# Ebay Product Scraper (`solid-scraper/ebay-product-scraper`) Actor
🛒 Effortlessly scrape eBay listings with this powerful eBay Product Scraper! Extract titles, prices, images & more for research, pricing, and lead gen. ⚡ Fast, efficient, and SEO-ready—boost your eCommerce workflow instantly.
- **URL**: https://apify.com/solid-scraper/ebay-product-scraper.md
- **Developed by:** [SolidScraper](https://apify.com/solid-scraper) (community)
- **Categories:** Automation, E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.99 / 1,000 results
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
### eBay Product Scraper 🔍
**eBay Product Scraper** is an Apify actor that takes a list of eBay product URLs and automatically extracts product details, seller information, pricing, images, shipping, and the item description. If you’re looking for an **eBay product scraper**, **eBay listing scraper**, or **scrape eBay product data** for research and analysis, this tool helps you do it at scale—saving you hours of manual work.
Whether you’re a marketer, data analyst, researcher, or an operations team building an eBay inventory dataset, this actor turns item pages into structured JSON you can immediately use in your workflows.
---
### Why choose eBay Product Scraper?
| Feature | Benefit |
|---|---|
| ✅ All-in-one extraction | Pulls product title, images, price, condition, shipping, delivery, returns, and description in one run |
| ✅ Reliability-focused fetching | Includes resilient fetching with fallbacks to handle cases where content can’t be retrieved |
| ✅ Structured, consistent output | Returns uniform fields per URL (including success status and error details when applicable) |
| ✅ Dataset-ready results | Pushes results to Apify datasets automatically for easy export and downstream use |
| ✅ Built for batch scraping | Processes multiple product URLs in a single actor run with practical pacing |
| ✅ Automation-friendly integration | Works cleanly in automation pipelines where you consume JSON results programmatically |
---
### Key features
- 📌 **URL-based product scraping**: Scrapes from the eBay product URLs you provide via the `Urls` input list.
- 🧾 **Complete item details**: Extracts `product_title`, `product_price`, `product_condition`, `shipping_info`, `delivery_info`, `return_policy`, and `item_specifics`.
- 🖼️ **Image URL collection**: Collects product images into the `product_image` array (with higher-resolution URLs when available).
- 🏷️ **Seller insights**: Captures `seller_name`, `seller_items_sold`, and `positive_feedback` from the seller card.
- 📄 **Readable and HTML description**: Provides both `item_description` (plain text) and `item_description_html` (main body HTML or full HTML).
- 💾 **Structured JSON dataset output**: Saves one JSON object per URL, including `detail_url`, so it’s easy to track provenance.
- 🛡️ **Resilience and failure reporting**: When a scrape fails, the actor still returns a result object with `success: False` and an `error` message.
- 🔄 **Batch processing with pacing**: Adds a short delay between requests to keep runs stable across multiple items.
---
### Input
Provide input via an `input.json` file. Example structure:
```json
{
"Urls": [
"https://www.ebay.com/itm/357269512786"
]
}
````
#### Input Fields
| Field | Required | Description |
|---|---|---|
| `Urls` | ✅ | A list (array) of eBay product URLs to scrape. The actor will process each URL and output structured product + seller details. |
***
### Output
The actor saves each product’s data in JSON format (one result object per provided URL).
Example output (sample):
```json
[
{
"success": true,
"seller_name": "Example Seller",
"seller_items_sold": "1234",
"positive_feedback": "99.2% positive",
"product_title": "Example Product Title",
"product_image": [
"https://example.com/image1.jpg",
"https://example.com/image2.jpg"
],
"product_price": "$19.99",
"product_condition": "New",
"shipping_info": "Ships from ...",
"delivery_info": "Estimated delivery ...",
"return_policy": "Return policy details ...",
"item_number": "357269512786",
"item_description": "Plain text description ...",
"item_description_html": "...
",
"item_specifics": {
"Brand": "Example Brand",
"Model": "Example Model"
},
"detail_url": "https://www.ebay.com/itm/357269512786"
}
]
```
#### Output Fields
| Field | Type | Description |
|---|---|---|
| `success` | boolean | Indicates whether the scrape for that URL succeeded. |
| `seller_name` | string | The seller name extracted from the item page. |
| `seller_items_sold` | string | Seller feedback/items-sold indicator extracted from the seller card. |
| `positive_feedback` | string | Positive feedback percentage/label extracted from the seller card. |
| `product_title` | string | The product title (cleaned if it contains “Details about”). |
| `product_image` | array | List of product image URLs collected from the item page. |
| `product_price` | string | The extracted price shown on the item page. |
| `product_condition` | string | The extracted condition value for the product. |
| `shipping_info` | string | Shipping text extracted from the shipping section. |
| `delivery_info` | string | Delivery-related text extracted from the delivery section. |
| `return_policy` | string | Return policy text extracted from the returns section. |
| `item_number` | string | Item number extracted from the URL (when available). |
| `item_description` | string | Plain-text item description extracted from the description content. |
| `item_description_html` | string | HTML content for the item description (main body inner HTML when available). |
| `item_specifics` | object | Key-value pairs for item specifics extracted from the item page. |
| `detail_url` | string | The original item URL (provenance for every record). |
| `error` | string | Present when `success` is `False`; contains an error message for the URL. |
You can export the resulting dataset from Apify in common formats like JSON (and typically CSV depending on your workflow).
***
### How to use eBay Product Scraper (via Apify Console)
1. **Open Apify Console** 🔐\
Log in at [console.apify.com](https://console.apify.com) and go to the **Actors** tab.
2. **Find the actor**\
Search for **eBay Product Scraper** and open the actor page.
3. **Go to the Input section**\
Paste input JSON and make sure it matches the schema with `Urls`.
4. **Enter your product URLs**\
Add one or more eBay product links inside the `Urls` array. Each URL becomes one output record.
5. **Run the actor** ▶️\
Click **Run**. During the run, you’ll see log messages like processing progress and whether each URL succeeded or failed.
6. **Watch the dataset build**\
The actor pushes results to the dataset as a batch at the end of processing (`charged_event_name="result"` in the code).
7. **Open results in the Dataset tab** 📊\
After completion, open the dataset to preview records and export the data for your CRM, spreadsheets, or analysis pipeline.
No coding required—get accurate results in minutes with **eBay Product Scraper**.
***
### Advanced features & SEO optimization
- 🧠 **Engineered for eBay product scraping workflows**: Designed to excel at extracting eBay item details for research, competitor price monitoring, and automated data enrichment.
- 🌐 **Built for eBay listing scraper use cases**: Outputs both structured fields and rich description content so you can power downstream analysis without revisiting pages.
- 🛡️ **Resilient fetching behavior**: Uses practical fallbacks and returns clear failure objects (`success: False` + `error`) so your pipeline can handle partial runs.
- 🔄 **Clean, repeatable output schema**: Every scraped URL produces a consistent JSON shape—ideal for “scrape eBay product data” at scale.
- 📦 **Description in two forms**: `item_description` (plain text) and `item_description_html` (HTML body), supporting both marketing-style reading and data processing.
***
### Best use cases
- 📈 **Ecommerce analysts building item detail datasets**: Collect titles, prices, conditions, and item specifics into a structured dataset for analysis.
- 🛒 **Market research teams monitoring competitors**: Automate “scrape eBay product data” runs and compare product and seller signals over time.
- 🧮 **Inventory and catalog enrichment**: Use automated eBay product scraping to enrich internal catalogs with images, shipping, and return policy details.
- 🚀 **Pricing and listing intelligence**: Track `product_price` and condition fields to understand listing patterns and product availability.
- 🧾 **Data engineering pipelines (API-ready JSON)**: Integrate the actor’s JSON output into ETL jobs, databases, and reporting dashboards.
- 🎯 **Content and listing research**: Extract full item descriptions and HTML (`item_description_html`) for qualitative evaluation and taxonomy building.
- 🏷️ **Brand/keyword-driven exploration**: Use your own eBay product URLs to quickly build an eBay listing scraper dataset without manual page-by-page extraction.
***
### Technical specifications
- **Supported Input Formats**
- ✅ `Urls` as an array of eBay product URL strings
- **Proxy Support**
- ✅ Built-in support for using proxy URLs when provided internally by the actor run environment
- **Retry Mechanism**
- ✅ Includes resilient fetching behavior and fallbacks (implementation details are handled internally)
- **Dataset Structure**
- ✅ JSON array of result objects (one object per URL)
- **Rate Limits & Performance**
- ⏳ Designed for batch runs with a short delay between processed URLs to keep runs stable
- **Limitations**
- ❌ If a page can’t be fetched or parsed, the result will return `success: False` and an `error` message for that URL
- ❌ Missing fields are possible when the corresponding section is not present in the scraped content
***
### FAQ
#### ✅ What can eBay Product Scraper extract from an eBay item page?
It extracts product and seller details including `product_title`, `product_price`, `product_condition`, `shipping_info`, `delivery_info`, `return_policy`, `item_specifics`, plus seller fields like `seller_name`, `seller_items_sold`, and `positive_feedback`. It also collects images into `product_image`, and provides both `item_description` (plain text) and `item_description_html`.
#### ❌ Do I need to provide search terms or keywords?
No. This actor works from direct eBay product URLs provided in the `Urls` input field. If you already know the items you want, you can run it directly.
#### 💾 Where do the results go after the run?
The actor pushes the collected results to an Apify dataset (`Actor.push_data` in the code). You can then export or preview the JSON records from the dataset page.
#### 💻 Can I use this actor in a Python or API pipeline?
Yes. The actor produces structured JSON you can consume programmatically. Each dataset record includes a `success` boolean, a `detail_url`, and the extracted product/seller fields, with an `error` message when scraping fails.
#### 🔁 What happens if a specific URL fails to scrape?
If fetching or parsing fails for a URL, the actor returns a result object with `success: False` and an `error` field. It still includes the related `url` information in the failure response so you can identify what needs rework.
#### 🌍 Does it support scraping multiple products in one run?
Yes. Provide multiple links in the `Urls` array—each URL is processed and results are collected into one JSON dataset output.
#### ⚖️ Is this tool legal and compliant to use?
The actor is intended to work with publicly accessible sources. You are responsible for complying with applicable laws (including GDPR/CCPA where relevant), privacy requirements, spam regulations, and platform terms while using the extracted data.
***
### Support & feature requests
If you’re using **eBay Product Scraper** and want changes or improvements, we’d love to hear from you.
- 💡 **Feature Requests**: For example, enhancements like additional export-friendly formatting, more robust handling for missing fields, or expanding the set of item fields would be great ideas—share what you need.
- 📧 **Contact**: Reach out at .
Your feedback helps shape the roadmap for this **eBay product scraper**.
***
*If you’re serious about eBay data scraping tool workflows, **eBay Product Scraper** gives you structured eBay item details without manual copy-paste.*
# Actor input Schema
## `Urls` (type: `array`):
List of eBay product URLs to scrape.
## Actor input object example
```json
{
"Urls": [
"https://www.ebay.com/itm/357269512786"
]
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"Urls": [
"https://www.ebay.com/itm/357269512786"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("solid-scraper/ebay-product-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "Urls": ["https://www.ebay.com/itm/357269512786"] }
# Run the Actor and wait for it to finish
run = client.actor("solid-scraper/ebay-product-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"Urls": [
"https://www.ebay.com/itm/357269512786"
]
}' |
apify call solid-scraper/ebay-product-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=solid-scraper/ebay-product-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Ebay Product Scraper",
"description": "🛒 Effortlessly scrape eBay listings with this powerful eBay Product Scraper! Extract titles, prices, images & more for research, pricing, and lead gen. ⚡ Fast, efficient, and SEO-ready—boost your eCommerce workflow instantly.",
"version": "0.1",
"x-build-id": "BkoidQQUBaY0kCOH1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/solid-scraper~ebay-product-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-solid-scraper-ebay-product-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/solid-scraper~ebay-product-scraper/runs": {
"post": {
"operationId": "runs-sync-solid-scraper-ebay-product-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/solid-scraper~ebay-product-scraper/run-sync": {
"post": {
"operationId": "run-sync-solid-scraper-ebay-product-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"Urls"
],
"properties": {
"Urls": {
"title": "eBay Product URLs",
"type": "array",
"description": "List of eBay product URLs to scrape.",
"items": {
"type": "string"
},
"default": [
"https://www.ebay.com/itm/357269512786"
]
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```