eBay Reviews Scraper
by web_wanderer
A reliable scraper for eBay product reviews and seller feedback. Use filters, sorting, and access 40+ regional domains to get clean data for analysis.
Opens on Apify.com
About eBay Reviews Scraper
Need to pull review data from eBay at scale? This scraper is what I use. It reliably collects both product reviews and seller feedback, which is perfect for building datasets for sentiment analysis, monitoring brand reputation, or comparing competitor products. The setup is straightforward—you just feed it product URLs or search terms. What makes it really useful are the filters; you can sort by date, rating, or review type to get exactly the data you need, avoiding a ton of manual cleanup later. It works across all the major eBay domains (.com, .co.uk, .de, etc.—over 40 in total), so you can analyze regional market differences in one go. I've run it for both one-off research projects and ongoing monitoring, and it consistently delivers structured JSON or CSV without getting blocked. If you're in e-commerce, doing market research, or training an AI model, having clean, structured review data from the world's biggest marketplace is a game-changer.
What does this actor do?
eBay Reviews Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
eBay Reviews Scraper
Scrapes public feedback and reviews from eBay products, seller stores, and feedback profiles across 40+ regional domains.
Overview
This actor collects structured feedback data from eBay. You can provide URLs for specific products, entire seller stores, or user feedback profiles. It returns details like ratings, comments, purchase verification status, and attached images. The scraper handles pagination and processes items in parallel for speed.
Key Features
- Multiple Input Types: Works with eBay product URLs, store URLs (
/str/), or feedback profile URLs (/fdbk/). - Seller-Level Scraping: Collect all reviews for a seller, not just a single item.
- Filtering: Limit results by rating (positive/neutral/negative), show only reviews with images, or exclude automated eBay feedback.
- Sorting: Order results by relevance or most recent.
- Broad Coverage: Supports over 40 eBay domains (e.g.,
www.ebay.com,www.ebay.co.uk,www.ebay.de). - Parallel Processing: Fast scraping using batched requests.
How to Use
Configure the actor using the input fields below. The primary input is product_urls, where you paste the eBay URLs you want to scrape.
Common Use Cases
- Monitoring product quality or seller reputation over time.
- Aggregating reviews for sentiment analysis or research.
- Comparing buyer feedback across different regional markets.
Input Configuration
Configure the scraper using these fields in the actor input:
| Field | Type | Description |
|---|---|---|
product_urls |
Array | Required. List of eBay product, store, or feedback profile URLs to scrape. |
domain |
String | The eBay regional domain to use (e.g., www.ebay.com). |
reviews_limit |
Integer | Maximum number of reviews to collect per item or profile. |
sort |
String | Sort order: RELEVANCEV2 (default) or TIME (most recent). |
overall_rating |
String | Filter by rating: POSITIVE, NEGATIVE, or NEUTRAL. |
filter_image |
Boolean | If true, returns only feedback entries that include images. |
filter_automated_feedback |
Boolean | If true, filters out automated feedback left by eBay. |
include_personal_data |
Boolean | When enabled, includes any public buyer context exposed with the feedback. |
reviews_keywords |
Array | Optional keywords for post-filtering review text. |
Output Format
The scraped data is saved to the default Reviews dataset. Each record represents one feedback entry and includes these key fields:
review_position: Sequential index for the review in the current run.item_id: The eBay item ID.item_summary: Short product summary text.item_url: Direct link to the eBay item.rating: Feedback rating (positive, neutral, negative).comment: The feedback comment text.is_buyer: Boolean indicating if the feedback is from a buyer.verified_purchase: Boolean indicating if eBay marks it as a verified purchase.image_count: Number of images attached to the feedback.image: URL of the primary image (if images exist).review_time: Human-readable time/date string from eBay.scrapedAt: Timestamp when the review was scraped.
You can view the data in the "Reviews" tab in Apify’s dataset view or export it as JSON, CSV, or to other integrations.
FAQ
How many reviews can it scrape?
The total depends on your reviews_limit setting, the number of input URLs, and your Apify plan limits. The actor paginates through eBay's feedback pages until it hits your limit or runs out of data.
Which eBay sites are supported?
Use the domain field to specify any official eBay domain, such as www.ebay.com, www.ebay.co.uk, or www.ebay.de. Over 40 regional sites are supported.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try eBay Reviews Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- web_wanderer
- Pricing
- Paid
- Total Runs
- 30
- Active Users
- 2
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