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 and every source: trendsapi-ai/trendsapi.

Authentication

pip install google-trends-client
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

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

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 (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:

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

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"}.

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

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

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())

JavaScript / TypeScript

npm install google-trends-js

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

Also published as google-trends-node, google-trends-client. Same client, different package name.

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

import { TrendsAPI } from "google-trends-js";

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

const growth = await client.getGrowth("heat pump", {
  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: google search with get_time_series or get_growth
Keyword	Any phrase, e.g. heat pump
Live type	Google Trends

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

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/google-trends.

License

MIT. See LICENSE.