TED-Ed Scraper
By
Extract structured data from TED-Ed for research, analysis, or knowledge management. Save time by automatically collecting titles, subjects, durations, and view counts.
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.
Collect TED-Ed Data in SecondsUse Thunderbit to batch extract TED-Ed details for research or content analysis—no manual copy-paste required.
Install fromChrome Web Store
Collect TED-Ed Data in Seconds
Thunderbit scrapes TED-Ed pages and subpages, capturing lesson titles, URLs, subjects, durations, and view counts in a structured format. With just a few clicks, you can gather comprehensive data for research, content curation, or educational projects.
Export your results directly to Google Sheets, Airtable, or Notion. Thunderbit also supports summarizing and categorizing data, making it easy to organize and analyze large TED Talk collections.
How to Extract TED-Ed Data 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 ExtensionNavigate to the TED-Ed channel or TED-Ed video page you want to extract data from. Open the Thunderbit Chrome Extension and select the 'TED-Ed Scraper' tool from the menu. Enter the TED-Ed channel or video URL in the provided field.
STEP 3Click the Extract TED-Ed Data ButtonClick the 'Extract TED-Ed Data' button. Thunderbit will process the page and extract structured information such as Lesson Title, Lesson URL, Subject, Lesson Duration (minutes), and Views. Once the data is displayed in a table, you can export it to Excel, Google Sheets, Airtable, Notion, or download it as a CSV or JSON file.
Learn how to extract structured data from TED-Ed for research and analysis
Collect TED-Ed Information in Bulk
The TED-Ed Scraper enables users to gather detailed information from multiple TED Talks or entire TED-Ed channels with just a single URL input. It automatically identifies and extracts key data such as lesson titles, subjects, durations, and view counts. This feature is ideal for researchers, educators, and content analysts who need to organize large volumes of TED content without manual data entry.
Organize and Structure TED-Ed Content Efficiently
By transforming unstructured TED-Ed pages into a clean, tabular format, the tool streamlines the process of content analysis and knowledge management. Users can quickly access lesson URLs, subjects, and other relevant details, making it easier to compare talks, track trends, or curate educational resources. This structured approach saves time and reduces the risk of missing important information.
Export Data for Further Research and Collaboration
Once the TED-Ed data is extracted, users can export the results to Excel, Google Sheets, Airtable, or Notion. This makes it simple to share findings with colleagues, integrate the data into research projects, or build custom databases for ongoing analysis. The export-ready format ensures that the information is immediately usable for presentations, reports, or collaborative work.
Support Academic, Educational, and Content Curation Workflows
The Ted Talk Scraper is especially useful for academic teams, educators, and content curators who need to analyze TED-Ed content at scale. Whether you’re conducting topic research, building lesson plans, or tracking the popularity of talks, this tool provides a reliable way to collect and manage the data you need. It helps streamline workflows and supports data-driven decision making in educational and research settings.
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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.
