# Beckett Marketplace Scraper - Trading Card Prices (`lulzasaur/beckett-scraper`) Actor

Scrape Beckett Marketplace (marketplace.beckett.com) trading card listings from the Beckett/BGS ecosystem. Get card name, sport, set/brand, year, card number, player, condition/grade, price, seller and image for baseball, basketball, football, hockey and gaming cards.

- **URL**: https://apify.com/lulzasaur/beckett-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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/actors/running/actors-in-store.md#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

## Beckett Marketplace Scraper

Scrape trading card listings from **Beckett Marketplace** (`marketplace.beckett.com`) — the marketplace arm of Beckett, the company behind **BGS** grading. Search by player, set, team or keyword and get clean, structured card data for baseball, basketball, football, hockey and gaming cards.

Beckett/BGS is one of the four major card graders (alongside PSA, CGC and SGC), which makes this data useful for cross-grader price comparison and card-arbitrage analysis.

### What it does

For each search query it collects live marketplace listings, paginating 100 per page up to your limit. Optionally it visits each listing's detail page to enrich every row with sport, team, brand, manufacturer, player and condition/grade.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQueries` | array | Card / player / set / team search terms (e.g. `"michael jordan"`, `"topps chrome"`). |
| `maxResults` | integer | Max listings per query (0 = unlimited). Paginates 100/page. Default 100. |
| `scrapeDetails` | boolean | Visit each listing page for sport, team, brand, manufacturer, player and grade. Default false. |
| `proxyConfiguration` | object | Optional. Not needed — the site is server-rendered with no anti-bot protection. |

#### Example input

```json
{
  "searchQueries": ["michael jordan", "mike trout rookie"],
  "maxResults": 100,
  "scrapeDetails": true
}
```

### Output

Each dataset item represents one marketplace listing:

```json
{
  "title": "1994 Fun Pack #170 Michael Jordan RC",
  "year": "1994",
  "cardNumber": "170",
  "setName": "Fun Pack",
  "player": "Michael Jordan RC",
  "sport": "Baseball",
  "team": "Chicago White Sox",
  "brand": "Fun Pack",
  "manufacturer": "Upper Deck Co.",
  "grade": "NM-MT",
  "gradeDescription": "Raw Grade : Near Mint/Mint",
  "grader": "Raw",
  "price": 9.99,
  "currency": "USD",
  "listingId": "107257763",
  "imageUrl": "https://img.beckett.com/images/items/.../front.jpg",
  "url": "https://marketplace.beckett.com/item/1343/...",
  "searchQuery": "michael jordan",
  "scrapedAt": "2026-07-09T00:00:00.000Z"
}
```

Fields `sport`, `team`, `brand`, `manufacturer`, `grade`, `gradeDescription` and `grader` are populated only when `scrapeDetails` is enabled. Without it, `year`, `cardNumber`, `setName` and `player` are parsed from the listing title.

### Notes

- Data is sourced from the **public** Beckett Marketplace search; no login required.
- Graded listings expose the grade (e.g. BGS/PSA/SGC/CGC) in `grade`/`gradeDescription`; raw cards show the raw condition (e.g. NM-MT).
- Prices are seller asking prices in USD.

# Actor input Schema

## `searchQueries` (type: `array`):

List of card, player, set or team search terms (e.g. 'michael jordan', 'topps chrome', 'mike trout rookie'). Each query is searched on Beckett Marketplace.

## `maxResults` (type: `integer`):

Maximum number of card listings to collect per search query (0 = unlimited). The scraper paginates 100 listings per page.

## `scrapeDetails` (type: `boolean`):

If enabled, visits each listing's detail page to extract sport, team, brand, manufacturer, player and condition/grade. Slower but much richer data. If disabled, fields are parsed from the listing title.

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

Proxy settings. Beckett Marketplace is server-rendered with no anti-bot protection, so proxies are not needed.

## Actor input object example

```json
{
  "searchQueries": [
    "michael jordan"
  ],
  "maxResults": 100,
  "scrapeDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (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 = {
    "searchQueries": [
        "michael jordan"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/beckett-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 = { "searchQueries": ["michael jordan"] }

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/beckett-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 '{
  "searchQueries": [
    "michael jordan"
  ]
}' |
apify call lulzasaur/beckett-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/beckett-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/6FFKxJUZKno9j5QQe/builds/YegIEykmZUMgAzXe4/openapi.json