# Fanatics Collect Scraper — Card Auctions & Marketplace (`lulzasaur/fanaticscollect-scraper`) Actor

Scrape Fanatics Collect (fanaticscollect.com, formerly PWCC) card & memorabilia lots. Search by keyword; filter by category, grade & marketplace. Per lot: title, category, current bid, grade + service (PSA/BGS/CGC/SGC), bid count, auction, close date, image, URL.

- **URL**: https://apify.com/lulzasaur/fanaticscollect-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 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/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

## Fanatics Collect Scraper — Card Auctions & Marketplace

Scrape **[Fanatics Collect](https://www.fanaticscollect.com)** (formerly **PWCC Marketplace**) — one of the largest platforms for graded trading cards and sports/entertainment memorabilia. Pull auction lots and buy-now listings with prices, grades, and auction close dates.

### What it does

Search by keyword (or browse everything) and get structured data for each lot:

- **Title**, subtitle, subject/player, year, card number, serial
- **Category** (e.g. Baseball) + parent category (Sports Cards, Trading Card Games, Video Games, Comics)
- **Current bid**, starting bid, current price, and Fanatics **estimated value**
- **Grade** + **grading service** (PSA, BGS, CGC, SGC, PSA/DNA, CSG, …)
- **Bid count**, allow-offers flag, Fanatics Authentic flag
- **Auction name**, start date, and **close date** (`auctionEndsAt`)
- **Status** (Live / Sold), marketplace (Weekly / Premier / Fixed), lot number
- **Image URL** and direct **lot URL**

### Input

| Field | Description |
|-------|-------------|
| `searchQueries` | Keywords, e.g. `["michael jordan", "charizard"]`. Use `[""]` to browse all lots. |
| `maxResults` | Max records per run (default 100). |
| `marketplace` | `auctions` (Weekly + Premier), `buynow` (Fixed price), or `all`. |
| `status` | `Live`, `Sold`, or `Any`. Use `Sold` for sold-price comps. |
| `categoryParent` | Optional: Sports Cards / Trading Card Games / Video Games / Comics / Other. |
| `gradingService` | Optional: filter to PSA, BGS, CGC, SGC, etc. |
| `sortBy` | Relevance, Price High→Low, Price Low→High, or Newest. |

### Example output

```json
{
  "lotId": 12345,
  "title": "2007 Fleer '87 Retro Michael Jordan #71 PSA 10 GEM MINT",
  "category": "Basketball",
  "categoryParent": "Sports Cards",
  "gradingService": "PSA",
  "grade": 10,
  "currentBid": 210,
  "startingBid": 5,
  "estimatedValue": 250,
  "bidCount": 22,
  "status": "Live",
  "marketplace": "WEEKLY",
  "auctionName": "Weekly Sunday Auction #221",
  "auctionEndsAt": "2026-04-13T02:00:00.000Z",
  "lotNumber": "WA221 Lot: 2353",
  "url": "https://www.fanaticscollect.com/weekly/8abbc084-8b73-11f1-ae00-0a75b240a311",
  "imageUrl": "https://dilxwvfkfup17.cloudfront.net/..."
}
```

### Use cases

- Track live auction lots & current bids for cards you follow
- Build sold-price comp datasets for card arbitrage / valuation
- Monitor new consignments by player, set, or grade
- Feed pricing / market-analysis tools and dashboards

Not affiliated with Fanatics Collect. For research and personal use.

# Actor input Schema

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

Keywords to search Fanatics Collect, e.g. 'michael jordan', 'pokemon charizard', 'psa 10 rookie'. Leave a single empty string \[""] to browse all lots. Each query runs a separate search.

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

Maximum number of lot records to return per run (shared across all queries). Default 100.

## `marketplace` (type: `string`):

Which marketplace(s) to scrape. 'Auctions' = Weekly + Premier auction lots (bidding). 'Buy Now' = fixed-price marketplace. 'All' = everything.

## `status` (type: `string`):

'Live' = currently available/bidding. 'Sold' = completed/sold lots (great for sold-price comps). 'Any' = both.

## `categoryParent` (type: `string`):

Filter by top-level category. Leave blank for all.

## `gradingService` (type: `string`):

Filter to a specific grading company (e.g. only PSA-graded lots). Leave blank for all.

## `sortBy` (type: `string`):

Result ordering.

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

Proxy settings. Fanatics Collect's search API (Algolia) is open with no anti-bot protection, so NO proxy is needed. Enable a proxy only if you scale to very high volume.

## Actor input object example

```json
{
  "searchQueries": [
    "jordan"
  ],
  "maxResults": 100,
  "marketplace": "auctions",
  "status": "Live",
  "categoryParent": "",
  "gradingService": "",
  "sortBy": "relevance",
  "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": [
        "jordan"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/fanaticscollect-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": ["jordan"],
    "proxyConfiguration": { "useApifyProxy": False },
}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/fanaticscollect-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/3VMZzADgTEFEJXCOV/builds/VFR51Ybg3VR4vJTpl/openapi.json