Google Trends Trending API
Scrape Google Trends Trending data with one API call. Returns what people in one country or region are searching for right now, with no keyword in: the Google Trends Trending Now list for a place and a time window. Each item has `rank` (Google's relevance position), `title`, `search_volume` (the lower bound of Google's bucket, so 50000 means 50K+), `increase_percent` (Google shows at most 1000), `started_at`, `ended_at` and `active` (still trending when `ended_at` is null), `categories`, `breakdown` (the related searches Google groups into the trend) and up to 3 `news` articles Google links to it. `total` counts every trend matching your filters before `limit`. Narrow with `hours`, `category` and `status`, and reorder with `sort`; these are the same filters trends.google.com/trending offers. Google publishes no worldwide list, so `location` is required. A place and window with nothing trending returns 404 at 0 credits; filters that match nothing return an empty list at 0 credits. Typically under 2 seconds; allow 30 seconds for the slow tail. Exact repeats within 5 minutes are served from cache at 0 credits.
Last updated September 2026Maintained by the SocialCrawl team
Returns the Google Trends Trending Now list for one country or region: each trend's search volume, increase, start and end time, categories, related searches, and linked news.
Use it to discover what a market is searching for right now without naming a keyword, filtered by time window, category, and active status.
Searching 65 platforms in parallel
What can you do with the Trending API?
The Trending endpoint gives you structured Google Trends data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/google_trends/trending?location=DE&hours=24"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/google_trends/trending",
params={
'location': 'DE',
'hours': '24',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/google_trends/trending?location=DE&hours=24",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| location | Yes | Where to read trends. An ISO country code ('DE', 'US', 'KR'), its English name ('Germany'), or an ISO 3166-2 region inside it ('DE-BY', 'US-CA', 'GB-SCT'). Google covers 125 countries and has no worldwide list; a country it does not cover is rejected with a free 400. |
| hours | No | Only trends that started in the past 4, 24, 48 or 168 hours (7 days). Defaults to 24. (4 | 24 | 48 | 168) |
| category | No | Keep trends Google tagged with this category: autos_and_vehicles, beauty_and_fashion, business_and_finance, climate, entertainment, food_and_drink, games, health, hobbies_and_leisure, jobs_and_education, law_and_government, other, pets_and_animals, politics, science, shopping, sports, technology, or travel_and_transportation. These are Trending Now's categories, not the numeric codes /v1/google_trends/explore takes. Defaults to every category. (autos_and_vehicles | beauty_and_fashion | business_and_finance | entertainment | food_and_drink | games | health | hobbies_and_leisure | jobs_and_education | law_and_government | other | pets_and_animals | politics | science | shopping | sports | technology | travel_and_transportation | climate) |
| status | No | `active` keeps only trends that are still trending. Defaults to `all`, which also returns trends that have already ended inside the window. (all | active) |
| sort | No | relevance (Google's own order, the default), search_volume (largest first), recency (most recently started first), or title (A to Z). (relevance | search_volume | recency | title) |
| limit | No | How many trends to return after filtering and sorting, 1 to 500. Defaults to 100. |
What does the Google Trends Trending API return?
This example shows the endpoint's response shape and fields. Values are illustrative; this is not a live capture.
Example response
{
"success": true,
"data": {
"items": [
{
"rank": 1,
"title": "judith und mel",
"search_volume": 50000,
"increase_percent": 1000,
"started_at": "2026-09-12T11:10:00.000Z",
"ended_at": null,
"active": true,
"categories": [
"entertainment"
],
"breakdown": [
"mel jersey",
"t online"
],
"news": [
{
"title": "Nach Herzinfarkt und Hausbrand: Schlagerstar schwer gestürzt",
"url": "https://www.t-online.de/unterhaltung/stars/id_101432554/judith-und-mel-nach-herzinfarkt-und-hausbrand-schlagerstar-gestuerzt.html",
"source": "T-Online",
"domain": "t-online.de",
"image_url": null,
"published_at": "2026-09-12T09:44:47.000Z"
}
]
}
],
"total": 431
}
}Illustrative fixture for the documented response shape. Values are examples, not a production capture.
How does the Google Trends Trending API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 65 platforms covering 10B+ monthly active users.
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Query 65 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.
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import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Ready to scrape Google Trends Trending data?
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