# Find Python Data Science Video Topics on YouTube

**Use case:** 

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

```json
{
  "queries": [
    "python data science"
  ],
  "mode": "questions",
  "source": "youtube",
  "language": "en",
  "market": "US",
  "maxItems": 50,
  "maxSuggestionsPerSeed": 3,
  "maxQueriesPerSeed": 300,
  "expansionDepth": 0,
  "dedupeAcrossSeeds": false,
  "excludeTerms": [],
  "minWordCount": 0,
  "onlyQuestions": false,
  "mustContainSeed": false,
  "includeEntityCards": true,
  "includeSearchUrl": true
}
```

## Output

```json
{
  "suggestion": {
    "label": "Suggestion"
  },
  "seed": {
    "label": "Seed"
  },
  "type": {
    "label": "Type"
  },
  "rank": {
    "label": "Rank"
  },
  "locale": {
    "label": "Locale"
  },
  "source": {
    "label": "Source"
  },
  "suggestionType": {
    "label": "Suggestion type"
  },
  "searchUrl": {
    "label": "Search url"
  }
}
```

## How it works

### 1. 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](https://console.apify.com/create-task-from-example/9k8ddcvDwmtG0Z9U4) and you'll land in Apify Console with a copy of this exact task.

### 2. 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.

### 3. 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.

### 4. 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](https://apify.com/dataspryva/youtube-search-suggestions-scraper.md).

## FAQ

### What does the YouTube autocomplete data include?

The Python data science task returns public YouTube suggestions with phrase, rank, type, locale, source, suggestionType and searchUrl fields.

### How many Python data science suggestions can one run return?

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.

### Can I export the YouTube suggestions to CSV or Excel?

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.

### Do I need a YouTube login, API key or cookies to get autocomplete suggestions?

The Python data science task reads YouTube’s public autocomplete response; it needs no YouTube account, API key, cookies or user-supplied proxy.

### Can I change the keyword, language or country for YouTube suggestions?

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.

### Can I schedule YouTube autocomplete research or run it through an API?

Run the Python data science task on a schedule, through the Apify API, or from integrations such as Zapier, Make and n8n.

### Can I use YouTube autocomplete suggestions for SEO and video planning?

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.

## About this Actor

This example demonstrates how to use [YouTube Search Suggestions Scraper](https://apify.com/dataspryva/youtube-search-suggestions-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataspryva/youtube-search-suggestions-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dataspryva/youtube-search-suggestions-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).