Youtube Video Scraper By Hashtag

Youtube Video Scraper By Hashtag

Youtube Video Scraper By Hashtag is a no-code YouTube hashtag video scraper that finds and extracts videos from YouTube search results using hashtags, keywords, or usernames. It solves the manual effort of digging through hashtag pages by automating pagination, de-duplicating results, and returning clean, structured records. Built for marketers, developers, data analysts, and researchers, this YouTube hashtag extractor enables trend discovery, SEO analysis, and content planning at scale.

What is Youtube Video Scraper By Hashtag?

This is a specialized YouTube data scraper by hashtag that collects video metadata from public YouTube search pages based on your list of tags or keywords. It helps you scrape YouTube videos by hashtag with automatic pagination and proxy fallback so you can build datasets quickly and reliably. Ideal for SEO teams, content strategists, growth marketers, competitive intelligence analysts, and developers who want a YouTube hashtag search scraper without API keys or browser extensions. At scale, it powers workflows like hashtag-driven trend tracking, Shorts discovery, and downstream analytics.

What data / output can you get?

Below are the exact fields this YouTube hashtag crawler outputs to the Apify dataset. You can export results to JSON or CSV directly from Apify.

Data field	Description	Example value
thumbnailUrl	URL of the video thumbnail image	https://i.ytimg.com/vi/f2mRAGvKca8/hq720.jpg
title	Title of the video	How To Use ChatGPT in Bengali
id	YouTube video ID	f2mRAGvKca8
url	Full video URL (watch or shorts)	https://www.youtube.com/watch?v=f2mRAGvKca8
viewCount	View count as an integer (best-effort parsed)	1224495
type	Video type: "video" or "shorts"	video
hashtagCategoryData.categoryInfoText	Category info text found on hashtag/search (when available)	1.9M videos • 577K channels

Note: Category info text is attached to each item when found. Use Apify’s export options to download as JSON or CSV.

Key features

• 🚀 Bulk hashtag scraping Scrape multiple hashtags, keywords, or usernames in a single run. Ideal for large-scale monitoring and batch workflows with a YouTube hashtag search scraper.

• 🎯 Shorts-only filtering Use scrapeShortsOnly to collect only YouTube Shorts. Perfect for Shorts trend tracking with a YouTube shorts hashtag scraper.

• 🔁 Smart proxy fallback Built-in resilience: starts with no proxy, then automatically falls back to datacenter and residential proxies (with retries) if blocked.

• 📜 Deep pagination with continuation tokens Follows YouTube continuation tokens to traverse beyond the initial results and capture more data from hashtag search pages.

• 🧹 Duplicate detection Prevents duplicate video IDs within a run to keep your dataset clean and analytics-ready.

• 🔎 Detailed logging & reliability Transparent progress logs and robust retry logic improve success rates for a stable YouTube hashtag scraping tool.

• 🧰 Developer-friendly Works seamlessly with Apify’s SDK and API in your own stack (great fit for Python YouTube hashtag scraper workflows). Build an automated pipeline or connect to n8n/Make/Zapier.

• 💾 Easy data export Export YouTube videos by hashtag to CSV or JSON for reporting, BI tools, and data science workflows.

How to use Youtube Video Scraper By Hashtag - step by step

1. Create or log in to your Apify account.
2. Open the “youtube-video-scraper-by-hashtag” actor in the Apify Console.
3. Click “Run” and configure inputs:
   • Enter hashtags, keywords, or usernames in hashtags (string list). You can paste multiple values to run in bulk.
   • Set maxResults per hashtag (limit per tag).
   • Toggle scrapeShortsOnly to collect only Shorts if needed.
   • Configure proxyConfiguration (optional). By default, no proxy is used.
4. Start the run.
5. Monitor live logs to follow progress, pagination, and any proxy fallback events.
6. When the run finishes, open the Dataset tab to view results.
7. Export the dataset to JSON or CSV for use in your tools and dashboards.
8. Pro Tip: Use the Apify API to trigger runs and pull datasets into ETL pipelines for a fully automated, no-code YouTube hashtag scraper workflow.

Use cases

Use case	Description
SEO research by hashtag	Analyze topic popularity and discover high-performing videos around target keywords or tags to guide content and metadata strategy.
Content planning for marketing	Identify trending videos and formats, then plan your next uploads based on what’s working in your niche.
Competitor monitoring	Track videos tied to competitors’ branded hashtags or target keywords to benchmark performance.
Shorts trend tracking	Focus on short-form content by enabling Shorts-only mode to spot fast-moving trends.
Data enrichment pipeline (API)	Feed structured video records into BI/ETL systems via the Apify API for automated reporting.
Academic and market research	Collect large-scale public video metadata for studies on virality, attention, and topic diffusion.
Social listening for brand tags	Monitor brand or campaign hashtags for visibility and engagement signals across video content.

Why choose Youtube Video Scraper By Hashtag?

A production-ready, reliable YouTube hashtag search results scraper that emphasizes accuracy, scale, and automation.

• ✅ Precision-first extraction: Returns clean, structured fields from public YouTube results.
• 🌍 No-code and developer-ready: Use in the Apify Console or integrate via API/Python for automation.
• 📈 Scales with your needs: Bulk inputs and continuation token handling deliver large datasets.
• 🔐 Resilient by design: Automatic proxy fallback (no proxy → datacenter → residential) with retries.
• 🧩 Easy integration: Export to JSON/CSV and connect to automation tools for downstream workflows.
• 🛡️ Safer than extensions: Avoid brittle browser extensions; run on Apify’s production infrastructure.
• 💸 Cost-effective operations: Run reliably at scale without managing infrastructure or API quotas.

In short, this YouTube hashtag scraper without API requirements balances robustness and ease of use for both no-code teams and engineers.

Is it legal / ethical to use Youtube Video Scraper By Hashtag?

Yes—when used responsibly. This actor collects data from publicly available YouTube pages only and does not access private or authenticated content.

Guidelines to follow:

• Scrape only public information and respect YouTube’s Terms of Service.
• Comply with applicable regulations (e.g., GDPR/CCPA) and internal policies.
• Use proxies responsibly to avoid overloading services.
• Consult your legal team for edge cases and jurisdiction-specific questions.

Input parameters & output format

Example JSON input

{
  "hashtags": ["chatgpt", "Bangladesh"],
  "maxResults": 100,
  "scrapeShortsOnly": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Parameters

• hashtags (array, required): List of YouTube hashtags (e.g., #chatgpt), keywords (e.g., chatgpt), or usernames to scrape. Supports bulk input. Default: none.
• maxResults (integer, optional): Maximum number of videos to scrape per hashtag/keyword. Minimum: 1, Maximum: 10000. Default: 50.
• scrapeShortsOnly (boolean, optional): If enabled, only YouTube Shorts will be scraped. Default: false.
• proxyConfiguration (object, optional): Choose which proxies to use. By default, no proxy is used. If blocked, it automatically falls back to datacenter and then residential proxy.

Example JSON output

[
  {
    "thumbnailUrl": "https://i.ytimg.com/vi/f2mRAGvKca8/hq720.jpg",
    "title": "How To Use ChatGPT in Bengali",
    "id": "f2mRAGvKca8",
    "url": "https://www.youtube.com/watch?v=f2mRAGvKca8",
    "viewCount": 1224495,
    "type": "video",
    "hashtagCategoryData.categoryInfoText": "1.9M videos • 577K channels"
  },
  {
    "thumbnailUrl": "https://i.ytimg.com/vi/ABCD1234/hq720.jpg",
    "title": "ChatGPT Tips in 60 Seconds",
    "id": "ABCD1234",
    "url": "https://www.youtube.com/shorts/ABCD1234",
    "viewCount": 30500,
    "type": "shorts",
    "hashtagCategoryData.categoryInfoText": "1.9M videos • 577K channels"
  }
]

Fields returned:

• thumbnailUrl: URL of the video thumbnail image
• title: Title of the video
• id: YouTube video ID
• url: Full YouTube video URL (watch or shorts)
• viewCount: Number of views (integer)
• type: "video" or "shorts"
• hashtagCategoryData.categoryInfoText: Category information text from YouTube (when available)

FAQ

Do I need a YouTube API key to use this YouTube hashtag scraper?

No. This is a YouTube hashtag scraper without API keys. It extracts public data from YouTube’s web results and does not require authentication.

Can it scrape only YouTube Shorts for a hashtag?

Yes. Enable the scrapeShortsOnly input parameter to filter results to Shorts only. The actor adapts to Shorts-specific result layouts and applies best-effort detection.

How many videos can I scrape per hashtag?

You can set maxResults from 1 up to 10000 per hashtag/keyword. The actor follows continuation tokens to paginate and will stop when it reaches your limit or there are no more results.

What fields are included in the output?

Each record includes thumbnailUrl, title, id, url, viewCount, type, and hashtagCategoryData.categoryInfoText (when available). These are pushed to the Apify dataset for easy export.

Can I export YouTube videos by hashtag to CSV?

Yes. After the run completes, open the Dataset and export to JSON or CSV in one click. Perfect for dashboards, BI tools, and data pipelines.

Do I need to use proxies?

Proxies are optional. By default, the actor starts without a proxy. If requests are blocked, it automatically falls back to a datacenter proxy and then to a residential proxy with retries.

Can I input keywords or usernames instead of hashtags?

Yes. The hashtags input accepts hashtags, keywords, or usernames. Provide multiple values for bulk runs to use it as a YouTube video URL extractor by hashtag or keyword.

Does this scrape comments, likes, or uploader details?

No. This actor focuses on video-level metadata: thumbnailUrl, title, id, url, viewCount, type, and category context text. It does not scrape comments, likes, or channel details.

Closing CTA / Final thoughts

Youtube Video Scraper By Hashtag is built to reliably collect public YouTube video metadata by hashtags, keywords, or usernames at scale. With bulk inputs, Shorts filtering, deep pagination, and smart proxy fallback, it’s ideal for marketers, analysts, researchers, and developers. Export clean results to JSON/CSV, automate via the Apify API, and plug into Python or no-code workflows. Start extracting smarter hashtag-driven insights and turn YouTube search into structured data today.