We extract Aisles Online product listings, store-level pricing, inventory status, nutritional data, and Fuel Saver promotions. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Grocery Products objects from hy-vee.com. All fields typed and schema-versioned.
"upc": "0000000004011", "sku": "1234567", "title": "Fresh Bananas", "department": "Produce", "dietitian_choice": true, "health_market": false, "weight_volume": "1 lb"
| # | upc | sku | title | brand | department | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Pricing & Inventory objects from hy-vee.com. All fields typed and schema-versioned.
"store_id": "1042", "store_name": "West Des Moines Hy-Vee", "sku": "1234567", "price": 0.59, "regular_price": 0.59, "fuel_saver_eligible": false, "in_stock": true, "aisle_number": "Produce 1"
| # | store_id | store_name | sku | price | regular_price | unit_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Data objects from hy-vee.com. All fields typed and schema-versioned.
"sku": "8901234", "serving_size": "1 cup (240ml)", "calories": 150, "total_fat_g": 8, "protein_g": 8, "ingredients": "['Milk', 'Vitamin D3']", "allergens": "['Contains Milk']"
| # | sku | serving_size | calories | total_fat_g | cholesterol_mg | sodium_mg |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Locations objects from hy-vee.com. All fields typed and schema-versioned.
"store_id": "1042", "name": "West Des Moines Hy-Vee", "address": "1990 Grand Avenue", "city": "West Des Moines", "state": "IA", "zip_code": "50265", "latitude": 41.5678, "features": "['Aisles Online', 'Pharmacy', 'Market Grille']"
| # | store_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Weekly Ads & Coupons objects from hy-vee.com. All fields typed and schema-versioned.
"promotion_id": "WKD_9921", "title": "Buy 1 Get 1 Free - Hy-Vee Pasta", "valid_from": "2026-10-01", "valid_to": "2026-10-07", "discount_type": "BOGO", "digital_only": false, "applicable_skus": "['34512', '34513']"
| # | promotion_id | title | description | valid_from | valid_to | discount_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hy-Vee scraper handles the complexity of localised grocery data: store-specific sessions, Aisles Online pagination, Fuel Saver tracking, and nutritional table parsing.
Full grocery catalogue mapping across all departments. Extract titles, descriptions, imagery, and UPC/SKU identifiers.
Grocery prices vary by location. We manage ZIP code and store ID session state to extract accurate local pricing and unit costs.
Capture promotional discounts, cents-off-per-gallon incentives, and loyalty pricing applied to specific SKUs.
Extract structured macro breakdowns, ingredient lists, and allergen warnings directly from product detail pages.
Identify specialty items with HealthMarket flags and Hy-Vee Dietitian Choice tags for health-focused category analysis.
Track out-of-stock rates and availability at the store level to monitor supply chain consistency.
Monitor active promotions, BOGO deals, and digital-only coupons with validity windows mapped to applicable products.
Exact product matching capabilities using standard retail identifiers to normalise Hy-Vee data against competitor catalogues.
Run continuous pipelines that only emit records when prices, promotions, or stock statuses change.
Brief in. Clean data out.
Provide target store IDs, ZIP codes, or specific grocery departments. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, manage store-level cookie state, and handle bot protection.
Schema validation, null-rate checks, price-outlier detection, and UPC verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Grocery extraction requires precise session handling to retrieve accurate local data. Here is how we maintain stable pipelines.
Hy-Vee's pricing and availability depend entirely on the selected store. Our pipeline injects specific store IDs and ZIP codes into the session state, isolating cookies per request to ensure data reflects the exact target location.
The Aisles Online interface relies heavily on client-side rendering. We execute full Playwright browser sessions to hydrate product grids, trigger lazy-loaded images, and expand nutritional accordions that static HTTP clients miss.
Retailers protect their pricing data. We route requests through US-based residential ISP proxies with realistic browser fingerprints and randomised timing to avoid perimeter bot detection.
Grocery catalogues are massive, but prices only change periodically. We maintain a hash index of last-seen values per SKU per store, emitting only diffs to reduce your downstream processing load.
Hy-Vee updates its site structure for seasonal events. We monitor for null-rate spikes in critical fields like price and UPC, alerting our engineers to adapt selectors before your data feed is impacted.
Regional supermarkets track Hy-Vee's store-level pricing and Fuel Saver promotions to adjust their own competitive pricing strategies.
Consumer packaged goods brands monitor share of shelf, category placement, and compliance with minimum advertised pricing (MAP).
Economic analysts track the cost of standard grocery baskets across different Midwest zip codes to measure regional inflation trends.
Health and fitness platforms ingest macro breakdowns and ingredient lists to maintain accurate food logging databases.
Distributors monitor store-level out-of-stock rates for specific SKUs to optimise delivery routes and warehouse allocation.
Marketing agencies analyse the frequency and depth of weekly ad discounts to evaluate promotional effectiveness in the grocery sector.
"Hy-Vee's Aisles Online holds critical localised pricing and inventory signals across the Midwest — but extracting it requires precise store-level session management."
Most teams fail at grocery scraping because they ignore localised session state. Reliable Hy-Vee extraction requires managing zip-code specific cookies, handling JavaScript-heavy Aisles Online interfaces, and bypassing perimeter bot protection. DataFlirt manages this infrastructure so you receive normalised, store-level pricing without writing a single selector.
Everything supported by our hy-vee.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 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 hy-vee.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and product information from Hy-Vee is generally permissible. DataFlirt targets only public, non-authenticated grocery data. We do not extract personal data, circumvent authentication walls, or access gated pharmacy records.
We manage the session state by injecting exact Store IDs and ZIP codes into the HTTP cookies and headers. This ensures the Aisles Online pricing and inventory data returned reflects that specific physical location.
Yes. We use US-based residential ISP proxies, realistic browser fingerprints, and automated solver integrations (CapSolver/2Captcha) to navigate perimeter bot protection without interrupting the pipeline.
We can configure pipelines to run at daily or intra-day frequencies depending on your SLA requirements. Change-detection diffs ensure you only process updates when stock status or price actually shifts.
Yes. We parse the structured nutritional fact panels, ingredient lists, and allergen warnings directly from the product detail pages and map them to consistent numerical fields.
Our minimum engagements typically start at tracking a specific category or a defined list of 5,000+ SKUs across multiple store locations. Contact us with your target volume for a precise quote.
Yes. We provide sample exports of up to 500 SKUs from a target Hy-Vee location during the scoping phase, allowing you to validate our schema and data accuracy before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off grocery catalogue dump or a continuous price-monitoring feed across 200 store locations — we scope, build, and operate the pipeline. Tell us what you need.
