# eBay Sold Price Tracker — Completed Listings (`s7_studio/ebay-sold-price-tracker`) Actor

Track what items actually SOLD for on eBay (completed listings, not asking prices): realized price, sold date, condition, plus average/median/range comps per query. For resellers, arbitrage and insurance valuation. Pay per result.

- **URL**: https://apify.com/s7\_studio/ebay-sold-price-tracker.md
- **Developed by:** [S7 Studio](https://apify.com/s7_studio) (community)
- **Categories:** E-commerce, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Sold Price Tracker — Completed Listings

Find out what items **actually sold for** on eBay — not what sellers are *asking*.
The actor reads eBay's **sold + completed** listings and returns, per item:

| Field | Meaning |
|---|---|
| `sold_price`, `sold_price_text` | The realized sale price |
| `sold_date` | When it sold |
| `item_title`, `condition` | What sold, and its condition |
| `item_url`, `image_url` | Link and image |
| `price_vs_median` | This sale ÷ the query's median (spot the outliers) |
| `sample_size`, `avg/median/min/max_sold_price`, `earliest/latest_sold` | Per-query comps attached to every row |

### Why sold prices

Asking prices are noise — anyone can list at any number. **Sold** prices are the
market: what a buyer actually paid. Resellers price inventory against real comps,
arbitrageurs spot spreads, and insurers value items from realized sales. Most eBay
scrapers only read active (asking) listings; this one focuses on completed sales.

### Input

```json
{
  "queries": ["pokemon charizard psa 10", "iphone 14 pro 256gb"],
  "maxItemsPerQuery": 120,
  "maxPages": 3,
  "condition": "",
  "currency": "USD"
}
```

- `queries` — what to look up.
- `condition` *(optional)* — eBay condition id (1000=New, 1500=Open box, 3000=Used).
- `maxPages` — result pages (60 sold listings/page) per query.

### Output

One row per sold listing, each carrying the per-query aggregates so a single run
answers "what does X sell for?" — median, range, sample size and date span — plus
every individual comp.

### Access & cost

eBay blocks direct scraping of sold-listing search, so the actor uses a
managed-access service to reach it reliably — a tiny cost baked into the
per-result price. Runs on your Apify account; pay per sold listing returned.

# Actor input Schema

## `queries` (type: `array`):

What to look up sold prices for (e.g. "pokemon charizard psa 10", "iphone 14 pro 256gb").

## `maxItemsPerQuery` (type: `integer`):

Cap on sold listings returned per query.

## `maxPages` (type: `integer`):

How many result pages (60/page) to read per query.

## `condition` (type: `string`):

Optional eBay condition id: 1000=New, 1500=Open box, 3000=Used. Empty = any.

## `category` (type: `string`):

Optional eBay category id (\_sacat) to narrow results.

## `currency` (type: `string`):

Currency label applied to sold prices (the .com site lists in USD).

## Actor input object example

```json
{
  "queries": [
    "pokemon charizard"
  ],
  "maxItemsPerQuery": 120,
  "maxPages": 3,
  "currency": "USD"
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset of sold listings (item\_title, sold\_price, sold\_date, condition, median\_sold\_price, price\_vs\_median, item\_url).

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "pokemon charizard"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("s7_studio/ebay-sold-price-tracker").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": ["pokemon charizard"] }

# Run the Actor and wait for it to finish
run = client.actor("s7_studio/ebay-sold-price-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "pokemon charizard"
  ]
}' |
apify call s7_studio/ebay-sold-price-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,s7_studio/ebay-sold-price-tracker"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/gQvEUlhwXSRmbMkER/builds/DHrGwWvUWQeVWF2of/openapi.json