Dick's Sporting Goods Scraper – Prices, Specs, Stock & Reviews 🏀

🎉 Turn any Dick's Sporting Goods search into a clean, structured product dataset — prices, discounts, ratings, images, colors, specs & stock in one run.

Built for pricing analysts, e-commerce teams, and sporting-goods researchers who need reliable retail product data without writing a single line of code.

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📋 Overview

Need Dick's Sporting Goods product data at scale? This scraper pulls full product records from dickssportinggoods.com — just type what you'd search for ("running shoes", "basketball hoop", "yoga mat"), paste a search URL, or drop in product links — and get back clean JSON, CSV, or Excel with everything from live prices to per-color variants and labeled specifications.

Why thousands of professionals choose us:

• ✅ 40+ data fields per product: prices, discounts, MAP, ratings, reviews, images, colors, specs, availability, and more — nothing left on the table
• ⚡ Two modes, one dataset: fast bulk Overview search or targeted Detail records — both return the same rich fields
• 🎯 Native Dick's filters built in: brand, gender, sport/activity, color, price range, on-sale-only, and Dick's own sort orders
• 💰 Pay-per-result pricing: only pay for products you actually get — no wasted spend, no monthly lock-in
• 💎 Zero-code, always current: real-time prices and stock straight from Dick's, exportable in one click
• ✨ NEW: on-sale detection with original list price and MAP price — spot every markdown instantly

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✨ Features

• 🔎 Keyword Search: Scrape any Dick's search term — "trail running shoes", "kids cleats", "kettlebell" — one keyword per line, each runs as its own search
• 🔗 URL Input: Paste Dick's search URLs or product (PDP) URLs directly — perfect for tracking a fixed watchlist
• 🏷️ Live Pricing & Discounts: Current price, price range, original list price, MAP price, and an on-sale flag on every product
• ⭐ Ratings & Reviews: Average star rating and total review count for social-proof and demand analysis
• 🎨 Color & Variant Data: Every color variant, color count, and total buyable variants (colors × sizes)
• 🖼️ Full Image Gallery: High-resolution product image URLs, hero image first
• 📦 Availability & Stock: In-stock flag, coming-soon detection, and best-effort per-size stock in Detail mode
• 📊 Labeled Specifications: Structured spec tables (Shoe Width, Surface Type, Cushioning, and more) plus marketing highlight bullets
• 🧭 Smart Filtering: Brand, gender, sport/activity, color, min/max price, on-sale-only, and native sort (best match, price low→high, price high→low, top rated, newest)
• 📁 Clean Exports: Download results as JSON, CSV, or Excel directly from the Apify dataset

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🎬 Quick Start

Enter one or more search keywords, pick a mode, hit Start, and download your dataset. That's it — no setup, no code to write. Prefer the API? One call gets you running:

curl -X POST "https://api.apify.com/v2/acts/sian.agency~dicks-sporting-goods-product-scraper/runs?token=YOUR_TOKEN" \
-H 'Content-Type: application/json' \
-d '{"keywords": ["running shoes"], "scrapeMode": "overview", "maxResults": 25}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Enter your search

Type Dick's search keywords (one per line), or paste Dick's search URLs or product URLs.

Step 2: Set your filters

Optionally narrow by brand, gender, sport/activity, color, price range, or on-sale-only — and choose a sort order.

Step 3: Run and export

Click Start, then download your results as JSON, CSV, or Excel from the dataset.

That's it! In minutes, you'll have:

• A clean product dataset with 40+ fields per item
• Live prices, discounts, ratings, and stock status
• Full color, image, and specification data ready for analysis

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🔀 Overview vs. Detail Mode

Pick the mode that matches your job — both return the same rich fields.

	Overview (fast)	Detail (targeted)
Best for	Bulk search, catalog sweeps, price monitoring	Deep per-product records, spec extraction, watchlists
Speed	Fastest — full product cards from search	Targeted — one product at a time
Per-size stock	Not included	Best-effort per-size availability
Input	Keywords or search URLs	Product URLs (always Detail-enriched)
Guarantee	Broad coverage across results	Guaranteed-complete family record

Tip: run Overview to discover and price the whole assortment, then feed the product URLs into Detail to enrich the ones you care about most.

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📥 Input Configuration

Field	Type	Required	Description
keywords	array	No	Free-text Dick's searches (e.g. running shoes, basketball hoop). One per line — each runs as its own search.
scrapeMode	string	No	overview (fast search) or detail (targeted per-product). Default: overview.
sort	string	No	Native Dick's sort: best_match, price_low, price_high, top_rated, newest.
brand	string	No	Restrict to a single brand (e.g. Nike, adidas, HOKA).
gender	string	No	Gender facet (e.g. Men's, Women's, Boys', Girls').
activity	string	No	Activity/sport facet (e.g. Running, Basketball, Training).
color	string	No	Color facet (e.g. Black, White, Blue).
minPrice	integer	No	Only return products at or above this price (USD).
maxPrice	integer	No	Only return products at or below this price (USD).
onSale	boolean	No	Restrict results to items currently on sale.
category	string	No	Advanced: a Dick's category value to scope results, applied on top of a keyword.
searchUrls	array	No	Advanced: paste Dick's search URLs to scrape them directly.
productUrls	array	No	Advanced: paste Dick's product (PDP) URLs — always returned with Detail enrichment.
maxResults	integer	No	Max products across all inputs. FREE: up to 25. PAID: unlimited.

Example — keyword search with filters:

{
  "keywords": ["running shoes"],
  "scrapeMode": "overview",
  "brand": "HOKA",
  "gender": "Women's",
  "onSale": true,
  "sort": "price_low",
  "maxResults": 50
}

Example — targeted product URLs (Detail mode):

{
  "productUrls": [
    "https://www.dickssportinggoods.com/p/hoka-womens-clifton-10-running-shoes-25fhqwclftn10blckftw/25fhqwclftn10blckftw"
  ],
  "scrapeMode": "detail"
}

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📤 Output

Results are saved to the Apify dataset with 40+ fields per product, exportable as JSON, CSV, or Excel. Every field below is available in both Overview and Detail mode.

Field	Type	Description
name / productTitle	string	Full product name as shown on Dick's
sku	string	Dick's part number (child SKU id)
parent_partnumber	string	Style / family id used in the product URL
brand	string	Manufacturer / brand name
price	number	Lowest current offer price across variants (USD)
price_max	number	Highest current offer price across variants (USD)
original_price	number	List (strikethrough) price when on sale (USD)
map_price	number	Minimum advertised price, when present (USD)
on_sale	boolean	Whether the product is currently discounted
currency	string	ISO currency code (USD)
rating	number	Average customer rating (0–5)
review_count	integer	Number of customer ratings/reviews
url	string	Direct link to the product page
images	array	Full image gallery (hero first)
image_count	integer	Number of product images returned
colors	array	Available color variant names
color_count	integer	Number of color variants
sku_count	integer	Total buyable variants (colors × sizes)
sizes	array	Per-size availability (Detail mode, best-effort)
in_stock	boolean	Whether the product is available to buy
is_coming_soon	boolean	Whether the product is a pre-release/coming-soon item
availability	string	Availability / badge status text
category	string	Product category (e.g. WomensRunning)
gender	string	Gender classification (e.g. Women's)
activity	string	Sport / activity (e.g. Running)
breadcrumbs	array	Category breadcrumb trail
specs	object	Labeled attribute table (Shoe Width, Surface Type, Cushioning, …)
highlights	array	Marketing feature bullets
badge	string	Merch badge (e.g. Extended Sizes, New Color)
thumbnail	string	Primary product image URL (preview size)
metadata	object	Run context: mode, search terms, sort, filters, and scrape timestamp

Example output:

{
  "name": "HOKA Women's Clifton 10 Running Shoes",
  "sku": "26285295",
  "parent_partnumber": "25FHQWCLFTN10BLCKFTW",
  "brand": "Hoka",
  "url": "https://www.dickssportinggoods.com/p/hoka-womens-clifton-10-running-shoes-25fhqwclftn10blckftw/25fhqwclftn10blckftw",
  "price": 99.98,
  "price_max": 123.99,
  "original_price": 154.99,
  "map_price": 123.95,
  "currency": "USD",
  "on_sale": true,
  "rating": 4.74,
  "review_count": 1774,
  "images": [
    "https://dks.scene7.com/is/image/dkscdn/25FHQWCLFTN10BLCKFTW?$UTPMain$",
    "https://dks.scene7.com/is/image/dkscdn/25FHQWCLFTN10BLCKFTW_White_White_is?$UTPMain$"
  ],
  "image_count": 22,
  "colors": ["Black/Black", "White/White", "Ash Grey/White", "Beige/Pink"],
  "color_count": 20,
  "sku_count": 197,
  "in_stock": true,
  "is_coming_soon": false,
  "availability": "Extended Sizes",
  "category": "WomensRunning",
  "gender": "Women's",
  "activity": "Running, Walking, Casual",
  "specs": {
    "Shoe Width": "Wide",
    "Running Type": "Neutral",
    "Surface Type": "Road",
    "Cushioning": "Moderate Cushioning & Flexibility"
  },
  "highlights": [
    "Improved heel and forefoot fit",
    "American Podiatric Medical Association (APMA) Seal of Acceptance",
    "Zonal rubber placement for weight savings and durability"
  ]
}

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💼 Use Cases & Examples

1. Price & Discount Monitoring

Retailers and resellers tracking Dick's prices and markdowns over time.

Input: Keywords or product URLs for your watchlist, onSale optional Output: Current price, original list price, MAP price, and on-sale flag per product Use: Detect price drops the moment they happen and time your own promotions.

2. Competitor Pricing Intelligence

Sporting-goods brands and marketplaces benchmarking against Dick's assortment.

Input: Category keywords with brand and price filters Output: Full price range, discount depth, and stock status across competing SKUs Use: Position your pricing and spot where competitors are undercutting you.

3. Catalog & Assortment Research

Merchandising and category teams mapping what Dick's carries in a segment.

Input: Broad keywords (e.g. "trail running shoes") with sort by newest Output: Product names, brands, categories, colors, variants, and specs Use: Understand assortment breadth, color depth, and newly-added products.

4. Brand & Sport Market Research

Analysts studying brand share and sport-level demand.

Input: Brand-filtered or activity-filtered searches Output: Ratings, review counts, price positioning, and availability by brand/sport Use: Quantify demand signals and brand presence across a sport category.

5. In-Stock & Availability Tracking

Operations and dropship teams monitoring stock on key products.

Input: Product URLs in Detail mode for per-size availability Output: In-stock flag, coming-soon detection, and best-effort per-size stock Use: Keep listings accurate and flag restocks or sell-outs automatically.

6. Product-Spec Extraction for Feeds

E-commerce and comparison sites building rich product feeds.

Input: Keywords or product URLs Output: Labeled spec tables, marketing highlights, images, and variant data Use: Populate product feeds, comparison pages, or catalogs with structured attributes.

7. Deal & Affiliate Content

Affiliate publishers and deal sites surfacing the best sporting-goods offers.

Input: onSale: true with sort by price low→high Output: Discounted products with prices, ratings, and image galleries Use: Auto-generate "best deals" roundups backed by live data.

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🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/dicks-sporting-goods-product-scraper').call({
  keywords: ['running shoes'],
  scrapeMode: 'overview',
  maxResults: 25
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/dicks-sporting-goods-product-scraper').call(
    run_input={'keywords': ['running shoes'], 'scrapeMode': 'overview', 'maxResults': 25}
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~dicks-sporting-goods-product-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"keywords": ["running shoes"], "scrapeMode": "overview"}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule (e.g. daily) or webhook
2. HTTP Request: Call the actor API with your keywords/URLs
3. Process: Handle the JSON dataset (compare prices, detect stock changes)
4. Action: Save to a sheet/DB, send a Slack/email alert, or update your feed

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📊 Performance & Pricing

FREE Tier (Try It Now)

• Up to 25 products per run — full feature access, same 40+ fields, same quality
• No credit card required
• Perfect for testing, small watchlists, and one-off research

PAID Tier (Production Ready)

• Unlimited products per run
• Ideal for full-catalog sweeps and scheduled monitoring
• Pay-per-result — you're only charged for products you actually receive

💰 Best price on the market — transparent pay-per-result billing with no monthly minimums and no charges for empty runs.

🔗 View current pricing

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❓ Frequently Asked Questions

Q: How many products can I scrape? A: FREE tier: up to 25 products per run. PAID tier: unlimited.

Q: Can I search by keyword, or do I need URLs? A: Both. Enter plain search keywords, paste Dick's search URLs, or paste product (PDP) URLs — mix and match as needed.

Q: What's the difference between Overview and Detail mode? A: Overview is fast bulk search returning full product cards. Detail targets individual products and adds best-effort per-size stock. Both return the same rich field set.

Q: Can I filter by brand, sport, price, or on-sale? A: Yes — filter by brand, gender, activity/sport, color, min/max price, and on-sale-only, and sort by best match, price, top rated, or newest.

Q: What output formats are available? A: JSON, CSV, and Excel — export directly from the Apify dataset.

Q: How current is the data? A: Prices, discounts, ratings, and stock are pulled live at run time, so results reflect what's on Dick's when the run executes.

Q: Is per-size stock guaranteed? A: Per-size stock is best-effort in Detail mode and may be empty for some products. Product-level in-stock status is always included.

Q: Is this legal? A: The actor extracts only publicly available product data. See the legal note below.

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🐛 Troubleshooting

No results returned

• Check your keyword spelling and try a broader term
• Loosen filters (brand, price range, on-sale-only) that may be too narrow
• Confirm any pasted URLs are valid Dick's search or product URLs

Fewer results than expected

• FREE tier is capped at 25 products per run — upgrade for unlimited
• Lower minPrice / raise maxPrice, or clear the onSale filter

A product's per-size stock is empty

• Per-size availability is best-effort in Detail mode; the product-level in_stock flag is always present

Prices look different from the site

• Prices reflect the moment the run executed; re-run to refresh live values

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🔎 Related SIÁN Actors

Building a broader retail or sporting-goods dataset? Pair this scraper with:

• 👟 Nike Product Scraper — Nike footwear & apparel product data
• 🏕️ REI Product Scraper — outdoor & sporting-goods catalog data
• 🛒 Best Buy Product Scraper — electronics & retail product data
• 🏷️ Google Shopping Price Scraper — cross-retailer price comparison

➡️ Browse all SIÁN actors

⭐ Happy with the data? Leave a 5-star review — it helps other buyers find us and helps us keep improving.

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⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what a business has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Trademark Disclaimer

SIÁN Agency is an independent provider and is not affiliated with, endorsed by, or sponsored by Dick's Sporting Goods, Inc. "Dick's Sporting Goods" and all related names, logos, and brand names are trademarks of their respective owners and are used here for descriptive and identification purposes only. This actor accesses publicly available product information and does not use any proprietary or private data.

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🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check the SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

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