# Ecommerce Data API

> Amazon ecommerce data APIs for product, keyword, market, sales, reviews, traffic, and trademark research.

## Getting started

Authenticate with `X-API-Key: ecom_live_...`, or `Authorization: Bearer ecom_live_...`. Keys are created at https://ecommercedataapi.com/settings/apikeys/create and shown once.

```bash
curl --request POST \
  --url https://ecommercedataapi.com/v1/amazon/asin/detail \
  --header "Content-Type: application/json" \
  --header "X-API-Key: ${ECOMMERCE_DATA_API_KEY}" \
  --data '{"marketplace":"US","asin":"B08CK5Z5Q1"}'
```

## Pricing

New accounts get 5 free test calls once the email is verified, valid for 24 hours. There is no recurring free tier. The entry pack is 650 calls, and the three packs run 650 / 1700 / 9000 calls. Packs are one-time purchases and their credits are valid for 60 days. Monthly and yearly plans (Starter / Pro / Business: 900 / 3500 / 13000 calls a month) cost less per call; plan calls are granted each month on the subscription date (not by calendar month) and unused calls do not roll over. Every pack and plan can call every endpoint.

Prices are shown per region. See https://ecommercedataapi.com/pricing for the current amounts.

## MCP

Streamable HTTP endpoint: https://ecommercedataapi.com/mcp — OAuth 2.1 with PKCE. Works with ChatGPT, Claude Code, Cursor and Codex.

Setup: https://ecommercedataapi.com/en/docs/mcp-setup
Clients: https://ecommercedataapi.com/en/docs/mcp-platforms
Agent Skill and runnable examples (REST, LangChain, OpenAI Responses API): https://github.com/ecommercedataapi/ecommerce-data-api

## API endpoints (46)

### Products

- [Amazon Product Search](https://ecommercedataapi.com/en/docs/amazon/product/competitor-lookup): Search products by keyword or exact ASIN list. `POST /v1/amazon/product/competitor-lookup`
- [Amazon Product Research](https://ecommercedataapi.com/en/docs/amazon/product/research): Research products with category, sales, price, review, and seller filters. `POST /v1/amazon/product/research`
- [Amazon Product Details](https://ecommercedataapi.com/en/docs/amazon/asin/detail): Retrieve product metadata, pricing, ratings, category, and listing attributes. `POST /v1/amazon/asin/detail`
- [Amazon Product Categories](https://ecommercedataapi.com/en/docs/amazon/product/node): Search category nodes and category paths. `POST /v1/amazon/product/node`
- [Amazon Product History](https://ecommercedataapi.com/en/docs/amazon/asin/history): Retrieve historical product price, rank, rating, and listing snapshots. `POST /v1/amazon/asin/history`
- [Amazon Product Reviews](https://ecommercedataapi.com/en/docs/amazon/review): Retrieve paginated product reviews with optional star filters. `POST /v1/amazon/review`
- [Amazon BSR Sales Estimate](https://ecommercedataapi.com/en/docs/amazon/sales/prediction/bsr): Estimate product sales from category and BSR rank. `POST /v1/amazon/sales/prediction/bsr`
- [Amazon Product Sales Estimate](https://ecommercedataapi.com/en/docs/amazon/sales/prediction/asin): Retrieve current and historical sales estimates for an ASIN. `POST /v1/amazon/sales/prediction/asin`
- [Amazon Coupon Trends](https://ecommercedataapi.com/en/docs/amazon/asin/coupon-trend): Retrieve historical coupon activity for an ASIN. `POST /v1/amazon/asin/coupon-trend`
- [Amazon Product Details with Coupon Trends](https://ecommercedataapi.com/en/docs/amazon/asin/with-coupon-trend): Retrieve product details together with coupon history. `POST /v1/amazon/asin/with-coupon-trend`
- [Amazon Product Sales Trends](https://ecommercedataapi.com/en/docs/amazon/asin/sales-trend): Retrieve sales trend data for an ASIN. `POST /v1/amazon/asin/sales-trend`
- [Amazon Product Competitors](https://ecommercedataapi.com/en/docs/amazon/asin/competitor): Retrieve comparable product records for an ASIN. `POST /v1/amazon/asin/competitor`

### Keywords

- [Amazon Keyword Miner](https://ecommercedataapi.com/en/docs/amazon/keyword/miner): Discover keyword opportunities with demand, competition, and PPC filters. `POST /v1/amazon/keyword/miner`
- [Amazon Keyword Research](https://ecommercedataapi.com/en/docs/amazon/keyword-research): Research keyword demand, growth, competition, conversion, and PPC metrics. `POST /v1/amazon/keyword-research`
- [Amazon Keyword Research Trends](https://ecommercedataapi.com/en/docs/amazon/keyword-research/trends): Retrieve historical research metrics for a keyword. `POST /v1/amazon/keyword-research/trends`
- [Google Keyword Trends](https://ecommercedataapi.com/en/docs/amazon/google/trends): Retrieve geographic and time-series search interest for a keyword. `POST /v1/amazon/google/trends`
- [Amazon Traffic Keyword Statistics](https://ecommercedataapi.com/en/docs/amazon/traffic/keyword/stat): Retrieve aggregate traffic keyword statistics for an ASIN. `POST /v1/amazon/traffic/keyword/stat`
- [Amazon Reverse Keyword Lookup](https://ecommercedataapi.com/en/docs/amazon/traffic/keyword): Retrieve traffic keywords, demand, and rank positions for an ASIN. `POST /v1/amazon/traffic/keyword`
- [Amazon ABA Weekly Research](https://ecommercedataapi.com/en/docs/amazon/aba/research/weekly): Research weekly Amazon Brand Analytics keyword metrics. `POST /v1/amazon/aba/research/weekly`
- [Amazon ABA Monthly Research](https://ecommercedataapi.com/en/docs/amazon/aba/research/monthly): Research monthly Amazon Brand Analytics keyword metrics. `POST /v1/amazon/aba/research/monthly`
- [Amazon Keyword Conversion](https://ecommercedataapi.com/en/docs/amazon/keyword/conversion): Retrieve keyword conversion metrics for an Amazon keyword. `POST /v1/amazon/keyword/conversion`
- [Amazon Order Keyword Lookup](https://ecommercedataapi.com/en/docs/amazon/keyword-order): Retrieve the keywords that generate orders for ASINs. `POST /v1/amazon/keyword-order`
- [Amazon Keyword Expansion](https://ecommercedataapi.com/en/docs/amazon/traffic/extend): Expand traffic keywords from an ASIN list with market filters. `POST /v1/amazon/traffic/extend`
- [Amazon ABA Keyword Trends](https://ecommercedataapi.com/en/docs/amazon/aba/research/trends): Retrieve weekly or monthly ABA trend data for a keyword. `POST /v1/amazon/aba/research/trends`

### Traffic

- [Amazon Related Product Traffic Statistics](https://ecommercedataapi.com/en/docs/amazon/traffic/listing/stat): Retrieve aggregate related-product traffic statistics for an ASIN. `POST /v1/amazon/traffic/listing/stat`
- [Amazon Related Product Traffic](https://ecommercedataapi.com/en/docs/amazon/traffic/listing/page): Retrieve related products and traffic positions for ASINs. `POST /v1/amazon/traffic/listing/page`
- [Amazon Traffic Sources](https://ecommercedataapi.com/en/docs/amazon/traffic/source): Retrieve traffic source composition for an ASIN or keyword. `POST /v1/amazon/traffic/source`

### Markets

- [Amazon Market Research](https://ecommercedataapi.com/en/docs/amazon/market/research): Research category markets with demand, competition, seller, and margin filters. `POST /v1/amazon/market/research`
- [Amazon Market Statistics](https://ecommercedataapi.com/en/docs/amazon/market/statistics): Retrieve summary statistics for an Amazon category market. `POST /v1/amazon/market/statistics`
- [Amazon Product Concentration](https://ecommercedataapi.com/en/docs/amazon/market/goods): Measure product concentration within an Amazon category. `POST /v1/amazon/market/goods`
- [Amazon Brand Concentration](https://ecommercedataapi.com/en/docs/amazon/market/brand): Measure brand concentration within an Amazon category. `POST /v1/amazon/market/brand`
- [Amazon Seller Concentration](https://ecommercedataapi.com/en/docs/amazon/market/seller): Measure seller concentration within an Amazon category. `POST /v1/amazon/market/seller`
- [Amazon Seller Type Distribution](https://ecommercedataapi.com/en/docs/amazon/market/seller/type): Retrieve fulfillment and seller-type distribution for a category. `POST /v1/amazon/market/seller/type`
- [Amazon Seller Country Distribution](https://ecommercedataapi.com/en/docs/amazon/market/seller/location): Retrieve seller-country distribution for a category. `POST /v1/amazon/market/seller/location`
- [Amazon Product Demand Trends](https://ecommercedataapi.com/en/docs/amazon/market/performance): Retrieve category-level product demand trends. `POST /v1/amazon/market/performance`
- [Amazon Listing Age Distribution](https://ecommercedataapi.com/en/docs/amazon/market/shelf/time): Retrieve listing-age distribution for a category. `POST /v1/amazon/market/shelf/time`
- [Amazon Listing Trends](https://ecommercedataapi.com/en/docs/amazon/market/shelf/trend): Retrieve listing growth and launch trends for a category. `POST /v1/amazon/market/shelf/trend`
- [Amazon Ratings Count Distribution](https://ecommercedataapi.com/en/docs/amazon/market/ratings): Retrieve ratings-count distribution for a category. `POST /v1/amazon/market/ratings`
- [Amazon Rating Distribution](https://ecommercedataapi.com/en/docs/amazon/market/rating): Retrieve star-rating distribution for a category. `POST /v1/amazon/market/rating`
- [Amazon Price Distribution](https://ecommercedataapi.com/en/docs/amazon/market/price): Retrieve product price distribution for a category. `POST /v1/amazon/market/price`
- [Amazon Listing Content Distribution](https://ecommercedataapi.com/en/docs/amazon/market/ebc): Retrieve A+ content and video adoption distribution for a category. `POST /v1/amazon/market/ebc`

### Global trademarks

- [Global Trademark Statistics](https://ecommercedataapi.com/en/docs/global/brand/stats): Retrieve aggregate trademark statistics by office and query text. `POST /v1/global/brand/stats`
- [Global Trademark Search](https://ecommercedataapi.com/en/docs/global/brand/list): Search trademark records across supported intellectual property offices. `POST /v1/global/brand/list`
- [Global Trademark Details](https://ecommercedataapi.com/en/docs/global/brand/detail): Retrieve a trademark record by office and identifier. `POST /v1/global/brand/detail`
- [Global Trademark Data Coverage](https://ecommercedataapi.com/en/docs/global/brand/range): List supported trademark offices and countries. `POST /v1/global/brand/range`

### Tools

- [Image Text Recognition](https://ecommercedataapi.com/en/docs/tools/image-text): Recognize Chinese or Latin text from an image URL, base64 input, or uploaded file. `POST /v1/tools/image-text`

## Rankings

Amazon rankings published from this API, each with its method and the exact request behind it: https://ecommercedataapi.com/en/rankings

- [Amazon Rising New Products](https://ecommercedataapi.com/en/rankings/new-products): Listings under six months old with the strongest 30-day sales. Latest issue 2026-10, public rows as CSV: https://ecommercedataapi.com/export/rankings/new-products/2026-10.csv. `POST /v1/amazon/product/research`
- [Amazon Category Opportunity Ranking](https://ecommercedataapi.com/en/rankings/category-opportunity): Niches with real demand, fragmented brands and room for new listings. Latest issue 2026-10, public rows as CSV: https://ecommercedataapi.com/export/rankings/category-opportunity/2026-10.csv. `POST /v1/amazon/market/research`
- [Amazon Q4 Holiday Demand Ranking](https://ecommercedataapi.com/en/rankings/q4-holiday): Search terms climbing steadily over the last 12 weeks. Latest issue 2026-10-17, public rows as CSV: https://ecommercedataapi.com/export/rankings/q4-holiday/2026-10-17.csv. `POST /v1/amazon/aba/research/weekly`
- [Amazon Rising Search Terms This Week](https://ecommercedataapi.com/en/rankings/aba-rising): Long-tail terms (10k–100k weekly searches) that climbed fastest this week. Latest issue 2026-10-17, public rows as CSV: https://ecommercedataapi.com/export/rankings/aba-rising/2026-10-17.csv. `POST /v1/amazon/aba/research/weekly`
- [Best-Selling Products on Amazon by Category](https://ecommercedataapi.com/en/rankings/best-sellers): Top sellers by estimated 30-day units across 25 categories. Latest issue 2026-10, public rows as CSV: https://ecommercedataapi.com/export/rankings/best-sellers/2026-10.csv. `POST /v1/amazon/product/research`
- [Best-Selling Bedding on Amazon](https://ecommercedataapi.com/en/rankings/bedding): Top bedding by estimated 30-day units, with new listings and sellers based in China. Latest issue 2026-10, public rows as CSV: https://ecommercedataapi.com/export/rankings/bedding/2026-10.csv. `POST /v1/amazon/product/research`
- [Best-Selling Kitchen & Dining Products on Amazon](https://ecommercedataapi.com/en/rankings/kitchen-dining): Top kitchen & dining products by estimated 30-day units, with new listings and sellers based in China. Latest issue 2026-10, public rows as CSV: https://ecommercedataapi.com/export/rankings/kitchen-dining/2026-10.csv. `POST /v1/amazon/product/research`
- [Best-Selling Toys on Amazon](https://ecommercedataapi.com/en/rankings/toys): Top toys by estimated 30-day units, with new listings and sellers based in China. Latest issue 2026-10, public rows as CSV: https://ecommercedataapi.com/export/rankings/toys/2026-10.csv. `POST /v1/amazon/product/research`
- [Best-Selling Pet Supplies on Amazon](https://ecommercedataapi.com/en/rankings/pet-supplies): Top pet supplies by estimated 30-day units, with new listings and sellers based in China. Latest issue 2026-10, public rows as CSV: https://ecommercedataapi.com/export/rankings/pet-supplies/2026-10.csv. `POST /v1/amazon/product/research`
- [Best-Selling Phone Accessories on Amazon](https://ecommercedataapi.com/en/rankings/phone-accessories): Top phone accessories by estimated 30-day units, with new listings and sellers based in China. Latest issue 2026-10, public rows as CSV: https://ecommercedataapi.com/export/rankings/phone-accessories/2026-10.csv. `POST /v1/amazon/product/research`
- [Past issues](https://ecommercedataapi.com/en/rankings/archive): every earlier issue at its own address, open in full and downloadable as CSV.
- [How the data works](https://ecommercedataapi.com/en/rankings/methodology): sources, update cadence, what each measure means and what it cannot show.

Guides that read these rankings, each showing the latest issue:

- [Amazon Brand Analytics Search Terms: How to Read Rank, Click Share and Entry Cost](https://ecommercedataapi.com/en/blog/amazon-brand-analytics-search-terms)
- [Amazon category analysis: four distributions decide whether you can still get in](https://ecommercedataapi.com/en/blog/amazon-category-analysis)
- [What to Stock for Q4 on Amazon: Reading 12 Weeks of Holiday Search Demand](https://ecommercedataapi.com/en/blog/amazon-holiday-search-demand)
- [Building an Amazon Niche Finder: What Each Filter Decides and What It Hides](https://ecommercedataapi.com/en/blog/amazon-niche-finder)
- [How to Find Products to Sell on Amazon: Eliminate Before You Discover](https://ecommercedataapi.com/en/blog/amazon-product-research-method)
- [Amazon Search Trends: How to Tell a Real Rise From a One-Week Spike](https://ecommercedataapi.com/en/blog/amazon-search-trends)
- [Best Products to Sell on Amazon for Beginners: Seven Filters for a First Product](https://ecommercedataapi.com/en/blog/best-amazon-products-for-beginners)
- [Chinese Sellers on Amazon: What the Top 100 New Products Show (October 2026)](https://ecommercedataapi.com/en/blog/chinese-sellers-on-amazon)

## Free tools

- [Amazon Sales Estimator](https://ecommercedataapi.com/en/tools/amazon-sales-estimator): convert a Best Sellers Rank to estimated monthly sales in any US top-level category, with a BSR-to-sales table per category. Free, no sign-up. `POST /v1/amazon/sales/prediction/bsr` for the same model by API.

## Amazon seller course (Chinese)

A free, structured Amazon operations course in Chinese, from beginner to advanced: the product-selection principles of the book 增长飞轮 (Growth Flywheel), calibrated to current Amazon rules, with each step practised on this API's data: https://ecommercedataapi.com/academy

- [课程导读：这套亚马逊运营课怎么学](https://ecommercedataapi.com/academy/start-here): 这门课是什么、给谁学、怎么学：3·2·1 选品心法、新手到高级三级、五段闭环、每节课的固定结构、新手 4 周学习节奏，以及本站网页工具、API、MCP 和 AI Skill 四种用法。
- [核心心法：3 个底层思想、2 个选品方法、1 个工具](https://ecommercedataapi.com/academy/core-principles): 选品是 3·2·1 的落点：用刚需制胜、田忌赛马、远离侵权三个思想判断产品，用 BSR 二阶选品法和店铺交叉选品法两个方法找产品，再用本站数据把每一步从感觉变成数字。
- [书里哪些规则 2026 年要更新](https://ecommercedataapi.com/academy/amazon-changes-2026): 两本书出版于 2020 年和 2023 年。这一页按发现与验证、上架与发布、获客与转化、运营与风控、衡量与决策五段，列出书中做法、2026 年现行做法和依据，并标明每条是官方公开页面核实的，还是公开直播里的经验口径。
- [亚马逊运营术语速查：ASIN、BSR、FBA、ACOS 等常用词的意思](https://ecommercedataapi.com/academy/glossary): 按平台与商品、排名与流量、广告、费用与利润、评价与品牌五组，解释新手最常遇到的亚马逊运营术语：是什么、最常见的误解，以及在本站哪里能看到对应的数据。
- [开店与账号安全：注册前备齐什么，第一周防什么](https://ecommercedataapi.com/academy/account-setup): 怎么备齐注册资料、怎么理解视频认证和账号关联、新卖家第一周在后台盯哪几项，以及为什么注册前要先把品牌名查清楚。结论：真实的主体、固定的环境、查过商标的品牌名，比任何注册技巧都管用。
- [底层思想一：刚需制胜，用数据判断买家要的是功能还是喜欢](https://ecommercedataapi.com/academy/rigid-demand): 刚需不是生活必需品，而是买家买它时要的是功能，不挑颜色、尺码和审美。本课把刚需拆成五个能用数据检查的问题，并用压蒜器类目的需求趋势、差评和款式数据走一遍。
- [底层思想二：田忌赛马，找到质量「刚刚好」的对位](https://ecommercedataapi.com/academy/tian-ji-horse-racing): 买家对不同商品的质量期望不一样，田忌赛马不是追求最好，而是让质量刚好够用、成本比对手低。本课用压蒜器的价格分布、评分和差评，教你找价格位置、质量底线和组合方式三处对位。
- [底层思想三：远离侵权，上架前的四类检查和一张排查记录](https://ecommercedataapi.com/academy/avoid-infringement): 侵权是选品的一票否决项：商标、专利、版权、盗图四类，各有一个上架前能做的检查动作。本课用压蒜器的商标和品牌词数据示范怎么读结果，并说明本站没有专利数据，专利要去公开专利库查。
- [选品方法一：BSR 二阶选品法](https://ecommercedataapi.com/academy/bsr-two-stage): 先用平台榜单定方向，再进细分类目头部 100 名锁定标杆和对手。以美国站压蒜器为例走一遍：头部 100 名月销合计 80,844 件、前 10 名占 58%，近 3 个月仍有 10 个新品进入，值得做第二阶。
- [选品方法二：店铺交叉选品法](https://ecommercedataapi.com/academy/store-cross-selection): 找几家优秀店铺，每家挑 2–3 款，交叉出共同的需求，再回到自己的商品。以压蒜器类目的头部店铺和 KITCHENDAO 为例，演示四条标准怎么用本站数据判断，以及为什么复制的只能是需求。
- [一个工具：用本站数据做一次完整选品分析](https://ecommercedataapi.com/academy/tool-analysis): 把刚需、田忌赛马、远离侵权、BSR 二阶和店铺交叉串成一次分析。以压蒜器为例，算出 $6.99 和 $13.99 两个价位的毛利和盈亏平衡价，最后写成一页「做或不做」。
- [关键词与 Listing：用消费者视角写标题和五点](https://ecommercedataapi.com/academy/listing-basics): 先用数据找出买家会搜、而且真会买的词，再按买家读页面的顺序写标题、五点和后台搜索词。附压蒜器的真实词表，以及 2026 年标题改版后的写法。
- [主图、副图与 A+ 入门](https://ecommercedataapi.com/academy/product-images): 主图只负责让人点进来，副图和 A+ 负责回答下单前的疑问。本课把压蒜器差评里的痛点翻译成一份 7 张图的需求单，并说明 2026 年含 AI 人物的图片要怎样标记。
- [新品启动：第一个广告与起步定价](https://ecommercedataapi.com/academy/launch-first-ads): 新品第一周只做两件事：用一个自动广告买曝光，用接近盈亏平衡的价格带转化。本课给出起步的预算、定价和判断线，并用压蒜器的数据说明为什么低价期不要硬加广告。
- [FBA 发货与首批备货](https://ecommercedataapi.com/academy/first-fba-shipment): 首批备货量不是凭感觉定的整数：用日销乘以覆盖天数再加安全库存，对照生产周期和头程时效，算出一个范围。本课用压蒜器新品的月销演示，并讲清 2026 年入库配置费、低库存费和超龄库存的坑。
- [每日 SOP 与第一个月复盘](https://ecommercedataapi.com/academy/daily-sop): 新品上线后每天看哪几个数、每周做哪几件事、第一个月怎么复盘。用压蒜器新品 2026-05 到 10 月的月度走势做一次复盘示范，并用 5 条总结整个新手篇。

## Limits

Sales and demand figures are estimates derived from public marketplace signals, not reported seller data. This API cannot return another seller’s orders, conversion rate, or advertising spend.

Errors and rate limits: https://ecommercedataapi.com/en/docs/errors-and-rate-limits