Find Python Data Science Video Topics on YouTube
Dataspryva
Discover YouTube autocomplete search questions for Python data science tutorials and content planning. Designed for tech creators, educators, and SEO strategists. Returns live search phrases with rank, type, wordCount, isQuestion, and ready-to-open searchUrl. Change the queries array or expansion mode to discover new keyword ideas for any video niche.
Input
Output fields
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The YouTube Search Suggestions Scraper Actor is ready to run with the inputs already set for "Find Python Data Science Video Topics on YouTube". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Find Python Data Science Video Topics on YouTube" task
The YouTube Search Suggestions Scraper Actor will start running based on the input automatically. You can also change all the input fields, like seed queries, expansion mode, and more, to match your specific use case.
Receive the "Find Python Data Science Video Topics on YouTube" 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 suggestion, seed, type, 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 "Find Python Data Science Video Topics on YouTube" task via API.

Integrate "Find Python Data Science Video Topics on YouTube" into your workflow
Connect "Find Python Data Science Video Topics on YouTube" with 100+ integrations, or run it via API or MCP.
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The Python data science task returns public YouTube suggestions with phrase, rank, type, locale, source, suggestionType and searchUrl fields.
With this setup, the Python data science task returns at most 50 rows. YouTube returns up to 14 suggestions per query, with no pagination or parameter to raise that limit.
Download the Python data science task’s dataset as CSV, Excel, JSON, XML, RSS or an HTML table, or read it through the Apify API.
The Python data science task reads YouTube’s public autocomplete response; it needs no YouTube account, API key, cookies or user-supplied proxy.
Use the Python data science task’s input to change the seed queries, expansion mode, language, market or result cap; suggestions are localized to the requested language and country.
Run the Python data science task on a schedule, through the Apify API, or from integrations such as Zapier, Make and n8n.
The Python data science task collects ranked search phrases for keyword research and video planning, including question-style suggestions; it does not provide search volume or competition metrics.