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Google Trends in Python without pytrends 429 errors

Interest over time, interest by US state and top and rising related queries for python, rust and golang over the past 12 months, one row per term. The same outputs as pytrends' interest_over_time, interest_by_region and related_queries, read from Python with apify-client. $1.90 per 1,000 terms on the free plan; terms with no data are free.

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Google Trends Scraper & API: pytrends Alternative
Google Trends Scraper & API: pytrends Alternativehiver/google-trends-scraper
Search term
Compared with
Geo
Time range
+10 fields
Text
Number
Boolean
List
Object

Input

Search terms:python+2
Country or region:US
Time range:today 12-m
What to collect for each term:interestOverTime+2

Output fields

Search term
Compared with
Geo
Time range
Category
Search type
Average interest
Peak
Interest over time
Interest by region
Related queries
Related topics
Warnings
Error

How it works

Sign up on Apify or log in

The Google Trends Scraper & API: pytrends Alternative Actor is ready to run with the inputs already set for "Google Trends in Python without pytrends 429 errors". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google Trends in Python without pytrends 429 errors" task

The Google Trends Scraper & API: pytrends Alternative Actor will start running based on the input automatically. You can also change all the input fields, like search terms, country or region, and more, to match your specific use case.

Receive the "Google Trends in Python without pytrends 429 errors" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as search term, compared with, geo, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Google Trends in Python without pytrends 429 errors" task via API.

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