# Academy Sports + Outdoors Scraper (`muhammadafzal/academy-sports-outdoors-scraper`) Actor

Scrape public Academy product listings for names, brands, SKUs, prices, availability, ratings, images, and URLs for catalog research and price monitoring.

- **URL**: https://apify.com/muhammadafzal/academy-sports-outdoors-scraper.md
- **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 product extracteds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Academy Sports + Outdoors Scraper

Scrape public Academy Sports + Outdoors search, category, and product pages into structured catalog records for product research, price monitoring, and retail intelligence workflows.

### What it extracts

Each record can include the product name, public SKU/MPN, brand, description, product URL, price and currency, price range, availability, images, aggregate rating, review count, source URL, and collection timestamp. Values that are not published are returned as `null`.

### Input

Use `searchQueries` for terms such as `running shoes` or `camp chairs`, or supply public Academy URLs in `startUrls` such as `https://www.academy.com/search?searchTerm=running%20shoes`. `maxResults` defaults to 25 and is capped at 200. `maxPagesPerInput` defaults to one page and is capped at 10.

```json
{
  "searchQueries": ["running shoes"],
  "maxResults": 25,
  "maxPagesPerInput": 1
}
```

### Pricing

The actor defines a $0.00005 start event and a $0.005 `product-extracted` event for each unique product record written. A 25-product run has a listed event cap of $0.12505 before any platform usage or proxy costs. The actor does not manually charge the synthetic start event.

### Reliability and limitations

The actor uses Academy’s public product-listing search endpoint first, then public HTML and embedded JSON-LD as fallbacks. It tries direct access and automatically escalates to the configured Academy-compatible Apify Unblocker route when available. Academy may still return a human-verification page or deny automated requests; in that case the actor reports a `blocked` summary with zero fabricated records and no result charges. It does not log in, bypass CAPTCHA or access controls, use checkout/account pages, or perform purchases.

### Compliance

Use only public pages and confirm that collection and downstream use comply with Academy’s terms, applicable law, and your authorization. Do not submit credentials, cookies, or private account data.

### Use cases

- Monitor public products, prices, availability, sellers, and catalog changes.
- Schedule repeatable collection and export results to downstream workflows.
- Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
- Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.
- Feed schema-shaped records into a database, spreadsheet, BI tool, or AI workflow with the source URL retained for verification.

### Output example

```json
{
  "productId": "Example Product ID",
  "name": "Example Product name",
  "url": "Example Product URL",
  "brand": "Example Brand",
  "sku": "Example SKU/MPN",
  "description": "Example Description",
  "price": 1,
  "priceCurrency": "Example Currency",
  "lowPrice": 1,
  "highPrice": 1,
  "availability": "Example Availability",
  "imageUrls": []
}
```

The exact fields depend on the selected input and what the public source exposes. Use the dataset schema as the machine-readable contract and retain source URLs for verification.

### Run Academy Sports + Outdoors Scraper with the Apify API

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/academy-sports-outdoors-scraper').call({
  "searchQueries": [
    "running shoes"
  ],
  "startUrls": [],
  "maxResults": 25,
  "maxPagesPerInput": 1,
  "maxRequestRetries": 2,
  "proxyConfiguration": {}
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

### Support

When reporting a problem, include the **Actor run ID**, a redacted input, the expected result, and a small public example URL when applicable. Do not post API tokens, cookies, credentials, or personal data in an issue.

### Frequently asked questions

#### Can I schedule Academy Sports + Outdoors Scraper?

Yes. Use an Apify schedule to run the same saved input at a chosen interval, then connect a webhook or integration to process the dataset when the run finishes.

#### How should I test a new input?

Begin with the prefilled example or a small limit. Confirm that the output fields, source coverage, runtime, and live charges match your workflow before increasing the scope.

#### How do I export the results?

Open the run's default dataset in Apify Console and export JSON, CSV, Excel, XML, or RSS. Applications can retrieve the same records through the Apify API client or REST dataset endpoint.

#### Can an AI agent call this Actor?

Yes. Add `muhammadafzal/academy-sports-outdoors-scraper` through the hosted Apify MCP server or call it through the API. The Actor's input and dataset schemas help agents construct valid requests and interpret returned records.

# Actor input Schema

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

Product searches, one per line. Example: 'running shoes'. Used when no matching start URL is supplied.

## `startUrls` (type: `array`):

Optional public Academy search, category, or product URLs. Example: https://www.academy.com/search?searchTerm=running%20shoes.

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

Maximum unique product records to write. Defaults to 25; maximum 200.

## `maxPagesPerInput` (type: `integer`):

Number of search pages to request for each input URL. Defaults to 1; maximum 10.

## `maxRequestRetries` (type: `integer`):

Retries for temporary Academy request failures. Defaults to 2; maximum 3.

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

Optional Apify proxy override. The actor tries direct access first and automatically falls back to the configured Academy-compatible Unblocker route when available.

## Actor input object example

```json
{
  "searchQueries": [
    "running shoes"
  ],
  "startUrls": [],
  "maxResults": 25,
  "maxPagesPerInput": 1,
  "maxRequestRetries": 2,
  "proxyConfiguration": {}
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

Schema-validated product records in the default dataset.

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

Run diagnostics and counts in SUMMARY.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammadafzal/academy-sports-outdoors-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("muhammadafzal/academy-sports-outdoors-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 '{}' |
apify call muhammadafzal/academy-sports-outdoors-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammadafzal/academy-sports-outdoors-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/RbkdxWoiNsasaYGCR/builds/vL6hrbcDNWCxdALDW/openapi.json