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
| 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())
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. valueis 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. GitHub: trendsapi-ai/google-trends-api.
License
MIT. See LICENSE.
Metadata
Release files for google-trends-client 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| google_trends_client-1.0.2.tar.gz | 5.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| google_trends_client-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.4 kB
Release files / google_trends_client-1.0.2.tar.gz
| Download URL | google_trends_client-1.0.2.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fd83806963a2aab76305ed3e064243d430e2e56e29f8a4e304e49a5901051405
|
|
BLAKE2b-256 checksum How to use checksums |
5b303c1471fb46e2d613106c89120d82a55c99c00cbef78ebcde4acf06dd4492
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.2
|
Release files / google_trends_client-1.0.2-py3-none-any.whl
| Download URL | google_trends_client-1.0.2-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
365a0977c35a7f0dc2ca0e0e56b3bf3473da92d2c71577da54ce13d2399e7b05
|
|
BLAKE2b-256 checksum How to use checksums |
ddd2197b63aa438eaed997c3258e36c9d46da830aae056d06b0544beb1cde84b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.2
|