Brands enforcing MAP
Check every listing of your products daily and log price, seller and date. The violation report writes itself, with the evidence a dealer agreement needs: which seller, what price, which day.
A Walmart scraper turns Walmart.com product pages into a price sheet you can act on: item ID, price, was price, Rollback flag, who holds the Buy Box, how it ships, stock and reviews. WebRobot does it with an AI agent that loads each page like a shopper. Paste your item URLs or a search, name the columns, and a fresh sheet lands every morning.
Built for brands enforcing MAP on Walmart, marketplace sellers watching rival offers, and category teams benchmarking shelf prices. Flat plans from $79 a month, no per-request meter.
Robot console
Standing by Running · s Complete · rows
1 · Pick a target
3 · Fields to extract
Agent log
Crawl graph
Extracted data · rows
Want this data fresh every morning, without lifting a finger?
01 · What you get
Walmart moves prices often and without notice. Rollbacks start and end, a third-party seller undercuts the Buy Box overnight, and an item flips to out of stock at the store your buyers shop. You find out from a sales report two weeks later, or you find out the next morning.
Fields
| Field | Where it shows | What buyers do with it |
|---|---|---|
| Item ID, title, URL | Search and product page | Join key for the sheet; the number at the end of every /ip/ link stays stable when the title changes |
| Current price and was price | Product page | The gap between them is the real discount; log both to see when a markdown started and ended |
| Rollback, Clearance, Reduced price | Badge on the price | Separate a temporary promotion from a permanent price change before you react to it |
| Seller on the offer | "Sold and shipped by" line | Is it Walmart, your authorized partner, or an account you have never heard of |
| Fulfillment and delivery date | Product page | Pickup today, delivery, or shipping in five days changes which offer a shopper picks |
| Stock status | Product page, per store | Out of stock at a competitor is a window to hold your price, not cut it |
| Star rating and review count | Search and product page | Review velocity on a rival item is an early read on how fast it sells |
| Brand, model, UPC, specs | Specifications block | Match your SKU to the right listing when several sellers list the same product |
Selling the same products elsewhere? The Amazon scraper page covers price, Buy Box and rank on Amazon, the eBay scraper page covers sold comps, and ecommerce data scraping puts every store in one sheet.
Sources
| Source | Competitor prices? | Who can use it | Catch |
|---|---|---|---|
| Marketplace Pricing Insights API | Yes, Buy Box and competitive price | Walmart Marketplace sellers | Only for items in your own catalog; nothing on products you do not sell |
| Buy Box notifications | Buy Box changes | Marketplace sellers | Tells you that you lost the Buy Box, not the full offer list for the item |
| Walmart Repricer | Uses them to set yours | Marketplace sellers, no fee | Adjusts your price; does not hand you a sheet you can report from |
| Affiliate Content Provider API | Yes, list price | Approved publishers only | Selective approval, built for sending traffic to Walmart, not for pricing teams |
| Public product pages | Yes, what shoppers see | Anyone, logged out | Manual one page at a time, unless a robot reads them for you on a schedule |
A seller with an API connection should keep using Pricing Insights for its own items. WebRobot covers the rest: products you do not sell, brands that are not on Marketplace at all, and anyone who needs the same view a shopper gets, including the badge and the delivery promise.
Know the rules before you start. Walmart's Terms of Use prohibit robots, spiders and scrapers and the systematic collection of listings and prices without Walmart's written consent, and Walmart challenges traffic that looks automated. Read only public pages, keep volume sensible, never automate a logged-in Walmart account, and use the seller APIs where they cover your columns. The wider picture is in is web scraping legal.
Procedure
1
A list of product links you track, or a Walmart search for your brand name or category. Search mode picks up new listings as they appear.
2
Pickup price and stock depend on the store Walmart assigns to a ZIP code. Give the robot one ZIP per market you care about and each run reads the same store.
3
"Item ID, price, was price, badge, seller, fulfillment, in stock, rating, reviews." Plain English. You never write a selector.
4
Rows land in Google Sheets, Excel, CSV or the API. On Scale, Slack or a webhook fires when a price drops under MAP or a new seller takes the offer.
Use cases
Check every listing of your products daily and log price, seller and date. The violation report writes itself, with the evidence a dealer agreement needs: which seller, what price, which day.
Pricing Insights covers what you sell. The robot covers what you are thinking of selling: rival items, their price floor over 60 days, and how many sellers crowd each offer.
Benchmark your shelf price against the Walmart price for the same UPC in the markets where you sell, before the retailer's buyer brings it up in the line review.
Watch Clearance and Rollback on a list of products and get an alert the moment one falls below your buy price, instead of refreshing pages at night.
Pause ads on items that went out of stock, and see when a client's rating dropped after a bad batch, all from one sheet per client.
Walmart next to Amazon, Target and your own site. The competitor price monitoring page shows the cross-store sheet with hourly checks.
Buyer's table
| Option | How you pay | Where it wins | Where it falls short |
|---|---|---|---|
| Python script or GitHub repo | Free code, paid developer time | Full control if someone on staff writes Python | The human check, proxies, retries, storage and alerts are all yours to build and keep working |
| Scraper API | Per request, often 5 or more credits per Walmart page | Developers who want HTML or JSON back and will write the rest | Scheduling, parsing and the sheet sync are still your code. See ScraperAPI pricing and ScrapingBee pricing for how the meter adds up |
| Marketplace actor | Per 1,000 results plus compute | Large one-off pulls of a whole category | Costs move with volume and retries; see Apify pricing |
| Price monitoring suite | Monthly, sized by number of URLs | Retailers who want a repricing dashboard out of the box | Fixed fields; see Price2Spy pricing for what the add-ons cost |
| WebRobot | Flat: $79 or $249 a month | Your products, your columns, your ZIP codes, delivered daily or hourly with alerts and an API | Reads public pages only, so history starts the day you set it up; for your own catalog, Pricing Insights is still the source of record |
If you want an endpoint for your own code, the web scraping API page shows the same rows as JSON. If you tried a desktop point-and-click tool first, the Octoparse alternative page compares the setup work.
Sizing
| Job | Records per month | Plan |
|---|---|---|
| 300 products, one ZIP, daily | about 9,000 | Launch, $79 a month (10,000 records, daily runs) |
| 800 products, four ZIP codes, daily | about 96,000 | Scale, $249 a month (100,000 records) |
| 120 MAP-sensitive products, hourly | about 86,000 | Scale, $249 a month (hourly runs and alerts) |
| A 5,000-item catalog, daily, several markets | 150,000 and up | Autopilot, $699 a month (1,000,000 records) |
Yearly billing drops Launch to $63 and Scale to $199 a month. Every limit is on the pricing page. A daily file you open in Excel is covered on scrape website to Excel, and single-page change alerts on website change monitoring.
FAQ
Paste your products, set your ZIP codes, name the columns, and get a daily or hourly feed with alerts when a price or seller changes.