# GOAT Sneakers Scraper (`parseforge/goat-sneakers-scraper`) Actor

Scrapes GOAT sneaker listings by search term and returns each listing as a flat row with price, size, condition, and product details.

- **URL**: https://apify.com/parseforge/goat-sneakers-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 1 total users, 0 monthly users, 86.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.69 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

[![ParseForge](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg)](https://apify.com/parseforge?fpr=vmoqkp)

### GOAT Sneakers Scraper

**Scrape GOAT sneaker listings by search term, up to a million per run.** Every result comes with its price, size, condition, and full product details. No login or API key. Export to CSV, JSON, Excel, or XML.

GOAT's official API requires an app registration, OAuth, and rate-limits you. This reads the public sneaker search results directly, filtered by your search term, and returns each match in one fixed schema.

| Who uses it | What they scrape GOAT for |
|---|---|
| Sneaker resellers | Track current market prices for specific models |
| Market researchers | Analyze sneaker trends and availability |
| E-commerce analysts | Monitor competitor pricing on GOAT |
| Sneaker enthusiasts | Build personal databases of sneaker releases |

### What it does

This Actor collects GOAT sneaker listings by search term and returns each one as a flat row.

- 🔍 **Search by term:** Enter any sneaker name, brand, or model, like 'jordan 1' or 'yeezy'.
- 📊 **Structured output:** Each listing is returned as a flat row with price, size, condition, and product details.
- ⚡ **Scalable:** Set maxItems from 1 to 1,000,000 to control how many listings to scrape.
- 💾 **Multiple export formats:** Download your data as CSV, JSON, Excel, or XML.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

### What you can do with GOAT data

**📈 Track sneaker prices.**

A reseller runs the Actor daily with a search term like 'jordan 1' to monitor price changes and decide when to buy or sell.

**🔎 Research market trends.**

A market researcher scrapes listings for multiple brands to identify which sneaker models are most listed and at what price points.

**🛒 Monitor competitor inventory.**

An e-commerce analyst scrapes GOAT for specific sneakers to compare availability and pricing with other platforms.

**📚 Build a sneaker database.**

A sneaker enthusiast collects listings for a personal database of releases, including sizes and conditions.

### Why choose this scraper

| | What you get |
|---|---|
| **No API key needed** | Scrape public GOAT search results without registration or OAuth |
| **Flexible search** | Use any search term to target specific sneakers, brands, or models |
| **Scalable** | Scrape up to 1,000,000 listings per run |
| **Structured data** | Get consistent fields for price, size, condition, and more |

### How it compares

No other Store actor targets GOAT the same way, so the honest comparison is with the alternatives teams actually weigh.

| | GOAT Sneakers Scraper | Build it in-house | By hand |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When GOAT changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |

### Configure the run

Drive the Actor from a search term, and set maxItems to limit how many listings are returned. The Input tab lists every parameter.

A first run with the defaults:

```json
{
 "query": "jordan 1",
 "maxItems": 10
}
```

A larger pull:

```json
{
 "query": "jordan 1",
 "maxItems": 200
}
```

### Pricing

Pay-per-result: **$0.0085 per result** collected. You pay only for the results written to your dataset.

| Results collected | Approximate cost |
|---|---|
| 100 results | $0.85 |
| 1,000 results | $8.50 |
| 10,000 results | $85.00 |

New Apify accounts start with $5 in free credit.

### Free users

Free-plan runs return up to 10 results as a preview. [Upgrade your Apify plan](https://console.apify.com/sign-up?fpr=vmoqkp) to collect up to 1,000,000 results per run.

### Run it

1. [Create a free Apify account with $5 in credit](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the [GOAT Sneakers Scraper](https://apify.com/parseforge/goat-sneakers-scraper?fpr=vmoqkp).
3. Set your inputs and any filters, then click **Start**.
4. Export the results as CSV, Excel, JSON, or XML from the **Dataset** tab.

Run it programmatically through the [Apify API](https://docs.apify.com/api/v2) (`run-sync-get-dataset-items`) or the [ApifyClient](https://docs.apify.com/api/client/js) for JavaScript and Python.

### Use with AI agents (MCP)

Give an AI agent live access to GOAT through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

```bash
claude mcp add --transport http apify "https://mcp.apify.com/?tools=parseforge/goat-sneakers-scraper"
```

Then prompt it in plain language to run the scraper and read back the results.

### Troubleshooting

**Why am I getting no results?**

Your search term may be too specific or misspelled. Try a broader term like 'jordan' instead of 'jordan 1 retro high og chicago'. Also check that maxItems is set to at least 1.

**Why did the run stop before reaching maxItems?**

GOAT may have fewer listings than your maxItems value, or the site may have temporarily blocked the scraper. Try again later or reduce maxItems.

**Why are some fields empty?**

Not all listings have complete information on GOAT. Empty fields mean the data was not available on the page.

**Why am I getting an error?**

Check your input: the search term should be a non-empty string and maxItems should be between 1 and 1,000,000. If the problem persists, contact support.

**Can I scrape sold listings?**

This Actor scrapes current search results, which typically show available listings. Sold listings are not included.

### FAQ

| Question | Answer |
|---|---|
| Do I need a GOAT account or API key? | No. This Actor scrapes public search results and does not require any login or API key. |
| What search terms can I use? | You can use any text, such as a brand, model, or keyword. For example, 'jordan 1', 'yeezy', or 'nike air max'. |
| How many listings can I scrape? | You can set maxItems from 1 to 1,000,000. Free users are limited to 10 items preview, while paid users can scrape up to the maximum. |
| What data is returned for each sneaker? | Each listing includes fields such as price, size, condition, and product details. The exact fields are shown in the sample output. |
| Can I export the data? | Yes, you can export the scraped data to CSV, JSON, Excel, or XML. |
| Is this Actor legal to use? | You should comply with GOAT's terms of service and applicable laws. This Actor only accesses publicly available data. |
| How often can I run this Actor? | You can schedule runs as frequently as you need, subject to Apify platform limits and your plan. |
| Can I scrape multiple search terms in one run? | Currently, the Actor accepts one search term per run. You can run it multiple times with different terms. |
| Does this Actor handle pagination? | Yes, it automatically paginates through search results up to the maxItems limit you set. |
| What if I get no results? | Check your search term for typos or try a broader term. Also ensure maxItems is set to at least 1. |

### Related actors

Browse the full [ParseForge collection](https://apify.com/parseforge?fpr=vmoqkp) for more scrapers.

🆘 **Need help?** Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ **Disclaimer.** This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by GOAT Group. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.

# Actor input Schema

## `query` (type: `string`):

Search term entered into GOAT sneaker search. Trimmed before use.

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

Free users limited to 10 items preview. Paid users optional up to 1,000,000.

## Actor input object example

```json
{
  "query": "jordan 1",
  "maxItems": 10
}
```

# 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 = {
    "query": "jordan 1",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/goat-sneakers-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 = {
    "query": "jordan 1",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/goat-sneakers-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 '{
  "query": "jordan 1",
  "maxItems": 10
}' |
apify call parseforge/goat-sneakers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/goat-sneakers-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/o3Yyw3KqxhJi8u6i2/builds/1vKho93aCYLVcnnpG/openapi.json