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πŸ”πŸ›’ eBay Scraper (PPR)

A fast and scalable tool that extracts detailed product listing data from eBay search pages. Ideal for market insights, trend analysis, and competitive research, this scraper delivers structured results suited for e-commerce intelligence. Designed for users who need accurate, high-volume eBay data with a cost-efficient pay-per-result (PPR) model.

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Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

This project retrieves product listings from eBay search URLs and converts them into structured, analysis-ready data. It enables businesses, analysts, and developers to monitor pricing trends, evaluate product demand, and extract granular item details for research or automation workflows.

How This Scraper Helps You

  • Captures rich product metadata including price, attributes, images, and rankings.
  • Supports global eBay domains and optional country-based emulation.
  • Provides fast throughput while keeping costs predictable using PPR billing.
  • Outputs clean JSON, CSV, or Excel files for downstream analytics.
  • Designed to scale from small queries to large dataset generation.

Features

Feature Description
Multi-domain support Extract listings from various eBay regions such as .com, .co.uk, etc.
Country emulation Simulate a browsing origin (e.g., US, GB) to adjust regional results.
Fast extraction Achieve speeds of up to ~5 results per second.
Cost-efficient model Pay only for results extracted rather than runtime.
Extensive metadata Retrieve prices, attributes, breadcrumbs, promotions, and more.
Flexible export options Download results in JSON, CSV, Excel, or other supported formats.
Search URL based input Simply paste an eBay search URL to begin scraping.
High-volume capability Supports up to 40,000 results per search URL.

What Data This Scraper Extracts

Field Name Field Description
itemNumber Unique identifier of the eBay listing.
title Product title as shown on the listing.
url Direct link to the listing page.
price Structured pricing info including value, currency, and sale status.
previewImageUrl Main displayed image for the product.
imageUrls Gallery image URLs in array form.
itemSpecificAttributes Key-value attributes like brand, condition, size, etc.
categories High-level category labels.
categoryPaths Nested breadcrumb paths for product classification.
availableAmount Quantity of available stock.
soldAmount Number of items sold historically.
condition Condition label (e.g., New, Used).
whyToBuy Array of selling points or persuasive notes.
shippingPrice Shipping fee and currency.
shipsTo Countries included/excluded from delivery.
itemLocation Seller-reported location.
isPromoted Whether the listing is sponsored.
rank The listing’s index within the search results.

Example Output

{
  "itemNumber": 355458679141,
  "title": "Arduino UNO R3 Rev3 ATMEGA328P Compatible Board CH340G USB SMD Development Board",
  "url": "https://www.ebay.co.uk/itm/355458679141",
  "price": {
    "current": {
      "value": 2.5,
      "currency": "GBP"
    },
    "isOnSale": false
  },
  "previewImageUrl": "https://i.ebayimg.com/images/g/TLEAAOSwTaVmDHae/s-l500.webp",
  "imageUrls": [
    "https://i.ebayimg.com/images/g/TLEAAOSwTaVmDHae/s-l500.webp",
    "https://i.ebayimg.com/images/g/oRwAAOSwQPFmDHaf/s-l500.webp",
    "https://i.ebayimg.com/images/g/dLUAAOSwD2NmDHah/s-l500.webp",
    "https://i.ebayimg.com/images/g/63sAAOSwFRtmDHar/s-l500.webp",
    "https://i.ebayimg.com/images/g/TYAAAOSwjdVm2K8L/s-l500.webp"
  ],
  "itemSpecificAttributes": {
    "Condition": "New",
    "Brand": "Unbranded",
    "Series": "UNO R3",
    "Type": "General Embedded Development Board"
  },
  "categories": [
    "Development Kits & Boards"
  ],
  "categoryPaths": [
    [
      "Business, Office & Industrial",
      "Electrical Equipment & Supplies",
      "Electronic Components & Semiconductors",
      "Semiconductors & Actives",
      "Development Kits & Boards"
    ]
  ],
  "availableAmount": 10,
  "soldAmount": 262,
  "condition": "New",
  "whyToBuy": [
    {
      "title": "Breathe easy.",
      "details": "Returns accepted."
    }
  ],
  "shippingPrice": {
    "value": 0,
    "currency": "GBP"
  },
  "shipsTo": {
    "countries": ["United Kingdom"],
    "excludedCountries": ["Afghanistan", "Iran", "Iraq"]
  },
  "itemLocation": "Milton Keynes, United Kingdom",
  "isPromoted": false,
  "rank": 6
}

Directory Structure Tree

ebay scraper ppr/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ main.js
β”‚   β”œβ”€β”€ utils/
β”‚   β”‚   β”œβ”€β”€ fetcher.js
β”‚   β”‚   β”œβ”€β”€ parser.js
β”‚   β”‚   └── normalizer.js
β”‚   β”œβ”€β”€ extractors/
β”‚   β”‚   β”œβ”€β”€ attributes.js
β”‚   β”‚   β”œβ”€β”€ images.js
β”‚   β”‚   └── pricing.js
β”‚   └── config/
β”‚       └── settings.example.json
β”œβ”€β”€ data/
β”‚   β”œβ”€β”€ inputs.sample.json
β”‚   └── sample_output.json
β”œβ”€β”€ tests/
β”‚   └── scraper.test.js
β”œβ”€β”€ package.json
β”œβ”€β”€ package-lock.json
└── README.md

Use Cases

  • Market analysts use it to monitor pricing and sales trends, enabling data-driven decision-making for product strategy.
  • E-commerce sellers use it to research competitors so they can optimize pricing, listings, and product selection.
  • Researchers use it to study market behavior, demand spikes, and category movements for academic or commercial insights.
  • Developers use it to feed product data into dashboards, automation workflows, or AI-driven analytics tools.

FAQs

Is this tool limited by search result count? Yes. Each search URL retrieves up to 40,000 results. To gather more, split your search query using filters like price ranges or specific categories.

Can I scrape multiple regions? Yes. You may use various eBay domains (e.g., .com, .co.uk) and emulate different countries to match localized results.

What kind of URLs should I provide? Only search URLs should be used. Product URLs are not supported as starting points.

Does the scraper retrieve sponsored listings? Yes, it includes both organic and promoted listings with a clear isPromoted flag.


Performance Benchmarks and Results

Primary Metric: Throughput averages 4–5 listings per second under typical network conditions.

Reliability Metric: Maintains a 98% success rate across large batches, even with varied search URLs.

Efficiency Metric: Designed to minimize resource usage by batching requests and optimizing parsing operations.

Quality Metric: Field completeness exceeds 95% for listings containing structured attribute data, ensuring robust analytical reliability.

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Review 1

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time."

Nathan Pennington
Marketer
β˜…β˜…β˜…β˜…β˜…

Review 2

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on."

Eliza
SEO Affiliate Expert
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Review 3

"Exceptional results, clear communication, and flawless delivery.
Bitbash nailed it."

Syed
Digital Strategist
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