Google Trends API: Real-Time & Historical Data ($0.30/1k)
Pricing
from $0.30 / 1,000 result scrapeds
Extract real-time Google search trends, historical keyword interest, regional demand, and related queries without rate limits. Supports bulk keywords (up to 100), all-in-one multi-dataset runs, and flat JSON for AI Agents & MCP.
You can access the Google Trends API: Real-Time & Historical Data ($0.30/1k) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "keywords": [10 "OpenAI",11 "ChatGPT",12 ],13 "custom_timeframe": "2023-01-01 2023-12-31",14 "common_geo": "US",15}16
17# Run the Actor and wait for it to finish18run = client.actor("unitbytes/google-trends-api").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print(f"πΎ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")22for item in client.dataset(run.default_dataset_id).iterate_items():23 print(item)24
25# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Google Trends API: Real-Time & Historical Data ($0.30/1k) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: