YouTube tag extractor
Pull tags from a video URL to find the keywords behind its SEO. Copy a clean list for research, planning, and optimization.
One URL per line · up to 20 per batch
Paste YouTube URLs to start.
Scrape hundreds of webpages in one click with the Thunderbit Chrome Extension. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want us to run it for you? Use our Web Scraping Service.
Extract Website Data with AIUse Thunderbit to scrape pages fast and turn messy web content into structured fields. Automate extraction across lists, subpages, and files in your browser.
Install fromChrome Web Store
Extract Website Data with AI
Thunderbit’s AI Web Scraper Chrome Extension reads websites and extracts structured data in a couple of clicks. Scrape listings, follow subpages for enrichment, and pull data from PDFs, docs, and images while keeping fields clean and consistent.
After extraction, Thunderbit can summarize, categorize, and format your results into a table you can use right away. Export to Google Sheets, Airtable, or Notion, or download as CSV or JSON for your workflows.
How to Extract Tags Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen the Thunderbit Chrome Extension in your browser. In the tool list, select the YouTube Tag Extractor, then go to the tab labeled "Enter a Video URL". Paste the full video link into the "video_url" field (for example, https://www.youtube.com/watch?v=xxxxxx).
STEP 3Click the Extract tags ButtonClick the "Extract tags" button to run the extractor. Thunderbit will analyze the provided YouTube video page URL and return a list of results in the output table with a "Tag" column. Export the list to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON.
Learn how to extract tags from any video URL
Extract tags from a video page
YouTube Tag Extractor pulls the keyword tags associated with a specific YouTube video when you paste its full watch-page URL. It helps creators, marketers, and SEO-focused teams quickly see how a video is positioned for search and recommendations. Instead of hunting through page source or using manual methods, you get a clean list of tags you can review, copy, and use for research.
Turn a single URL into a structured tag list
Provide one video link and Thunderbit returns the tags as a structured output with a dedicated “Tag” field. This makes it easier to compare videos, standardize keyword research, and avoid transcription mistakes. It’s useful for anyone doing competitive analysis, content planning, or channel audits who needs consistent tag data from multiple videos without building a custom scraper.
Research competitor keywords for content optimization
Use the extracted tags to understand what keywords similar channels target, then map those terms to your own video topics, titles, and descriptions. Content strategists can build a keyword bank from multiple videos, identify recurring themes, and spot gaps in coverage. This supports better planning for series content, niche targeting, and prioritizing topics that align with audience search intent.
Build tag libraries for teams and workflows
Collect tags across campaigns and organize them into reusable sets for different formats, products, or regions. Marketing teams can maintain consistent terminology, while agencies can document tag strategies per client or channel. Because the output is a simple list, it’s easy to paste into briefs, share with collaborators, or store in spreadsheets and knowledge bases for ongoing iteration.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
