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Google Trends Trending Realtime API Documentation

The Google Trends Trending Realtime API provides developers with access to real-time search data. It allows for the retrieval of trending topics, search queries, related articles, and more, using the /api/v1/search?engine=google_trends_trending_realtime endpoint.

API Parameters

Localization

  • Name
    geo
    Required
    Optional
    Description

    Specifies the geographical area for the search, with the default set to US. For a full list of supported locations, refer to the Google Trends Trending geo locations.

Filters

  • Name
    category
    Required
    Optional
    Description

    Specifies the category for the search. Available options:

    • all - All Categories. (Default)
    • b - Business.
    • e - Entertainment.
    • m - Health.
    • t - Sci/Tech.
    • s - Sports.
    • h - Top Stories.

Pagination

  • Name
    next_page_token
    Required
    Optional
    Description

    Specifies a token for pagination, allowing you to retrieve the next set of realtime trends.

Engine

  • Name
    engine
    Required
    Required
    Description

    Parameter defines an engine that will be used to retrieve real-time data. It must be set to google_trends_trending_realtime.

API key

  • Name
    api_key
    Required
    Required
    Description

    The api_key authenticates your requests. Use it as a query parameter (https://www.searchapi.io/api/v1/search?api_key=YOUR_API_KEY) or in the Authorization header (Bearer YOUR_API_KEY).

API Examples

Real Time Trends

Real Time Trends

  • Upon the initial request for real-time trends, ensure to save all returned next_page_token values. These tokens are crucial for accessing subsequent pages of data.
  • For retrieving the next set of trends, invoke the API with the next_page_token included as a query parameter in your request. This ensures you navigate through the paginated results correctly.
  • Each request for pagination may return a varying number of trending real-time searches. Within these results, each trend is uniquely identified by an id, such as US_lnk_cmentQAAAADVUM_en, ensuring precise identification and tracking of trends.
  • Be aware that the first request using a next_page_token might include duplicate entries. It's recommended to deduplicate the data based on the id of each trend to ensure uniqueness in your dataset.

GET
https://www.searchapi.io/api/v1/search?engine=google_trends_trending_realtime&geo=US
Request
import requests

url = "https://www.searchapi.io/api/v1/search"
params = {
  "engine": "google_trends_trending_realtime",
  "geo": "US"
}

response = requests.get(url, params = params)
print(response.text)
Response
{
  "search_metadata": {
    "id": "search_8qWVwGvboYPYTAZ2gmDQJaN4",
    "status": "Success",
    "created_at": "2024-04-04T10:23:02Z",
    "request_time_taken": 1.43,
    "parsing_time_taken": 0.02,
    "total_time_taken": 1.45,
    "request_url": "https://trends.google.com/trends/api/realtimetrends?geo=US&hl=en-US&cat=all&fi=0&fs=0&ri=300&rs=20&sort=0&tz=-420",
    "html_url": "https://www.searchapi.io/api/v1/searches/search_8qWVwGvboYPYTAZ2gmDQJaN4.html",
    "json_url": "https://www.searchapi.io/api/v1/searches/search_8qWVwGvboYPYTAZ2gmDQJaN4"
  },
  "search_parameters": {
    "engine": "google_trends_trending_realtime",
    "geo": "US",
    "category": "all"
  },
  "realtime_trends": [
    {
      "id": "US_lnk_cmentQAAAADVUM_en",
      "title": "Maine, Power outage, Central Maine Power Company",
      "link": "https://trends.google.com/trends/trendingsearches/realtime?id=US_lnk_cmentQAAAADVUM_en&category=all&geo=US#US_lnk_cmentQAAAADVUM_en",
      "queries": ["Maine", "Power outage", "Central Maine Power Company"],
      "entity_links": [
        {
          "id": "/m/01rbhn",
          "link": "https://trends.google.com/trends/explore?q=/m/01rbhn&date=now+7-d&geo=US"
        }
      ],
      "articles": [
        {
          "title": "Thousands without power as spring nor'easter lashes Maine",
          "link": "https://www.wmtw.com/article/thousands-without-power-spring-storm-lashes-maine-cmp-versant/60390374",
          "snippet": "A powerful storm moved into Maine Wednesday evening and started picking up \novernight into Thursday, bringing heavy snow and strong winds to...",
          "date": "1 hour ago",
          "source": "WMTW"
        }
        ...
      ],
      "image": {
        "link": "https://www.wmtw.com/article/thousands-without-power-spring-storm-lashes-maine-cmp-versant/60390374",
        "source": "WMTW",
        "thumbnail": "https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcRUcp9yMB7MWVy1Bl-CTH7o3eNdkVTfGt0nGfBp7PJl2IAI-Zl5CqacGiACvR8"
      }
    }
    ...
  ],
  "pagination": {
    "next_pages": [
      {
        "next_page_token": "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"
      }
      ...
    ]
  }
}