# eBay 90-Day Realized Sold Comps & Accepted Best Offer Price Val

**Use case:** 

Extract 90-day eBay completed/sold prices including true Accepted Best Offer prices, Q1/Q3 Interquartile Range (IQR) spread, and sell-through velocity.

## Input

```json
{
  "keywords": [
    "Fujifilm X100V Silver Digital Camera",
    "Sony PlayStation 5 Disc Edition Console"
  ],
  "condition": "used",
  "filterDealers": true,
  "monitorMode": false,
  "underpricedThresholdPct": 25,
  "watchlistId": "ebay-best-offer-comps",
  "onlyNew": true
}
```

## Output

```json
{
  "keyword": {
    "label": "Keyword / SKU",
    "format": "string"
  },
  "condition": {
    "label": "Condition",
    "format": "string"
  },
  "median_realized_sold_usd": {
    "label": "Median Sold ($)",
    "format": "number"
  },
  "iqr_spread_usd": {
    "label": "IQR Spread ($)",
    "format": "number"
  },
  "lowest_active_buy_now_usd": {
    "label": "Lowest Buy-Now ($)",
    "format": "number"
  },
  "net_flip_profit_after_fees_usd": {
    "label": "Net Flip Profit ($)",
    "format": "number"
  },
  "is_underpriced_deal": {
    "label": "Underpriced Deal?",
    "format": "boolean"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The eBay & Mercari Sold Listings Scraper — Comps & Deal Sniper Actor is ready to run with the inputs already set for "eBay 90-Day Realized Sold Comps & Accepted Best Offer Price Val". [Sign up or log in](https://console.apify.com/create-task-from-example/VwQK3puE4RIyXceoi) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "eBay 90-Day Realized Sold Comps & Accepted Best Offer Price Val" task

The eBay & Mercari Sold Listings Scraper — Comps & Deal Sniper Actor will start running based on the input automatically. You can also change all the input fields, like product keywords / model numbers / skus, item condition filter, and more, to match your specific use case.

### 3. Receive the "eBay 90-Day Realized Sold Comps & Accepted Best Offer Price Val" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as keyword / sku, condition, median sold ($), and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "eBay 90-Day Realized Sold Comps & Accepted Best Offer Price Val" task via API](https://apify.com/cea_digital/ebay-sold-listings-comps-scraper.md).

## FAQ

### Am I charged on empty results or unfound records?

No. You pay $0.00 on misses — Pay-Per-Event charges only fire when verified records are returned.

### Can I run this task directly from Claude, Cursor, n8n, or Google Sheets?

Yes. Connect via mcp.apify.com or import the 1-click n8n & Google Sheets templates at https://ceadigital.io/tools.

## About this Actor

This example demonstrates how to use [eBay & Mercari Sold Listings Scraper — Comps & Deal Sniper](https://apify.com/cea_digital/ebay-sold-listings-comps-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/cea_digital/ebay-sold-listings-comps-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/cea_digital/ebay-sold-listings-comps-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).