# Reverb Sold Prices Scraper (`piotrv1001/reverb-sold-prices-scraper`) Actor

The Reverb Sold Prices Scraper extracts completed Reverb sales for any guitar, pedal, amp or synth, capturing sold price, sale date, condition, shipping, variant (model, year, finish) and optional asking price and discount — ideal for gear dealers, flippers and appraisers.

- **URL**: https://apify.com/piotrv1001/reverb-sold-prices-scraper.md
- **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 sales

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

### 🚀 Reverb Sold Prices Scraper

Find out what used music gear actually sells for. The **Reverb Sold Prices Scraper** collects completed Reverb sales for any guitar, pedal, amp, synth or microphone: the final price paid, the sale date, condition, shipping and the exact variant (model, year and finish). It is built for dealers, flippers, insurers and appraisers who need real transaction prices, not asking prices.

### ✨ Features

- 💵 **Real sold prices**: The amount the buyer paid, including sales closed on an accepted offer. The asking price on a sold listing is often higher.
- 🎸 **Variant-level detail**: Every sale is tagged with its variant (model, year and finish), so a Candy Apple Red AmPro II and a sunburst one are not mixed up.
- 🧾 **Condition and shipping**: Condition (Brand New, Mint, Excellent, Very Good, Good, Fair, Poor, Non Functioning, B-Stock) and the shipping the buyer paid.
- 🔍 **Flexible input**: Paste Reverb product pages, product slugs or plain gear names like `strymon bigsky`.
- 📅 **Filters**: Limit results to certain conditions or to sales after a date.
- 🏷️ **Optional listing details**: Add the listing title, asking price, discount from the asking price and the shop name.
- 📋 **Run summary**: Each run saves a `RUN_SUMMARY` record. It shows every product matched, its total completed sales and how many were saved, so a product that didn't match is easy to spot.

### 🛠️ How It Works

1. **Enter products**: Reverb product pages (`https://reverb.com/p/fender-american-professional-ii-stratocaster`), slugs (`boss-ds-1-distortion`) or gear names (`boss ds-1`). A gear name is matched to the closest Reverb product. Check `productName` in the results.
2. **Set limits and filters**: Choose how many sales to save per product (newest first). Optionally pick conditions and a "Sold after" date.
3. **Run the scraper**: Get one row per sale, ready to export as JSON, CSV or Excel.

### 💰 Pricing

| Event           | Price  | When                                                                                                                 |
| --------------- | ------ | -------------------------------------------------------------------------------------------------------------------- |
| Sale            | $0.001 | Each sold item saved                                                                                                 |
| Listing details | $0.001 | Each sale enriched with listing title, asking price, discount and shop (only when **Include listing details** is on) |

1,000 sales cost $1, or $2 with listing details.

### 📊 Sample Output Data

One row per completed sale, with **Include listing details** turned on:

```json
[
    {
        "productName": "Strymon Big Sky Reverb",
        "productSlug": "strymon-big-sky-reverb",
        "productUrl": "https://reverb.com/p/strymon-big-sky-reverb",
        "brand": "Strymon",
        "saleId": "fd030f38-4b05-417f-a2b4-5ff36f136c7c",
        "variantId": "4873",
        "variantName": "Big Sky Reverb 2013 - Present Blue",
        "model": "Big Sky Reverb",
        "year": "2013 - Present",
        "finish": "Blue",
        "condition": "Excellent",
        "soldAt": "2026-09-20T07:40:31.000Z",
        "soldPrice": 320,
        "currency": "USD",
        "shippingPrice": 0,
        "listingId": "102060472",
        "listingUrl": "https://reverb.com/item/102060472-strymon-big-sky-reverb-2013-present-blue",
        "listingTitle": "Strymon Big Sky Reverb 2013 - Present - Blue",
        "askingPrice": 355,
        "askingCurrency": "USD",
        "discountPercent": 9.9,
        "listingState": "Sold",
        "shopName": "Joshua's Gear Garage",
        "scrapedAt": "2026-09-24T15:14:20.580Z"
    },
    {
        "productName": "Fender American Professional II Stratocaster",
        "productSlug": "fender-american-professional-ii-stratocaster",
        "productUrl": "https://reverb.com/p/fender-american-professional-ii-stratocaster",
        "brand": "Fender",
        "saleId": "1463e852-e16f-4fee-b7ed-30d4594ce133",
        "variantId": "455288",
        "variantName": "American Professional II Stratocaster with Ebony Fretboard 2023 Candy Apple Red with Black Headstock",
        "model": "American Professional II Stratocaster with Ebony Fretboard",
        "year": "2023",
        "finish": "Candy Apple Red with Black Headstock",
        "condition": "Excellent",
        "soldAt": "2026-09-23T20:35:47.000Z",
        "soldPrice": 1200,
        "currency": "USD",
        "shippingPrice": 61.73,
        "listingId": "101678846",
        "listingUrl": "https://reverb.com/item/101678846",
        "scrapedAt": "2026-09-24T15:08:00.254Z"
    }
]
```

### ❓ Good to Know

- **Prices are in USD.**
- **A listing can sell more than once.** Shops with several units of the same item sell them from one listing. Each sale has its own `saleId`, and `listingId` can repeat.
- **Reverb hides a small share of sales.** These are counted as `hiddenRecordsSkipped` in `RUN_SUMMARY` and never saved or charged.
- **Sellers choose the product their listing belongs to.** Now and then a listing is filed under a neighbouring model. Turn on listing details to check the seller's own title.
- **The discount is only shown when the asking price and sold price are in the same currency.**

Price your gear with real sales using the **Reverb Sold Prices Scraper** today! 🚀

# Actor input Schema

## `products` (type: `array`):

Reverb product pages (`https://reverb.com/p/fender-american-professional-ii-stratocaster`), product slugs (`boss-ds-1-distortion`) or gear names (`strymon bigsky`). A gear name is matched to the closest Reverb product; check `productName` in the results.

## `maxItems` (type: `integer`):

Maximum number of sales to save for each product, newest first.

## `conditions` (type: `array`):

Only save sales of gear in these conditions. Leave empty for all conditions.

## `soldAfter` (type: `string`):

Only save sales made on or after this date.

## `includeListingDetails` (type: `boolean`):

Also save each sold listing's title, asking price, discount from asking price and shop name. Charged as an extra event per sale.

## `proxyConfiguration` (type: `object`):

Proxy servers used to reach Reverb.

## Actor input object example

```json
{
  "products": [
    "https://reverb.com/p/fender-american-professional-ii-stratocaster",
    "boss ds-1"
  ],
  "maxItems": 50,
  "includeListingDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

No description

## `summary` (type: `string`):

No description

# 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 = {
    "products": [
        "https://reverb.com/p/fender-american-professional-ii-stratocaster",
        "boss ds-1"
    ],
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/reverb-sold-prices-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "products": [
        "https://reverb.com/p/fender-american-professional-ii-stratocaster",
        "boss ds-1",
    ],
    "maxItems": 50,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("piotrv1001/reverb-sold-prices-scraper").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 '{
  "products": [
    "https://reverb.com/p/fender-american-professional-ii-stratocaster",
    "boss ds-1"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call piotrv1001/reverb-sold-prices-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,piotrv1001/reverb-sold-prices-scraper"
        }
    }
}
```

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/UnTCqy1OqQh6mcLg1/builds/GvGXecu9RDzJ4FJzu/openapi.json