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Find Python Data Science Video Topics on YouTube

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.

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YouTube Search Suggestions Scraper
YouTube Search Suggestions Scraperdataspryva/youtube-search-suggestions-scraper
Suggestion
Seed
Type
Rank
+4 fields
Text
Number
Boolean
List
Object

Input

Seed queries(required):python data science
Expansion mode:questions
Language:en
Country or region:US
Maximum rows:50

Output fields

Suggestion
Seed
Type
Rank
Locale
Source
Suggestion type
Search url

How it works

Sign up on Apify or log in

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.

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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.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay

Frequently asked questions

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.