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Amazon product-search demand API

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

License: MIT PyPI

Key: trendsapi.ai/#get-key. Full contract: trendsapi-ai/trendsapi.

JS: trendsapi-amazon.

Install

pip install trendsapi-amazon
from trendsapi_amazon import TrendsAPI

client = TrendsAPI()  # TRENDSAPI_KEY
series = client.get_time_series("standing desk")
growth = client.get_growth("standing desk", percent_growth=["12M"])
hot = client.get_live(limit=10)

Keyword helpers default to source: "amazon". Override source= for any other platform. Official full client: trendsapi.

Call

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
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"}'

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).

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

License

MIT. See LICENSE.

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