Grainger Data: 3 MRO Catalogs with UNSPSC, 250K Products from Cromwell
Full MRO catalogs from Grainger, Fastenal and Cromwell for a product content company: UNSPSC, EAN, every attribute and a taxonomy sheet.
Publix Scraper for Store Prices, Weekly Deals and Aisles
A Publix product page shows almost nothing until a store is chosen. Our Publix scraper sets each store first, then reads its prices, BOGO deals and aisles.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
publix.comwhat you get
Typical fields for online stores
titlepricecurrencyin_stockskuratingreviews
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
How we scrape Publix store by store
- You send
Publix pages, filters, fields and a schedule
- We run the scrapers
Built, monitored and repaired by our team
- You receive the data
API, JSON feed or CSV, XLSX and JSON files
You tell us which Publix stores matter - by store number, town or state - and which departments, brands or search terms to follow. We build the crawler, run it and repair it whenever publix.com changes. Pacing, proxy rotation, CAPTCHA handling and page rendering are included in the service.
Each run selects the store before it reads a single product, and every row carries that store number. A sensible schedule pairs a weekly pass when the new weekly ad goes live with a daily pass for pickup prices; a one-off extract works too. A free project assessment comes first, then a sample from your stores. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Publix data we collect for each store
Publix builds its product pages around the shopper's store, so the store is part of the key rather than an afterthought. A product address under /pd/ ends in its product ID - RIO-PCI and digits for packaged goods, other prefixes for deli platters and made-to-order subs. The field groups our Publix scraper returns:
- Identityproduct ID, product name, brand, size or count, product URL and the category path.
- Storestore number, store name and state the row was read for, so one item in a Florida store and in a Tennessee store stays two separate rows.
- Pricethe price as publix.com displays it. Publix shows prices for items currently on sale and for items sold through In-Store Pickup, so we record the sale price, the savings text and a flag saying whether a price was displayed at all.
- Dealsweekly ad membership, the BOGO marker, Extra Savings items and any digital coupon offered on the item.
- Aislethe aisle marker or area location Publix gives most items once they are on a shopping list for the selected store; a basic list needs no account, and items without a marker stay blank.
- Product detailsdescription, nutrition facts, ingredients, warnings and allergens.
- Deli and subsmade-to-order items with their options: whole or half sub, bread, cheese, toppings and condiments.
Field documentation arrives with the first delivery and explains every column, including the flag that separates an item Publix priced for that store from one it listed without a price.
Publix price history by store and ad week
A Publix price only means something next to the store and the week it came from. Publix itself warns shoppers that an item on sale at one location may not be on sale at another, and the weekly ad with its BOGO list turns over every week. One extract answers one question for one store; repeated runs answer the rest.
- Dated seriesevery scheduled run is stamped with its date, so each product gets a price series per store with sale and BOGO weeks marked.
- Weekly ad archiveeach cycle's ad and BOGO items kept as a snapshot, showing which brands come back to BOGO and how often.
- Store coverageany set of stores in the states Publix trades in, read one by one or sampled by state, with GreenWise Market stores kept apart from the main format.
- Delivery pricesdelivery and curbside orders run through a separate storefront at delivery.publix.com, where Publix states that item prices are higher than in its stores. That source goes into its own column and is never mixed with shelf prices.
About Publix and its store-based catalog
- Source
- publix.com
- Category
- online stores
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
Publix Super Markets describes itself as the largest employee-owned grocery chain in the United States. Its stores are in the South-East - Florida, Georgia, Alabama, South Carolina, North Carolina, Tennessee, Virginia and Kentucky - and next to the main supermarkets it runs the GreenWise Market format, Publix Liquors and Publix Pharmacy.
The website is organised around one choice: your store. Publix calls its catalog a listing of the products it carries by store, and a product page opened without a store says only that no store is selected. Once a store is set, a shopper can browse departments, search, open that store's weekly ad and BOGO deals and build a shopping list that sorts itself by aisle for that store.
Savings live in a hub of four parts: Weekly Ad, Digital Coupons, Extra Savings and All Deals. Extra Savings are offers that sit outside the weekly ad. Digital coupons are clipped to a Club Publix account and applied at the register with the member's phone number. Orders for In-Store Pickup, deli subs among them, are placed on publix.com itself.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
Publix scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhat Publix prices and deals data is used for
Publix data is local by design, which is exactly what makes it useful to anyone selling into the South-East.
- Trade promotion checksBOGO and weekly ad history per brand shows how often a product is on deal, in which weeks and in which stores.
- Price comparison between storesthe same item read across stores and states shows whether a price is flat across the chain or differs from one market to the next.
- Private label against national brandsPublix and Publix Premium products sit beside national brands in the same category, so the gap between them can be measured week by week.
- Shelf auditsaisle markers per store show where a product is placed and whether it moved.
- Delivery premiumpublix.com prices set against delivery storefront prices for the same item show what a shopper pays for having it brought home.
- Nutrition and allergen databasesnutrition facts, ingredients and allergen warnings feed diet, recipe and shopping apps.
Related case studies
bol.com Seller Data: 72,961 Sellers with KvK, VAT and Address
Every seller shop on bol.com with its trade name, business address, KvK and VAT number, collected once: 72,961 shops in 18 days.
Amazon Seller Data: 51K B2B Leads with Business Name and Address
A one-time B2B lead file from Amazon seller profiles: 51,216 sellers with business name and address, 13,366 of them in the US and Canada.
From our blog
Learn how to use web scraping to solve data problems for your organization
6 E-Commerce Sites Like eBay to Scrape in 2026
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
Top 8 E-commerce Websites to Scrape in 2026 (From Amazon to 1688)
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
How to Scrape Amazon Data: Benefits, Challenges & Best Practices
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
About ScrapeIt
ScrapeIt is a managed web scraping service: we build, run and maintain the crawlers and deliver the dataset, so your team works with rows instead of browsers. Store-based grocery catalogs suit that model well, and Publix is a clear case - one product can carry a different price, deal and aisle in every store. Files come as CSV, Excel, JSON or JSONLines, or through our API, a JSON feed or a load into your database; an MCP server is available on request. Any personal data that turns up is handled under GDPR.
FAQ
Still unsure? Write to info@scrapeit.io
Do you offer a Publix API for store prices and deals?
Yes. The ScrapeIt Publix API returns product ID, store number, displayed price, BOGO flag, aisle and nutrition facts as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Is it legal to scrape Publix?
Yes. Product pages, the weekly ad, BOGO lists and the aisle markers of a shopping list are shown to any visitor who picks a store on publix.com. We collect only publicly available data - everything a visitor can see on Publix - and we collect it legally.
Can you track Publix prices by store?
Yes, and that is the normal setup. Every row carries the store number, and the same product is read separately in each store you name, because Publix sale items can differ from one location to another. Repeated runs turn those rows into a dated series per product and store.
Does Publix show prices online for every product?
No. Publix displays prices for items currently on sale and for items available through In-Store Pickup. For the rest we still deliver the product, store, aisle and details with a no-price flag, and the price column fills in on the run after the item goes on sale.
How often should the Publix weekly ad and BOGO list be collected?
Once per ad cycle for each store, timed just after the new weekly ad goes live, since the BOGO list changes with it. For pickup prices or Extra Savings, a daily run can be added for the same stores.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 3
Collect and deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
- 4
Maintain and support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files