TrendsAPI Py
БесплатноНе проверенOfficial Python client for Trends API (pip install trendsapi).
Описание
Official Python client for Trends API (pip install trendsapi).
README
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+.
from trendsapi import TrendsAPI
client = 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: 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.
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
import asyncio
from trendsapi import AsyncTrendsAPI
async def compare(term: str):
c = AsyncTrendsAPI()
return await asyncio.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
from dataclasses import asdict
import pandas as pd
from trendsapi import TrendsAPI
df = pd.DataFrame(asdict(p) for p in TrendsAPI().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.
Установить TrendsAPI Py в Claude Desktop, Claude Code, Cursor
unyly install trendsapi-pyСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add trendsapi-py -- uvx trendsapiПошаговые гайды: как установить TrendsAPI Py
FAQ
TrendsAPI Py MCP бесплатный?
Да, TrendsAPI Py MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для TrendsAPI Py?
Нет, TrendsAPI Py работает без API-ключей и переменных окружения.
TrendsAPI Py — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить TrendsAPI Py в Claude Desktop, Claude Code или Cursor?
Открой TrendsAPI Py на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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