We extract product inventory, localised pricing, digital coupons, nutritional data, and weekly ads from Smith's Food and Drug. 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 Products & Pricing objects from smithsfoodanddrug.com. All fields typed and schema-versioned.
"upc": "0001111042852", "name": "Kroger Large Grade A Eggs", "brand": "Kroger", "price_regular": 2.49, "price_promo": 1.99, "price_per_unit": "0.17/ea", "size": "12 ct", "stock_status": "In Stock", "store_id": "70600045"
| # | upc | name | brand | price_regular | price_promo | price_per_unit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Data objects from smithsfoodanddrug.com. All fields typed and schema-versioned.
"upc": "0001111042852", "calories": 70, "fat_g": 5, "protein_g": 6, "ingredients": "Eggs", "allergens": "['Egg']", "dietary_flags": "['Gluten Free', 'Keto']", "serving_size": "1 egg (50g)"
| # | upc | calories | fat_g | sodium_mg | carbs_g | protein_g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Digital Coupons objects from smithsfoodanddrug.com. All fields typed and schema-versioned.
"coupon_id": "80000001245", "title": "Save $1.00 on Kroger Cheese", "discount_amount": 1.0, "exp_date": "2024-11-15", "qualifying_products": "['0001111042852', '0001111042853']", "terms": "Limit 1 per transaction.", "brand": "Kroger"
| # | coupon_id | title | description | discount_amount | exp_date | qualifying_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Weekly Ads objects from smithsfoodanddrug.com. All fields typed and schema-versioned.
"ad_id": "WKY_2024_45", "valid_from": "2024-11-06", "valid_to": "2024-11-12", "store_id": "70600045", "front_page_promos": "['BOGO Free Honeycrisp Apples', '4x Fuel Points']", "category": "Produce", "image_url": "https://smithsfoodanddrug.com/ads/wk45.jpg"
| # | ad_id | valid_from | valid_to | store_id | items_included | front_page_promos |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Locations objects from smithsfoodanddrug.com. All fields typed and schema-versioned.
"store_id": "70600045", "address": "455 E 500 S", "city": "Salt Lake City", "state": "UT", "zip": "84111", "pickup_available": true, "features": "['Pharmacy', 'Starbucks', 'Fuel Center']", "latitude": 40.7584
| # | store_id | address | city | state | zip | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the complex session state required for Kroger properties. We bypass WAFs, simulate store-specific ZIP codes, and extract pricing, inventory, and nutritional data directly from the frontend APIs.
Grocery pricing is highly localised. We simulate ZIP codes and maintain store-specific session cookies to extract the exact shelf price for any given location.
Extract available digital coupons, discount values, expiration dates, and the specific UPCs they apply to across the entire catalogue.
Capture macros, ingredient lists, allergen warnings, and dietary tags like Keto or Gluten-Free directly from product detail pages.
Monitor stock levels, out-of-stock flags, and ClickList pickup availability for specific store locations in real time.
Digitise weekly circulars. We extract promotional items, BOGO deals, and valid date ranges tied to specific store IDs.
Extract standard UPCs and internal product IDs to map Smith's Food and Drug inventory against your existing CPG databases.
Scrape store addresses, operating hours, pharmacy services, and fuel centre availability across the entire network.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Track loyalty program multipliers, seasonal promotions, and fuel point bonuses attached to specific product categories.
Brief in. Clean data out.
Provide UPC lists, category URLs, or target ZIP codes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for smithsfoodanddrug.com.
Schema validation, null-rate checks, price-outlier detection, and sample items before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Kroger properties use advanced bot protection and complex session states. Here is how we stay resilient.
Smith's Food and Drug relies on strict WAF rules to block automated traffic. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass Akamai and PerimeterX protections.
You cannot scrape generic prices. We maintain hundreds of concurrent sessions, injecting specific ZIP codes and store IDs into the cookies to ensure the pricing and inventory data reflects the actual local shelf.
Instead of parsing complex frontend DOM structures, our Playwright scripts intercept the underlying GraphQL and REST API calls used by the Smith's frontend, extracting clean, structured JSON data directly.
For large grocery catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, and coverage drops, responding before you notice.
Retailers and delivery aggregators track localised pricing to adjust their own markups and remain competitive in specific zip codes.
Brands monitor shelf availability, promotional frequency, and digital coupon presence to audit trade spend effectiveness.
Health applications ingest macro data, ingredient lists, and dietary flags to power diet tracking and meal planning.
Affiliates and deal aggregators digitise weekly ads and digital coupons to surface savings to their user base.
Analysts track out-of-stock indicators across regional store clusters to predict supply chain bottlenecks.
Competing grocery chains monitor Smith's pricing elasticity and promotional calendars to optimise their own weekly circulars.
"Grocery pricing is hyper-local. Without store-specific session management, you are blind to the actual shelf price at Smith's Food and Drug."
Extracting accurate grocery data requires managing hundreds of concurrent sessions mapped to specific store IDs and ZIP codes. DataFlirt handles the complex state management, residential proxies, and API hydration needed to pull accurate, localised inventory and pricing at scale.
Everything supported by our smithsfoodanddrug.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 smithsfoodanddrug.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, nutritional data, and store information is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal user data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use US residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to navigate WAF challenges and CAPTCHAs.
Yes. We manage session cookies and simulate specific ZIP codes or store IDs during the crawl to ensure the extracted price reflects the exact local store.
We can configure pipelines to run at hourly cadences for specific high-priority UPCs to monitor stock status and ClickList availability in near real-time.
Yes. We extract all active digital coupons, their terms, and qualifying UPCs. We also digitise weekly ad flyers, mapping promotional items to specific store locations.
Our smallest packages start at a defined UPC list or specific category set with weekly delivery. For full-catalogue extraction across multiple store locations, we price based on volume and frequency.
Absolutely. We provide a sample run of up to 500 UPCs mapped to a specific store ID as part of the pre-engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off nutritional catalogue dump or a continuous price-monitoring feed across 100 store locations — we scope, build, and operate the pipeline. Tell us what you need.
