trendsapi (Python)

Official Python client for Trends API. Three methods. Decoded payloads. You never parse the HTTP body string.

HTTP contract and field tables: trendsapi-ai/trendsapi.

Authentication

pip install trendsapi
export TRENDSAPI_KEY=your_key

Key: trendsapi.ai/#get-key. Python 3.9+.

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

Methods

Method	REST mode	Required arguments	Returns
get_time_series	get_time_series	source, keyword	list[TrendsDataPoint]
get_growth	get_growth	source, keyword	GetGrowthResponse
get_top_trends	get_top_trends	type	GetTopTrendsResponse

weekly=client.get_time_series(source="google search", keyword="solar battery")
growth=client.get_growth(source="amazon", keyword="solar battery", percent_growth=["3M", "12M"])
now=client.get_top_trends(type="Google Trends", limit=10)

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

get_time_series

points=client.get_time_series(source="google search", keyword="bitcoin")
print(points[-1].date, points[-1].value)

Python returns dataclasses. Use .date / .value, not ["date"].

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

get_growth

g=client.get_growth(source="google search", keyword="nike", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

percent_growth default: ["12M"]. Presets: 7D14D30D1M2M3M6M9M12M/1Y18M24M/2Y36M/3Y48M60M/5YMTDQTDYTD. 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.

get_top_trends

chart=client.get_top_trends(type="TikTok Trending Hashtags", limit=10)
# chart.data == [[1, "matcha"], ...]

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

Optional offset=, category= (Amazon Best Sellers by Category, Top Websites only).

Keyword sources

Pass as source=. Full notes: hub README.

source	keyword
google search, google images, google news, google shopping	Any phrase
youtube	Any phrase
tiktok	Hashtag or topic
reddit	Subreddit, no r/
amazon	Product phrase
wikipedia	Article title
news volume, news sentiment	Any phrase
app downloads, app rankings	Android bundle ID (com.openai.chatgpt)
npm	Exact package name
steam	Game display name

Live feeds

Pass as type= on get_top_trends. Exact strings: Google Trends, Google News Top News, TikTok Trending Hashtags, TikTok Trending Searches, TikTok Shop Hot Products, YouTube Trending, X (Twitter) Trending, Reddit Hot Posts, Reddit World News, Wikipedia Trending, Amazon Best Sellers Top Rated, Amazon Best Sellers by Category, App Store Top Free, App Store Top Paid, Google Play, Top Websites, Spotify Top Podcasts, Steam Most Played, GitHub Trending Repos, IMDb MOVIEmeter, Open Library Trending Books.

Async

importasynciofromtrendsapiimportAsyncTrendsAPIasyncdefcompare(term: str):
c=AsyncTrendsAPI()
returnawaitasyncio.gather(
c.get_time_series(source="google search", keyword=term),
c.get_time_series(source="google shopping", keyword=term),
c.get_time_series(source="wikipedia", keyword=term),
)
asyncio.run(compare("solar battery"))

Each 200 is one billed request.

Pandas

fromdataclassesimportasdictimportpandasaspdfromtrendsapiimportTrendsAPIdf=pd.DataFrame(asdict(p) forpinTrendsAPI().get_time_series(source="google search", keyword="solar battery"))
df["date"] =pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

Errors

Code	Client
200	Returns parsed payload
400	Raises. Fix source / type
401	Raises. Check TRENDSAPI_KEY
404	Raises. No series. Do not retry
429	Raises. Quota
5xx	Retries, then raises

Raw requests (second parse required): see hub, Raw HTTP.

License

MIT. See LICENSE.