Google Trends interest by country (pytrends 429 fix)
Argentin Vazdautan
Compares five programming languages (Python, JavaScript, TypeScript, Rust, Go) worldwide over 12 months and returns interest over time and interest by country as JSON. The same data pytrends returns from interest_over_time() and interest_by_region(), with a fix for pytrends' '429 Too Many Requests': requests are paced and retried after a pause, and failed keywords are free.
Input
Output fields
Sign up on Apify or log in
The Google Trends Scraper API & Trending Now Actor is ready to run with the inputs already set for "Google Trends interest by country (pytrends 429 fix)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Google Trends interest by country (pytrends 429 fix)" task
The Google Trends Scraper API & Trending Now Actor will start running based on the input automatically. You can also change all the input fields, like search terms, time range, and more, to match your specific use case.
Receive the "Google Trends interest by country (pytrends 429 fix)" 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 term, location, level, 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 interest by country (pytrends 429 fix)" task via API.
Integrate "Google Trends interest by country (pytrends 429 fix)" into your workflow
Connect "Google Trends interest by country (pytrends 429 fix)" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay