We extract product listings, localised pricing, nutritional profiles, stock availability, and promotional flyers from Hannaford. 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 Listings objects from hannaford.com. All fields typed and schema-versioned.
"upc": "04126817215", "title": "Nature's Promise Organic Whole Milk", "brand": "Nature's Promise", "category": "Dairy", "sub_category": "Milk", "size": "1 Gallon", "price": 5.99, "guiding_stars": 2
| # | upc | title | brand | category | sub_category | size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Localised Pricing objects from hannaford.com. All fields typed and schema-versioned.
"upc": "04126817215", "store_id": "8124", "zip_code": "04101", "regular_price": 6.49, "sale_price": 5.99, "unit_price": 0.04, "unit_of_measure": "fl oz", "scraped_at": "2026-05-12T09:14:00Z"
| # | upc | store_id | zip_code | regular_price | sale_price | unit_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Nutritional Facts objects from hannaford.com. All fields typed and schema-versioned.
"upc": "04126817215", "serving_size": "1 cup (240ml)", "servings_per_container": 16, "calories": 150, "total_fat": 8, "saturated_fat": 5, "protein": 8
| # | upc | serving_size | servings_per_container | calories | total_fat | saturated_fat |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Store Locations objects from hannaford.com. All fields typed and schema-versioned.
"store_id": "8124", "name": "Portland Hannaford", "address": "295 Forest Ave", "city": "Portland", "state": "ME", "zip_code": "04101", "latitude": 43.6652, "longitude": -70.2765
| # | store_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Weekly Flyers objects from hannaford.com. All fields typed and schema-versioned.
"flyer_id": "W41_2026", "store_id": "8124", "start_date": "2026-10-11", "end_date": "2026-10-17", "upc": "04126817215", "promotion_type": "BOGO", "conditions": "Must buy 2", "discount_value": 5.99
| # | flyer_id | store_id | start_date | end_date | upc | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Hannaford scraper handles every layer of the platform: product catalogues, location-specific pricing, nutritional facts, and weekly flyers. Built with JavaScript rendering, session management, and anti-bot circumvention.
Title, brand, size, unit of measure, ingredients, allergens, and images scraped at UPC level with category hierarchies.
Capture regular price, sale price, unit price, and promotional details across multiple store IDs and zip codes.
Extract complete nutritional panels, dietary flags, and allergen warnings directly from product detail pages.
Capture Hannaford's proprietary Guiding Stars nutritional rating system for health and wellness analysis.
Parse digital weekly flyers to extract promotional mechanics, BOGO offers, and discount values.
Monitor pricing and availability for Hannaford private labels including Taste of Inspirations and Nature's Promise.
Track out-of-stock indicators and inventory depth per store location to monitor supply chain health.
Standardise product identifiers to map Hannaford catalogue data against other grocery retailers.
Extract exact category paths and virtual aisle locations for assortment analysis and planogram modelling.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide UPC lists, category URLs, store IDs, or zip codes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for hannaford.com.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Grocery platforms invest heavily in scraping detection and location-based state management. Here is how we stay resilient.
Grocery sites use advanced bot protection like PerimeterX and Datadome. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Hannaford pricing and availability depend entirely on the selected store. We automate cookie injection and store-selector APIs to maintain consistent regional sessions across distributed crawl workers.
Hannaford product pages and weekly flyers are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution, lazy-load triggering, and dynamic widget hydration.
Grocery platforms update their frontend frameworks frequently. Our selector strategy uses multiple fallback chains per field, including structured data extraction (LD+JSON), ensuring layout changes do not break pipelines.
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.
CPG brands and competing grocers monitor regional pricing, promotional windows, and unit prices to adjust their own pricing strategies.
Brands audit Hannaford for map violations, out-of-stock rates, and search placement across specific zip codes.
Health tech companies and researchers extract nutritional panels and ingredient lists to build comprehensive food databases.
Financial analysts track basket costs over time across different regions to measure consumer price inflation at the shelf level.
Market researchers analyse category depth, private label penetration, and brand share of shelf across Hannaford stores.
Agencies verify digital flyer placements, BOGO mechanics, and promotional compliance for their CPG clients.
"Hannaford operates complex, location-dependent pricing models across hundreds of stores. Capturing accurate grocery data requires precise session state management."
Most teams underestimate the investment required: reliable grocery scraping requires residential proxies, full JavaScript rendering for React-based frontends, cookie-based store selection, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our hannaford.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 hannaford.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Hannaford is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and nutritional data. We do not extract personal data, circumvent authentication walls, or violate GDPR/CCPA. Clients should review Hannaford's ToS and consult legal counsel for specific use cases.
We automate the store selection process using cookie injection and API simulation. You provide a list of target store IDs or zip codes, and our crawlers maintain separate sessions for each location to extract accurate regional pricing.
Yes. We extract full catalogue data for Hannaford brand, Taste of Inspirations, Nature's Promise, and CareOne products, including pricing, ingredients, and nutritional facts.
Full catalogue refreshes at daily cadence complete within a 6-12 hour window depending on the number of target stores. Weekly flyer data is typically extracted on the day new circulars are published.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per UPC and store ID for regular price, sale price, and availability from the date your pipeline starts.
Our smallest packages start at a defined UPC list or category subset with weekly delivery across a specific number of store locations. For full catalogue extraction across all stores, we price based on volume and delivery frequency.
Yes. We capture the proprietary Guiding Stars rating (0-3 stars) for every applicable product in the Hannaford catalogue.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off nutritional database dump or a continuous price-monitoring feed across 180 stores, we scope, build, and operate the pipeline. Tell us what you need.
