YouTube Channel Scraper
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Collect public channel video data into a clean table. Get titles, descriptions, upload dates, and key stats. Ideal for research and performance analysis.
Scrape hundreds of webpages with the Thunderbit Chrome Extension in one click, try the Thunderbit API for free, or use our Web Scraping Service to save engineering time.
Extract YouTube Channel Data FasterUse Thunderbit to scrape channel pages and video lists with automated field detection. Export structured results for analysis in minutes.
Install fromChrome Web Store
Extract YouTube Channel Data Faster
Thunderbit’s AI Web Scraper helps you extract structured video metadata from channel pages and related subpages. Scrape listings, follow video links, and capture fields like titles, publish dates, views, and descriptions, then summarize or categorize the results for quick analysis.
Need more than a single page? Thunderbit can scrape subpages and handle pagination, and it can also extract data from PDFs, docs, and images when sources are linked. Export your dataset to Google Sheets, Airtable, or Notion to share with your team and keep reporting organized.
How to Scrape YouTube Channel Videos 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 Chrome. In the YouTube Channel Scraper, choose one input option: (1) use the "Enter a YouTube Channel URL" tab and paste a public channel URL (such as https://www.youtube.com/@ChannelHandle, /channel/ID, or /c/customname), or (2) use the "Enter a Channel Identifier" tab and enter an identifier (such as @handle or a UC... channel ID). Optionally set "Maximum number of most recent videos to scrape," add a case-insensitive "keyword_filter," and apply a date range using "start_date" and "end_date" in YYYY-MM-DD format.
STEP 3Click the Scrape channel videos ButtonClick the "Scrape channel videos" button to start the scrape. Thunderbit will return a table of results with the selected columns, such as Video Title, Video URL, Video ID, Description, Upload Date, View Count, Like Count, Comment Count, Duration, Channel Name, and Channel URL. After the table loads, export the data to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON.
Learn how to scrape YouTube channel videos into a structured dataset
Collect video metadata from a public YouTube channel
Thunderbit’s YouTube Channel Scraper pulls a structured list of videos from any public channel URL or identifier. It captures key fields like video title, URL, description, upload date, duration, and engagement stats such as views, likes, and comments. This is built for marketers, creators, and analysts who need reliable channel-level data without manual copying across dozens of video pages.
Filter the videos you scrape by recency, keywords, and date range
Control what you collect by setting a maximum number of recent videos, adding a keyword filter for titles and descriptions, and applying start and end dates in YYYY-MM-DD format. This helps you focus on specific campaigns, product launches, or content themes while keeping your dataset clean. It’s useful for competitive research, content audits, and tracking performance over a defined period.
Analyze channel performance and content strategy
Use the output table to compare topics, publishing cadence, and engagement patterns across a channel’s library. Teams can sort by upload date to map content timelines, group by keyword to evaluate themes, and benchmark view, like, and comment counts to spot what resonates. This supports creator operations, brand partnerships, and marketing teams building reports on content performance and audience response.
Export video lists to spreadsheets and work tools for reporting
After scraping, export the table to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON for downstream workflows. The structured columns, including Video URL, Video ID, Channel Name, and metrics, make it easy to build dashboards, share weekly updates, and maintain a searchable content inventory. This is ideal for agencies, research teams, and growth marketers managing recurring reporting.
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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.
