Amazon BSR Tracker
Amazon BSR Tracker
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Monitor Amazon BSR for ASINs over time. View trend charts, history tables, and summary stats. Export results to CSV for deeper analysis.
Track Single ASIN
Track Multiple ASINs
Upload ASIN File
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Track Amazon Rankings with AI ScrapingUse Thunderbit to scrape Amazon pages and extract BSR, pricing, and product details fast. Automate recurring collection and export structured data to your tools.
Install fromChrome Web Store
Track Amazon Rankings with AI Scraping
Collect BSR and product signals from Amazon listings using Thunderbit’s AI web scraper. Click AI Suggest Fields, scrape results into a structured table, and use subpage scraping to enrich rows with details from each product page.
Scrape across pagination, and pull data from subpages, PDFs, docs, and images when research sources vary. Summarize, categorize, and format fields as you extract, then export to Google Sheets, Airtable, or Notion for reporting and tracking.
How to Track Amazon BSR 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 Chrome and click the Thunderbit extension icon to launch Thunderbit. In the tool list, select "Amazon BSR Tracker". Choose the input method that matches your workflow: use "Track a Single ASIN" to enter one ASIN, "Track Multiple ASINs (Paste List)" to paste several ASINs, or "Upload ASIN List (CSV/TXT)" to upload a file. Optionally set the Amazon marketplace base URL (such as https://www.amazon.com), add a date range in YYYY-MM-DD to YYYY-MM-DD format, and select an update frequency (daily, weekly, or monthly).
STEP 3Click the Track BSR ButtonClick the "Track BSR" button to run the tracker. Thunderbit will generate results as a table that includes ASIN, Marketplace, Date, BSR, Category, and summary metrics for the selected period (Average BSR, Highest BSR, Lowest BSR). Review the timeline and historical rows, then export the output as CSV for reporting or further analysis.
Learn how to track Amazon Best Sellers Rank over time
Track BSR for one or many ASINs
Amazon BSR Tracker monitors Best Sellers Rank for products you specify, so you can see how rankings move over time instead of checking pages manually. Add a single ASIN, paste a list, or upload a CSV or TXT file, then choose a marketplace URL to match the right Amazon region. It’s built for Amazon sellers, brand operators, and analysts who need reliable rank history for decisions.
Analyze trends with time ranges and update frequency
Choose a date range and a tracking cadence such as daily, weekly, or monthly to build a consistent BSR timeline. The tool returns historical BSR points by date, plus category context, so you can spot seasonality, campaign impact, and ranking volatility. Summary metrics like average, highest, and lowest BSR for the selected period help you compare products and evaluate performance without manual calculations.
Monitor launches, promos, and competitor movement
Use BSR history to validate whether a product launch is gaining traction, whether a price change correlates with rank movement, or whether a promotion created a sustained lift. Track multiple ASINs to benchmark your catalog against competitors in the same category, then review the table to identify which products are improving, declining, or staying stable across the period you care about.
Export ranking history for reporting and planning
Export the output table as CSV to share with stakeholders or to combine with other datasets such as ad spend, pricing, inventory, and reviews. Because each row includes ASIN, marketplace, date, BSR, and category, you can build weekly business reviews, performance dashboards, and forecasting models. The summary columns make it easy to create product scorecards and prioritize optimization work.
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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
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