We extract footwear variants, apparel catalogues, store-level inventory, and MAP pricing signals from Dick's Sporting Goods. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Catalogue objects from dickssportinggoods.com. All fields typed and schema-versioned.
"product_id": "21NIKMNKRFX3XXXXXRNN", "title": "Nike Men's Air Force 1 '07 Shoes", "brand": "Nike", "price": 115.0, "available_colours": "['White/White', 'Black/Black']", "available_sizes": "['8', '8.5', '9', '9.5', '10', '11', '12']", "is_exclusive": false
| # | product_id | title | brand | category_path | price | available_colours |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Localised Inventory objects from dickssportinggoods.com. All fields typed and schema-versioned.
"store_id": "1423", "zip_code": "15222", "product_id": "21NIKMNKRFX3XXXXXRNN", "size": "10", "colour": "White/White", "stock_status": "IN_STOCK", "pickup_available": true, "ship_to_store": true
| # | store_id | zip_code | product_id | size | colour | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Promos objects from dickssportinggoods.com. All fields typed and schema-versioned.
"product_id": "19ADIMLTRBST20XXXRNN", "base_price": 180.0, "sale_price": 135.0, "discount_pct": 25, "map_restricted": true, "promo_text": "25% Off Select Footwear", "clearance_flag": false, "timestamp": "2026-05-12T10:00:00Z"
| # | product_id | base_price | sale_price | discount_pct | map_restricted | promo_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from dickssportinggoods.com. All fields typed and schema-versioned.
"review_id": "REV-8392104", "product_id": "21NIKMNKRFX3XXXXXRNN", "rating": 5, "title": "Classic and comfortable", "verified_buyer": true, "recommended": true, "fit_feedback": "Runs True to Size", "date_posted": "2026-03-14"
| # | review_id | product_id | rating | title | body | helpful_votes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search & Category objects from dickssportinggoods.com. All fields typed and schema-versioned.
"keyword": "mens running shoes", "position": 3, "product_id": "22BROMMGHS15XXXXXRNN", "title": "Brooks Men's Ghost 15 Running Shoes", "brand": "Brooks", "price": 140.0, "rating": 4.7, "review_count": 4192
| # | keyword | category_path | position | product_id | title | brand |
|---|---|---|---|---|---|---|
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| 3 |
Our scraper handles the complexities of Dick's Sporting Goods: multi-dimensional variants, geo-fenced inventory APIs, MAP pricing structures, and strict bot mitigation systems.
Extract complex matrices for footwear and apparel, mapping every combination of size, width, and colour to its specific SKU and availability.
Query inventory APIs across specific zip codes to track Buy Online Pick Up In Store availability and local stock levels.
Monitor Minimum Advertised Price compliance, clearance flags, and flash sale discounts across thousands of brand SKUs.
Navigate aggressive bot mitigation using residential proxies, TLS fingerprint spoofing, and proper session cookie management.
Parse unstructured technical specs for golf clubs, fitness equipment, and outdoor gear into clean, queryable JSON fields.
Capture verified buyer reviews, star ratings, and specific fit feedback (e.g., runs small, runs wide) to inform product development.
Track brand visibility across primary category pages and high-volume search terms, identifying sponsored versus organic placements.
Receive only updated records. We hash previous runs to isolate price changes, new reviews, and out-of-stock events, reducing compute costs.
Retail DOM structures shift frequently. We maintain fallback selectors and monitor null rates to ensure uninterrupted data flow.
Brief in. Clean data out.
Provide brand names, category URLs, or specific SKUs. We map the extraction schema to your analytics requirements.
We configure Playwright crawlers, target specific zip codes for inventory, and route traffic through US residential proxies.
We run sample extractions to test variant mapping logic, verify MAP pricing accuracy, and ensure zero data leakage.
Structured data is pushed to your S3 bucket, BigQuery dataset, or via Webhook on your defined schedule.
Dick's Sporting Goods employs enterprise-grade anti-scraping measures and complex frontend architectures. Here is how we extract data reliably.
Retailers of this size use advanced edge protection. We deploy residential US proxies combined with Playwright stealth plugins to spoof browser fingerprints, handling challenges without triggering IP bans.
A single shoe style might have 80 variants (10 sizes x 2 widths x 4 colours). Our parsers traverse the JSON hydration script in the DOM to map every variant accurately without making 80 separate HTTP requests.
Inventory is not global. We inject target zip codes or store IDs into the session state to query the backend GraphQL APIs, extracting accurate BOPIS availability for specific geographic markets.
Base prices often differ from cart prices due to promos or MAP restrictions. We capture the displayed price, strike-through price, and promotional text flags to give you the complete pricing picture.
When the retailer deploys a site update, selectors break. Our observability stack catches null-rate anomalies immediately, alerting our engineers to patch the parsers before your scheduled delivery.
Brands track their SKUs across retail partners to ensure pricing does not drop below Minimum Advertised Price agreements.
Retail competitors monitor category depth, brand mix, and size availability to optimise their own seasonal buying strategies.
Supply chain analysts track out-of-stock rates across specific zip codes to model consumer demand for footwear and equipment.
Marketing teams quantify organic visibility versus paid placement for key terms like 'running shoes' or 'golf clubs'.
Footwear brands mine customer reviews for fit feedback (e.g., 'toe box too narrow') to inform next-generation design.
Competing sporting goods retailers ingest daily price changes to automatically adjust their own catalogue pricing.
"Dick's Sporting Goods controls the athletic retail market, but extracting their store-level inventory and sizing matrices requires bypassing enterprise-grade bot mitigation."
Apparel and footwear extraction is notoriously difficult due to multi-dimensional variants and localised pricing. DataFlirt handles the proxy rotation, session management, and zip-code level inventory queries so your analysts receive clean, structured catalogue data without the operational overhead.
Everything supported by our dickssportinggoods.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across specific US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About dickssportinggoods.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, inventory, and catalogue data is generally permissible under US law. DataFlirt targets only public, non-authenticated information. We do not extract personal data or circumvent authentication walls for loyalty pricing. Clients should consult legal counsel for specific use cases.
Retailers use systems like Akamai to block automated traffic. We use US-based residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and strict session management to appear as legitimate regional traffic.
Yes. We can target specific zip codes or store IDs to query the backend APIs, extracting accurate Buy Online Pick Up In Store (BOPIS) stock levels and local availability.
Footwear often has size, width, and colour combinations. We parse the frontend hydration scripts to map the entire variant matrix to individual SKUs, ensuring you receive a complete dataset rather than just the default selected variant.
Pipelines can be configured for daily or sub-daily refreshes depending on your requirements. Delta exports ensure you only process records that have changed since the previous run.
Our smallest packages start at a defined brand list or category subset with weekly delivery. For full-catalogue extraction or high-frequency inventory tracking, we price based on compute volume and proxy bandwidth.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off apparel catalogue dump or continuous MAP pricing monitors across thousands of SKUs — we scope, build, and operate the pipeline. Tell us what you need.
