Google Trending Searches
- hooli/google-trending-searches
- Modified
- Users 403
- Runs 12.4k
- Created by
Hooli
Scrape Trending Searches on Google Trends and extract data on daily search trends and related queries. Set country, time frame, and max number of results. No limits or quotas.
To run the code examples, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token. For a more detailed explanation, please read about running Actors via the API in Apify Docs.
from apify_client import ApifyClient
# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")
# Prepare the Actor input
run_input = {
"geo": "US",
"outputMode": "complete",
"fromDate": "today",
"toDate": "3 days",
"maxItems": 100,
"proxy": { "useApifyProxy": True },
"extendOutputFunction": """async ({ data, item, request, customData, fromDate, toDate, Apify }) => {
return item;
}""",
"extendScraperFunction": """async ({ data, item, request, addUrl, customData, fromDate, toDate, extendOutputFunction, Apify }) => {
}""",
"customData": {},
}
# Run the Actor and wait for it to finish
run = client.actor("hooli/google-trending-searches").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
