# Fanatics Collect Scraper - Card Auctions & Sold Prices (`lulzasaur/fanatics-collect-scraper`) Actor

Scrape Fanatics Collect auction lots and realized (sold) prices for sports cards. Search by keyword, sport, grading company, status (live/sold), or auction. Returns price, grade, player, year, set, auction name, close date, and image per lot.

- **URL**: https://apify.com/lulzasaur/fanatics-collect-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 $5.00 / 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 — Sports Card Auctions & Realized Prices

Scrape **[Fanatics Collect](https://www.fanaticscollect.com)** auction lots and **realized (sold) prices** for trading cards and collectibles. Search live auctions for current bids, or pull historical sold lots to see exactly what cards sold for — a powerful comp/price-guide dataset for resellers, graders, and collectors.

Covers all three marketplaces:

- **Weekly Auction** — the high-volume weekly card auctions
- **Premier Auction** — premium, high-end lots
- **Fixed Price / Buy Now** — instant-buy listings

### What you get per lot

| Field | Description |
|-------|-------------|
| `lotId`, `integerId` | Listing identifiers |
| `title`, `subtitle` | Full lot title + sub-line (often population info) |
| `player`, `teams` | Player / subject and associated teams |
| `year`, `cardNumber`, `serialNumber` | Parsed card details |
| `category`, `categoryParent` | Sport / category (Baseball, Basketball, Pokemon, ...) |
| `grade`, `gradingCompany` | Grade + grader (PSA, BGS, SGC, CGC, PSA/DNA, ...) — from the index, with title-regex fallback |
| `status`, `isSold` | Live or Sold |
| `currentBid`, `startingBid` | Current high bid / opening bid |
| `realizedPrice` | **Final sale price** (purchase total) for sold lots |
| `estimatedValue` | Fanatics' guide value, when available |
| `bidCount`, `favoritedCount` | Engagement |
| `marketplace`, `auctionName`, `auctionId`, `lotNumber` | Auction context |
| `auctionStart`, `closeDate`, `soldDate`, `listedAt` | Timestamps (ISO) |
| `listingUrl`, `imageUrl` | Canonical listing URL + primary image |
| `scrapedAt` | When this row was captured |

### Input

| Field | Description |
|-------|-------------|
| `search` | Free-text keyword (e.g. `Michael Jordan PSA 10`). Optional. |
| `status` | `live`, `sold`, or `any`. Default `live`. |
| `marketplace` | `any`, `WEEKLY`, `PREMIER`, `FIXED`. |
| `category` | Sport/category filter (e.g. `Basketball`). |
| `gradingService` | Grader filter (e.g. `PSA`). |
| `auctionId` | Pull every lot from one auction by its UUID. |
| `maxResults` | Cap on rows (default 100). |
| `includeListingUrls` | Resolve canonical URLs via GraphQL (default true). |
| `proxyConfiguration` | Proxy settings (Apify Proxy on by default). |

### Example use cases

- **Card comps / price guide** — set `status: sold` + a keyword to see real realized prices.
- **Live auction sniping** — set `status: live` + `marketplace: WEEKLY` to track open lots and current bids.
- **Auction archive** — supply an `auctionId` to export an entire auction's results.

### How it works

The scraper reads Fanatics Collect's public Algolia search index (`prod_item_state_v1`) and
optionally hydrates canonical listing URLs through the site's public GraphQL API. No login required.

# Actor input Schema

## `search` (type: `string`):

Free-text search across lot titles (player, set, card). Examples: 'Michael Jordan PSA 10', '1986 Fleer', 'Pokemon Charizard'. Leave blank to browse all lots matching the filters below.

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

live = lots currently up for bid. sold = historical realized (hammer) prices. any = both.

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

WEEKLY = Weekly Auction, PREMIER = Premier Auction (high-end), FIXED = Buy Now / fixed price. any = all.

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

Filter by category as Fanatics labels it. Examples: Baseball, Basketball, Football, Hockey, Soccer, Pokemon, Non-Sport, Boxing. Leave blank for all categories.

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

Filter by the grading company on file. Examples: PSA, BGS, SGC, CGC, PSA/DNA. Leave blank for all (including raw/ungraded).

## `auctionId` (type: `string`):

Limit results to one auction by its UUID (the auctionId returned on each lot). Useful to pull every lot from a single auction.

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

Maximum number of lots to return. Each Algolia page holds up to 100; results are paginated automatically.

## `includeListingUrls` (type: `boolean`):

Look up the canonical listing URL (slug) for each lot via the site's GraphQL API. Adds a few extra requests. Turn off for maximum speed if you only need IDs and prices.

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

Proxy settings. Apify Proxy (datacenter) is enabled by default and is sufficient for this source.

## Actor input object example

```json
{
  "search": "Michael Jordan PSA 10",
  "status": "live",
  "marketplace": "any",
  "maxResults": 100,
  "includeListingUrls": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "search": "Michael Jordan PSA 10"
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/fanatics-collect-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 = { "search": "Michael Jordan PSA 10" }

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/fanatics-collect-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 '{
  "search": "Michael Jordan PSA 10"
}' |
apify call lulzasaur/fanatics-collect-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/fanatics-collect-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/P5h3ANRTEPCRd3iQj/builds/Vi7pALirmHJvE7NzH/openapi.json