Google Trends API

Python client for Google Trends data via the Trends API. Normalized 0-100 scores, history + growth, free tier. Not a scraper.

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

JS: google-trends-js, google-trends-node, google-trends-client.

Authentication

pip install google-trends-client
export TRENDSAPI_KEY=your_key

Python 3.9+. The wrapper re-exports TrendsAPI, AsyncTrendsAPI, and TrendsAPIError from the official client.

from google_trends_client import TrendsAPI

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

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

Methods

source is lowercase (google search). type is exact (Google Trends). Mixing them is a 400.

from google_trends_client import TrendsAPI

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

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

growth = client.get_growth("heat pump", 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

points = client.get_time_series("heat pump")

Each point:

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

get_growth

g = client.get_growth("heat pump", 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"}.

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

get_live

hot = client.get_live(limit=10)

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

Async

import asyncio
from google_trends_client import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("heat pump"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

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

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

Call (curl)

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":"google search","keyword":"heat pump"}'

Source notes

• Related sources (same endpoint, different source): google images, google news, google shopping.
• value is 0-100 for this term on Google web search, not Ads impressions.

Errors

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

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

License

MIT. See LICENSE.