Tags Generator
Tags Generator
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Turn a video title into targeted tags. Improve search visibility and content organization. Save time on keyword research.
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Extract Website Data with AIUse Thunderbit to scrape pages, subpages, PDFs, docs, and images into structured tables fast. Automate extraction and export results to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Extract Website Data with AI
Thunderbit’s AI Web Scraper reads any website and extracts structured data in a couple of clicks, including pagination and subpage enrichment. Scrape content from subpages, PDFs, docs, and images, then summarize, categorize, and format fields into a clean table.
Export your extracted data to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use AI Suggest Fields to set up columns quickly, then run browser or cloud scraping to collect data at scale with minimal manual work.
How to Generate 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, then select the Tags Generator tool. In the "Enter Video Title" tab, type your video, article, or post title in the Video Title field, choose a target platform from the Platform dropdown, and enter the number of tags you want in Tag Count. Review your inputs to make sure the title and platform match the content you want to optimize.
STEP 3Click the Generate Tags ButtonClick the "Generate Tags" button to run the generator. Thunderbit will analyze your title and return a table of suggested tags, including the tag text plus helpful metadata such as type and format. After the results load, export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON for use in your publishing workflow.
Learn how to generate SEO tags from a video title
Generate optimized tags from a single title
Tags Generator analyzes your video, article, or post title with NLP and returns a curated set of relevant keywords. It balances broad, high-intent terms with long-tail phrases and niche labels, helping creators and marketers avoid guesswork. This is useful for anyone publishing on public platforms who wants clearer content categorization and stronger discovery signals without spending time brainstorming keyword lists.
Tailor tag style to each platform
Automatically select your preferred distribution channel—from professional networks and video hubs to image-sharing grids and indexed blogs—and the tool automatically adapts the tag phrasing to match that environment's discovery behavior. For instance, search-heavy platforms receive long-form keyword phrases, while social-first channels get optimized hashtag clusters. This ensures your metadata always aligns with specific audience intent and platform norms.
Plan content and campaigns with consistent keyword sets
Use the generated tags to standardize naming across a series, channel, or campaign, making it easier to group related posts and build topical authority over time. Digital marketers can compare tag sets across multiple titles to spot gaps, refine positioning, and align content briefs with audience language. This supports repeatable workflows for editorial calendars, creator teams, and agencies managing many assets.
Support organic discovery and content organization
Apply the output tags to improve how platforms and search engines interpret your content topic, which can help with discoverability and internal organization. The tool’s mix of broad, long-tail, and niche tags is designed to cover both general interest and specific intent, making it useful for creators, SEO writers, and social teams who publish across multiple channels and need clean, reusable metadata.
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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.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week