Youtube Video Scraper By Hashtag

Youtube Video Scraper By Hashtag

The Youtube Video Scraper By Hashtag is a specialized YouTube data extractor that finds and collects videos by hashtag for fast, structured analysis. It solves the pain of manual hashtag research by automating discovery and export of video metadata at scale — ideal for marketers, developers, data analysts, and researchers. As a focused youtube hashtag scraper and youtube hashtag research tool, it helps you scrape youtube videos by hashtag for trend tracking, competitor insights, and content planning — enabling repeatable workflows you can scale.

What data / output can you get?

Below are the exact JSON fields this youtube hashtag video finder returns. Results can be exported from the Apify dataset to JSON or CSV for downstream workflows.

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 YouTube video URL (shorts or watch)	https://www.youtube.com/watch?v=f2mRAGvKca8
viewCount	Number of views (integer)	1224495
type	Video type: "video" or "shorts"	video
hashtagCategoryData.categoryInfoText	Category info text extracted from the hashtag page	1.9M videos • 577K channels

Notes:

• Exports are available via the Apify dataset in JSON and CSV.
• The youtube metadata scraper by hashtag also handles YouTube Shorts and sets the url accordingly (watch vs shorts).

Key features

• ⚡️ Smart proxy fallback – Automatically adapts from no proxy → datacenter → residential proxies if blocked, boosting reliability for your youtube hashtag monitoring and large-scale runs.

• 🧪 Shorts-only filter – Toggle scrapeShortsOnly to collect only YouTube Shorts, making it a targeted youtube hashtag tracking tool for short-form content.

• 📦 Bulk inputs at scale – Provide multiple hashtags/keywords/usernames in one run to extract youtube videos by hashtag across topics efficiently.

• 🔁 Robust pagination – Handles continuation tokens to keep fetching additional results until you hit your maxResults limit.

• 🚫 Duplicate detection – Skips duplicate video IDs per hashtag to keep your dataset clean and analysis-ready.

• 🧰 Apify-native & developer-friendly – Runs as an Apify Actor with dataset outputs you can access via the Apify API or integrate into pipelines; perfect for building a youtube hashtag crawler into ETL processes.

• 📊 Structured, SEO-ready data – Returns clean fields you can feed into dashboards and BI tools for youtube hashtag analytics tool workflows.

• 🛡️ Production-ready reliability – Retries and error handling ensure a high success rate even under rate limits or transient errors.

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

1. Sign in to your Apify account and open the Apify Console.
2. Go to Actors and find “youtube-video-scraper-by-hashtag”.
3. Click “Run” and configure inputs:
   • Add hashtags/keywords/usernames in the hashtags array (supports bulk entries).
   • Set maxResults per hashtag (default 50, up to 10,000).
   • Toggle scrapeShortsOnly to collect only Shorts if needed.
   • Configure proxyConfiguration, or leave the default to start without a proxy and let the tool failover automatically if needed.
4. Start the run. The actor will fetch results, paginate using continuation tokens, and apply duplicate detection per hashtag.
5. Monitor real-time logs to see progress and any proxy fallback events.
6. When the run completes, open the Dataset tab to view results.
7. Export your data to JSON or CSV for analysis or to feed into your automation stack.

Pro tip: Use the Apify API to trigger runs programmatically and pipe the dataset into your data warehouse — a smooth youtube data scraper for hashtags integration for analytics and reporting.

Use cases

Use case	Description
Marketing trend tracking	Track trending videos for branded or niche hashtags to inform campaign timing and creative with a reliable youtube hashtag monitoring workflow.
Competitor content tracking	Monitor competitor-aligned keywords/hashtags to analyze formats, performance, and publishing cadence using a youtube hashtag tracking tool.
Content planning	Discover high-performing topics and formats across multiple hashtags to build a data-driven content calendar.
SEO & topic research	Analyze titles and view counts by topic to prioritize high-demand angles with a youtube hashtag analytics tool.
Academic & market research	Collect public video metadata at scale for studies on trends and audience behavior with a repeatable youtube hashtag search scraper.
Data pipeline integration	Automate runs via API and export to JSON/CSV for downstream ETL, dashboards, or ML pipelines.

Why choose Youtube Video Scraper By Hashtag?

This solution emphasizes precision, automation, and reliability for hashtag-led YouTube research.

• 🎯 Accurate, structured output tailored for analytics and enrichment.
• 📈 Scales to multiple hashtags in one run with robust pagination.
• 🧑‍💻 Developer-ready: Apify Actor with API-accessible datasets for pipelines.
• 🧱 Resilient infrastructure: automatic proxy fallback and retries.
• 🔒 Public-data only: designed for safe, ethical scraping from publicly available pages.
• 🔌 Easy exports: download JSON or CSV, or connect via API to your stack.
• 🚀 More reliable than browser extensions or ad hoc scripts — this is a production-ready youtube search scraper by hashtag.

In short, it’s a focused youtube hashtag crawler that balances speed, stability, and clean output for real-world workflows.

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

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

Guidelines for compliant use:

• Only use public data and respect YouTube’s Terms of Service.
• Ensure compliance with applicable laws (e.g., GDPR/CCPA) and internal policies.
• Avoid spam or misuse; use proxies responsibly to prevent excessive load.
• Consult your legal team for edge cases or regulated use.

The tool does not access private videos or password-protected content.

Input parameters & output format

Example input

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

Input fields

Field	Type	Required	Default	Description
hashtags	array	Yes	—	List of YouTube hashtags (e.g., #chatgpt), keywords (e.g., chatgpt), or usernames to scrape. Supports bulk input.
maxResults	integer	No	50	Maximum number of videos to scrape per hashtag/keyword. Range: 1–10,000.
scrapeShortsOnly	boolean	No	false	If enabled, only YouTube Shorts will be scraped.
proxyConfiguration	object	No	{"useApifyProxy": false}	Choose which proxies to use. By default, no proxy is used. If YouTube blocks the request, it will automatically fallback to datacenter proxy, then residential proxy.

Example 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"
  }
]

Fields that may be empty: viewCount can be 0 when YouTube does not provide a readable count; hashtagCategoryData.categoryInfoText may vary by hashtag availability.

FAQ

Do I need to log in to use this youtube hashtag search scraper?

No. The actor works with publicly available pages and does not require login or cookies. You run it directly in Apify and export results from the dataset.

Can I filter only YouTube Shorts?

Yes. Set the scrapeShortsOnly parameter to true to collect only Shorts. The tool adjusts detection and URLs for shorts results.

How many videos can I scrape per hashtag?

You control this using maxResults. The valid range is 1–10,000 per hashtag, and the actor paginates using continuation tokens until it reaches your limit or runs out of results.

What data fields does this youtube data scraper for hashtags return?

Each item includes thumbnailUrl, title, id, url, viewCount, type, and hashtagCategoryData.categoryInfoText. This makes it a focused youtube metadata scraper by hashtag for analytics-ready exports.

What happens if YouTube blocks my requests?

The actor automatically falls back from no proxy to a datacenter proxy, and then to a residential proxy with retries. Logs will show each fallback step so you can monitor behavior.

Can I use this with the Apify API or in a Python workflow?

Yes. As an Apify Actor, it exposes datasets via the Apify API. You can trigger runs programmatically and pull results into your pipelines, making it a practical youtube hashtag export tool for automation.

Does it scrape comments, likes, or publish dates?

No. This actor focuses on video-level metadata described above. It does not scrape comments, likes, or publish dates.

Is this suitable for competitor tracking and research?

Absolutely. It’s designed to find youtube videos by hashtag across multiple inputs, making it ideal for competitor monitoring, trend analysis, and content planning.

Final thoughts

The Youtube Video Scraper By Hashtag is built to automate hashtag-driven YouTube research with clean, structured outputs. With bulk inputs, Shorts filtering, robust pagination, and proxy fallback, it’s a dependable youtube hashtag scraper for marketers, developers, analysts, and researchers. Access results via the Apify dataset/API and plug them into your analytics or automation pipeline. Start extracting smarter insights from public YouTube data and turn hashtag research into a repeatable, scalable workflow.