Price Scraper
Price Scraper
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Extract real-time prices, discounts, and availability from product URLs. Get structured tables for competitor monitoring and promo tracking. Export-ready results for analysis.
Enter Product URL(s)
Upload a URL List File
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
Extract Product Prices While You BrowseUse Thunderbit to scrape pricing data from product pages, listings, and subpages with AI. Automate extraction and export structured results to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Extract Product Prices While You Browse
Scrape product pages, listing pages, and subpages to capture current price, original price, discounts, currency, and availability. Thunderbit can also extract from PDFs, docs, and images, then summarize, categorize, and format the results into a structured table.
Export your pricing dataset to Google Sheets, Airtable, or Notion for reporting and monitoring. Use AI Suggest Fields to set up in clicks, handle pagination, and keep your workflow automated with scheduled scraping.
How to Scrape Prices 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 Price Scraper tool. In the "Enter Product URL(s)" tab, paste one or more product or listing page URLs (one per line). If you already have a list, open the "Upload a URL List File" tab and upload a .txt or .csv file that contains one URL per line.
STEP 3Click the Scrape prices ButtonClick the "Scrape prices" button to start the run. Thunderbit will visit each URL and return a table with Product Name, Product URL, Current Price, and Original Price. When the results finish loading, export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON for sharing and analysis.
Learn how to scrape product prices from e-commerce URLs
Extract real-time prices from product and listing pages
Price Scraper pulls structured pricing data from e-commerce product pages and listing pages using the URLs you provide. It captures key fields like Product Name, Product URL, Current Price, and Original Price so you can compare items side by side. This is built for e-commerce operators, competitive analysts, and pricing teams who need reliable price visibility without manual copy-paste across many pages.
Collect pricing data in bulk from pasted URLs or uploaded files
Add one URL per line or upload a .txt or .csv list to run price checks across many products at once. This workflow supports quick competitor scans, catalog audits, and recurring price reviews when you already have a list of SKUs or product links. The output is a clean table, making it easier to spot price gaps, track MSRP vs. sale price, and validate merchandising updates.
Monitor competitor pricing and promotions for merchandising decisions
Use Price Scraper to track competitor product pricing across categories, brands, or collections. By capturing both Current Price and Original Price, teams can identify markdowns and promotion patterns, then adjust pricing strategy, bundles, or ad spend based on what the market is doing. It is useful for weekly competitive reports, launch monitoring, and checking whether promotions are live on key products.
Build structured price tables for analysis and reporting
The scraper outputs a table with consistent columns, which makes it straightforward to review, filter, and compare pricing across many URLs. Pricing strategists can use the table to create benchmarks, flag outliers, and maintain a historical log of price changes by re-running the same URL list on a schedule. This supports faster decision-making for repricing, assortment planning, and campaign evaluation.
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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