the same call The full live offer list is standard, not a separate endpoint: seller name and ID, price, FBA and Prime flags, feedback score, and buy-box days. Gathering offers is the slow part of any live scrape, which is why most APIs bill them separately.
Price and stock history The full price series plus price-change and stock-change events, in the base call.
Rank history, per category Add bsr_history=true for daily rank in every category the product sits in, back to Oct 2023 on Amazon US. Half a credit on top.
Seller history — who held the buy box, and when Add offer_history=true for a buy-box timeline plus a per-seller price series, each with first seen, last seen and buy-box days. Half a credit on top.
Warehouse or live scrape — your call mode=cache answers in under 100ms for one credit. mode=live scrapes the listing on demand when it has to be current. Failed scrapes are never billed.

Eleven Amazon marketplaces plus US Walmart, in one schema.

Related.

Amazon stats inside Claude & ChatGPT.

Prefer tool calls in your assistant over raw API calls? Webotee AI Connect puts this same Amazon data to work inside Claude & ChatGPT — product search and shopping lookups like this API’s, plus a wide set of Amazon market stats and research tools: brand intelligence, seller networks, niche & category discovery, and AI-assisted evaluations grounded in observed data. Built by the team behind Logimu; plans from $29/month.

Run us side by side with Rainforest.

Sign up — your key is issued instantly — point your existing integration at both, and compare latency, data quality, and the bill. We're confident about all three.

Start for $19/month