Amazon Trends API

Amazon product search volume and best-seller trends. Free key at trendsapi.ai

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "amazon-trends-api-2": {
      "command": "uvx",
      "args": [
        "trendsapi-amazon"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Amazon product-search demand API

Amazon search interest and bestseller feeds via the Trends API. Ecommerce research without scrapers.

Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.

Authentication

Terminal

pip install trendsapi-amazon
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

server.ts

from trendsapi_amazon import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

Keyword helpers default to source: "amazon". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.

Methods

Method	REST `mode`	Returns
`get_time_series(keyword, source=, data_mode=)`	`get_time_series`	`list[TrendsDataPoint]`
`get_growth(keyword, percent_growth=, source=, data_mode=)`	`get_growth`	`GetGrowthResponse`
`get_live(limit=, offset=, category=)`	`get_top_trends`	`GetTopTrendsResponse`
`get_top_trends(type=, ...)`	`get_top_trends`	`GetTopTrendsResponse`

source is lowercase (amazon). type is exact (Amazon Best Sellers Top Rated). Mixing them is a 400.

server.ts

from trendsapi_amazon import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

series = client.get_time_series("standing desk")
print(series[-1].date, series[-1].value)

growth = client.get_growth("standing desk", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)

hot = client.get_live(limit=10)
print(hot.data)                         # [[1, "..."], ...]

get_time_series

python

points = client.get_time_series("standing desk")

Each point:

Field	Always	Meaning
`date`	yes	`YYYY-MM-DD`
`value`	yes	0-100 index for this series
`keyword`	yes	Echo
`volume`	no	Absolute volume when available
`source` or `datatype`	no	Pipeline label

Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"]. JS returns the same fields as object properties.

get_growth

python

g = client.get_growth("standing desk", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

percent_growth default: ["12M"]. Presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M/1Y 18M 24M/2Y 36M/3Y 48M 60M/5Y MTD QTD YTD. Custom: {"name": "Launch", "recent": "2024-06-01", "baseline": "2024-01-01"}.

Field	Meaning
`search_term`	Keyword
`data_source`	Source
`results`	One object per window (`period`, `growth`, `direction`, dates, values)
`metadata`	Counts / success flag

Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.

get_live

python

hot = client.get_live(limit=10)

Field	Meaning
`as_of_ts`	Snapshot time
`type`	Feed name
`limit`, `offset`, `count`	Pagination
`data`	`[rank, label]` rows

Python: hot.data. JS: hot.data. Optional offset= and category= (Amazon Best Sellers by Category, Top Websites only).

Async

server.ts

import asyncio
from trendsapi_amazon import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("standing desk"),
        c.get_time_series("standing desk", source="google search"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

server.ts

from dataclasses import asdict
import pandas as pd
from trendsapi_amazon import TrendsAPI

df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("standing desk"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

JavaScript / TypeScript

Terminal

npm install trendsapi-amazon

Node 18+, Deno, Bun, Workers. Same API key. Field tables above apply.

Methods

Method	REST `mode`	Returns
`getTimeSeries(keyword, { source, data_mode })`	`get_time_series`	weekly points
`getGrowth(keyword, { percent_growth, source, data_mode })`	`get_growth`	growth object
`getLive({ limit, offset, category })`	`get_top_trends`	live feed
`getTopTrends({ type, ... })`	`get_top_trends`	live feed

server.ts

import { TrendsAPI } from "trendsapi-amazon";

const client = new TrendsAPI({ apiKey: process.env.TRENDSAPI_KEY! });
const series = await client.getTimeSeries("standing desk");
console.log(series.at(-1)?.date, series.at(-1)?.value);

const growth = await client.getGrowth("standing desk", {
  percent_growth: ["3M", "12M"],
});
console.log(growth.results[0].growth, growth.results[0].direction);

const live = await client.getLive({ limit: 10 });
console.log(live.data);                 // [[1, "..."], ...]

Call (curl)

Field	Value
Endpoint	`POST https://api.trendsapi.ai/api`
Auth	`Authorization: Bearer $TRENDSAPI_KEY`
History	`source: amazon` with `get_time_series` or `get_growth`
Keyword	Product phrase, e.g. standing desk
Live `type`	Amazon Best Sellers Top Rated, Amazon Best Sellers by Category

Terminal

curl -sS -X POST https://api.trendsapi.ai/api \
  -H "Authorization: Bearer $TRENDSAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"mode":"get_time_series","source":"amazon","keyword":"standing desk"}'

Source notes

value is a 0-100 search-interest index, not units sold.
Feeds answer what is selling now. Keyword series answer what is searched.
Google Shopping is a different source (google shopping).

Errors

HTTP	Client
200	Parsed payload. Python dataclasses / JS typed objects
400	Raises. Fix `source` or `type` spelling
401	Raises. Check `TRENDSAPI_KEY`
404	Raises. No series for that keyword. Do not retry
429	Raises. Quota
5xx	Client retries, then raises

The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.

Site: https://trendsapi.ai/trends/amazon-trends.

License

MIT. See LICENSE.

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Amazon Trends API

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "amazon-trends-api": { "command": "npx", "args": ["-y", "Amazon Trends API"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

39Quality signal: Fair · 39/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools15/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3h ago via OSV.dev · trendsapi-amazon (PyPI)

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Amazon Trends API →Install in Claude Desktop Install in Cursor Install in VS Code

Amazon Trends API

Amazon product search volume and best-seller trends. Free key at trendsapi.ai

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "amazon-trends-api-2": {
      "command": "uvx",
      "args": [
        "trendsapi-amazon"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Amazon product-search demand API

Amazon search interest and bestseller feeds via the Trends API. Ecommerce research without scrapers.

Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.

Authentication

Terminal

pip install trendsapi-amazon
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

server.ts

from trendsapi_amazon import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

Keyword helpers default to source: "amazon". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.

Methods

Method	REST `mode`	Returns
`get_time_series(keyword, source=, data_mode=)`	`get_time_series`	`list[TrendsDataPoint]`
`get_growth(keyword, percent_growth=, source=, data_mode=)`	`get_growth`	`GetGrowthResponse`
`get_live(limit=, offset=, category=)`	`get_top_trends`	`GetTopTrendsResponse`
`get_top_trends(type=, ...)`	`get_top_trends`	`GetTopTrendsResponse`

source is lowercase (amazon). type is exact (Amazon Best Sellers Top Rated). Mixing them is a 400.

server.ts

from trendsapi_amazon import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

series = client.get_time_series("standing desk")
print(series[-1].date, series[-1].value)

growth = client.get_growth("standing desk", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)

hot = client.get_live(limit=10)
print(hot.data)                         # [[1, "..."], ...]

get_time_series

python

points = client.get_time_series("standing desk")

Each point:

Field	Always	Meaning
`date`	yes	`YYYY-MM-DD`
`value`	yes	0-100 index for this series
`keyword`	yes	Echo
`volume`	no	Absolute volume when available
`source` or `datatype`	no	Pipeline label

Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"]. JS returns the same fields as object properties.

get_growth

python

g = client.get_growth("standing desk", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

Field	Meaning
`search_term`	Keyword
`data_source`	Source
`results`	One object per window (`period`, `growth`, `direction`, dates, values)
`metadata`	Counts / success flag

Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.

get_live

python

hot = client.get_live(limit=10)

Field	Meaning
`as_of_ts`	Snapshot time
`type`	Feed name
`limit`, `offset`, `count`	Pagination
`data`	`[rank, label]` rows

Python: hot.data. JS: hot.data. Optional offset= and category= (Amazon Best Sellers by Category, Top Websites only).

Async

server.ts

import asyncio
from trendsapi_amazon import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("standing desk"),
        c.get_time_series("standing desk", source="google search"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

server.ts

from dataclasses import asdict
import pandas as pd
from trendsapi_amazon import TrendsAPI

df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("standing desk"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

JavaScript / TypeScript

Terminal

npm install trendsapi-amazon

Node 18+, Deno, Bun, Workers. Same API key. Field tables above apply.

Methods

Method	REST `mode`	Returns
`getTimeSeries(keyword, { source, data_mode })`	`get_time_series`	weekly points
`getGrowth(keyword, { percent_growth, source, data_mode })`	`get_growth`	growth object
`getLive({ limit, offset, category })`	`get_top_trends`	live feed
`getTopTrends({ type, ... })`	`get_top_trends`	live feed

server.ts

import { TrendsAPI } from "trendsapi-amazon";

const client = new TrendsAPI({ apiKey: process.env.TRENDSAPI_KEY! });
const series = await client.getTimeSeries("standing desk");
console.log(series.at(-1)?.date, series.at(-1)?.value);

const growth = await client.getGrowth("standing desk", {
  percent_growth: ["3M", "12M"],
});
console.log(growth.results[0].growth, growth.results[0].direction);

const live = await client.getLive({ limit: 10 });
console.log(live.data);                 // [[1, "..."], ...]

Call (curl)

Field	Value
Endpoint	`POST https://api.trendsapi.ai/api`
Auth	`Authorization: Bearer $TRENDSAPI_KEY`
History	`source: amazon` with `get_time_series` or `get_growth`
Keyword	Product phrase, e.g. standing desk
Live `type`	Amazon Best Sellers Top Rated, Amazon Best Sellers by Category

Terminal

curl -sS -X POST https://api.trendsapi.ai/api \
  -H "Authorization: Bearer $TRENDSAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"mode":"get_time_series","source":"amazon","keyword":"standing desk"}'

Source notes

value is a 0-100 search-interest index, not units sold.
Feeds answer what is selling now. Keyword series answer what is searched.
Google Shopping is a different source (google shopping).

Errors

HTTP	Client
200	Parsed payload. Python dataclasses / JS typed objects
400	Raises. Fix `source` or `type` spelling
401	Raises. Check `TRENDSAPI_KEY`
404	Raises. No series for that keyword. Do not retry
429	Raises. Quota
5xx	Client retries, then raises

The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.

Site: https://trendsapi.ai/trends/amazon-trends.

License

MIT. See LICENSE.

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Amazon Trends API

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "amazon-trends-api": { "command": "npx", "args": ["-y", "Amazon Trends API"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/amazon-trends-api-2?style=directory)](https://allmcps.com/mcp/amazon-trends-api-2)

HTML Embed

<a href="https://allmcps.com/mcp/amazon-trends-api-2"><img src="https://allmcps.com/api/badge/amazon-trends-api-2?style=directory" alt="Amazon Trends API on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

39Quality signal: Fair · 39/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools15/30

Adoption & activity4/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3h ago via OSV.dev · trendsapi-amazon (PyPI)

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Amazon Trends API →Install in Claude Desktop Install in Cursor Install in VS Code