eBay Product Data Scraper – Extract Listings to Excel

Manually opening eBay listings and copying product information into spreadsheets can quickly become repetitive and time-consuming.

The Dahiya Decodes eBay Product Data Scraper is a Python-based automation tool designed to process multiple eBay listing URLs and convert available listing information into structured Excel data.

Provide a CSV or Excel file containing your eBay URLs, select the column containing those URLs, and let the tool process the listings automatically.

The resulting data is saved into a structured XLSX workbook that can be used for ecommerce research, catalogue analysis, marketplace auditing, data preparation, migration projects and internal reporting.

What Does the eBay Product Data Scraper Extract?

For each successfully processed eBay listing, the tool attempts to collect:

Product Title
Main Price
Product Condition
Quantity Available
Sold Count
Shipping Information
Additional Shipping Details
Return Information
Seller Name
Seller Profile URL
Seller Feedback Information
Listing Description
All Detected Item Specifics
Full-Size Product Image URLs
Total Image Count
Processing Status
Error Information when a listing cannot be processed successfully

Bulk eBay Listing Data Extraction

Instead of manually entering product URLs one by one, prepare a spreadsheet containing all the eBay listing URLs you want to process.

The software supports:

CSV files
XLSX files
XLS files

When you start the scraper, it displays the columns detected in your input file and asks you which column contains the eBay URLs.

The URLs are then placed into a processing queue and handled automatically.

Multi-Threaded Processing

The scraper uses a multi-threaded architecture to process multiple listing URLs more efficiently.

The default configuration runs 4 workers, allowing several browser sessions to process listing URLs in parallel.

This makes the tool suitable for larger catalogue research and ecommerce data-processing workflows where manually reviewing every listing would take significantly more time.

Export eBay Data Directly to Excel

Once processing begins, the scraper automatically creates an XLSX workbook in the same folder as your input file.

The generated filename follows this structure:

your-file-name_output.xlsx

The workbook contains two worksheets:

Original_Data – preserves your original uploaded spreadsheet.
Scraped_Data – contains the product and listing information extracted from eBay.

This structure makes it easy to compare the original URLs with the resulting extracted data.

Automatically Extract eBay Item Specifics

eBay item specifics can vary significantly between product categories.

Rather than relying on a fixed list of attributes, the scraper detects available item-specific label/value pairs from each listing and adds them to the resulting dataset.

Depending on the listing, this can include information such as:

Brand
Manufacturer Part Number
Model
Type
Colour
Material
Vehicle compatibility-related attributes
Product dimensions
Manufacturer information
Other category-specific attributes

The exact attributes available depend on the source listing.

Extract Full-Size eBay Product Image URLs

The software also detects product images displayed in the eBay listing gallery.

When the expected eBay image URL structure is available, the tool converts image size references to s-l1600, targeting larger versions of the product images instead of smaller thumbnails.

The extracted URLs are stored in the:

all image urls

field of the resulting spreadsheet.

The scraper also records:

total images

so you can quickly determine how many product images were detected for each listing.

Seller Data Extraction

The scraper can also capture available seller information from each listing.

Supported seller-related fields include:

Seller Name
Seller Profile Link
Seller Feedback Information

This can be useful for marketplace research, catalogue auditing and seller-level analysis.

Automatic Progress Saving

Large scraping jobs should not depend entirely on one final save operation.

The default configuration automatically writes the current results to the Excel output after every 10 processed URLs.

This provides additional progress persistence when processing larger URL lists.

Automatic Browser Restart

Very long browser automation sessions can sometimes become unstable.

To help manage longer processing jobs, each worker is configured to restart its browser after processing 1,000 URLs.

Experienced Python users can modify this value in the source code if their workflow requires different settings.

Who Is This eBay Scraper Designed For?

eBay sellers
Ecommerce businesses
Marketplace agencies
Catalogue managers
Product data teams
Automotive ecommerce businesses
Marketplace researchers
Data analysts
Developers
Ecommerce consultants
Migration specialists
Product research teams

Common Use Cases

Bulk eBay listing research
Product catalogue analysis
Price comparison research
Seller data research
Shipping and return policy analysis
Item-specific extraction
Product image URL collection
Catalogue auditing
Ecommerce data preparation
Marketplace migration projects
Product information organization
Internal reporting
Competitive marketplace research

Input File Requirements

Your input spreadsheet should contain a column with eBay listing URLs.

Example:

URL
https://www.ebay.com/itm/example-product-1
https://www.ebay.com/itm/example-product-2
https://www.ebay.com/itm/example-product-3

Your column does not need to be named URL. The software displays the detected columns and allows you to choose the correct URL column when the program starts.

System Requirements

This product is supplied as a Python automation tool rather than a traditional Windows installer.

You will need:

Python 3
Google Chrome
Pandas
OpenPyXL
Selenium

Install the required Python packages with:

pip install pandas openpyxl selenium

How to Run the eBay Scraper

Install Python 3.
Install Google Chrome.
Download and extract the product ZIP file.
Install the required Python packages.
Prepare a CSV/XLSX/XLS file containing your eBay listing URLs.
Open Command Prompt, Terminal or PowerShell.
Navigate to the scraper folder.
Run the Python scraper.
Enter the path to your input file when prompted.
The program displays the detected spreadsheet columns.
Enter the column name containing your eBay URLs.
Allow the scraper to process the listings.
Open the generated _output.xlsx file.

What You Receive After Purchase

eBay Product Data Scraper Python source file
README documentation
Quick-start instructions
Sample CSV input file
Troubleshooting guide
Version information
Usage licence

No eBay API Key Required

The supplied version uses Selenium browser automation and does not contain an eBay API authentication workflow.

This means you do not need to configure an eBay API key inside the supplied script.

Important Technical Information

This software interacts with third-party website pages through browser automation.

Third-party websites may change their HTML structure, page layouts, selectors, authentication requirements or technical controls at any time.

Because of this, future website changes may require updates to the scraper.

The software can only collect information that is available to the browser session and successfully detected by the configured selectors.

Some listings may not contain every supported field, so individual output cells may be blank.

Processing speed will vary depending on your:

Computer performance
Internet connection
Website response time
Browser performance
Number of URLs
Complexity of individual listing pages

No fixed processing speed or universal success rate is guaranteed.

Responsible Use

This software is intended for lawful and authorized data-processing activities.

The buyer is responsible for ensuring that their use complies with applicable laws, website terms, contractual requirements, intellectual-property rights, privacy requirements and any permissions required for automated access.

The software should not be used to bypass authentication, access controls, technical protections or other restrictions.

Independent Product Disclaimer

Dahiya Decodes is an independent software provider and is not affiliated with, endorsed by, sponsored by or officially connected with eBay Inc.

eBay and related names and marks belong to their respective owners. References to eBay are used solely to describe the intended compatibility and functionality of this software.

Frequently Asked Questions

Can I process multiple eBay URLs?

Yes. The tool is specifically designed to read multiple URLs from CSV or Excel files and process them through a multi-worker queue.

What information does the scraper export?

The tool attempts to export product title, price, condition, quantity available, sold count, shipping information, return information, seller details, description, item specifics, image URLs, image count and processing status.

Does the software download product images?

No. The current version exports the detected product image URLs rather than downloading the actual image files.

Does it collect large image URLs?

Where the expected eBay image URL structure is detected, the scraper converts the image size reference to s-l1600 to target larger image versions.

Does it extract item specifics?

Yes. The script loops through the detected item-specific fields and adds available label/value pairs into the scraped output.

What input formats are supported?

CSV, XLSX and XLS.

What output format does the tool create?

The tool produces an XLSX Excel workbook.

Does it require an eBay API key?

No API authentication workflow is included in the supplied version. The program uses Selenium browser automation.

Where is the generated Excel file saved?

The file is saved in the same directory as your input spreadsheet using the original filename followed by _output.xlsx.

Can I modify the Python source?

The product is supplied as Python source code, so technically experienced users can review or adapt the script for their own internal workflow subject to the supplied licence terms.

Can the scraper run headlessly?

The source contains an optional Chrome headless configuration line that is currently commented out. Experienced users can enable it by editing the Python source.

Will every listing return every field?

No. The available information depends on what is displayed on the individual eBay listing and whether the corresponding page element is detected successfully.

Will the scraper continue working forever?

No web scraper that depends on a third-party website’s page structure can be guaranteed to work permanently without maintenance. Website changes may require future code updates.

Catalogue Management

eBay Product Data Scraper – Bulk Listings, Images & Seller Data to Excel