A price monitoring tool re-reads your competitors' product pages on a schedule, records price, promotion and stock as a time series, and alerts you when a value moves. WebRobot does it with an AI agent: it browses each listing like a shopper, checks hourly, posts changes to Slack, and feeds the price history to your dashboard through the API.
No selectors to maintain. When a competitor redesigns their PDP, the robot re-finds the price instead of silently reporting the same number forever.
Last updated July 2026
Robot console · WR-01
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?
| Field | Why it moves the decision | Alert on |
|---|---|---|
| Current price | The headline number. Useless on its own if the competitor is out of stock. | Any change, or a threshold delta versus your price |
| List price and discount | A "40% off" badge on an inflated list price is a different competitor than a genuine price cut. | New promotion appears or ends |
| Stock status | An out-of-stock rival is a margin window. This is the most under-used signal in retail pricing. | Goes out of stock, comes back in stock |
| Shipping and fees | Free shipping over a threshold changes the landed price a shopper actually compares. | Shipping rule changes |
| Seller and buy box | On marketplaces, the winning seller changes hourly and so does the price you are compared against. | Buy-box owner changes |
| Cart or member price | Some prices only reveal themselves after login or "add to cart". Agent actions read them. | Revealed price differs from sticker |
Every field above is stored per check, so you get a history, not a snapshot. That history is what turns automated price monitoring into price intelligence: you can see who leads, who follows, and how long the follower takes.
STEP 01
Give it competitor category pages or a list of product URLs. Describe the fields in plain English: "product title, price, list price, promo badge, stock status, seller." No CSS selectors, no browser extension, no per-site template to configure.
STEP 02
Attach your own SKU or MPN to each tracked URL so every row arrives pre-joined. If the price only appears after a login or in the cart, agent actions handle the sign-in and the add-to-cart step.
STEP 03
Hourly for anything competitive, daily for stable B2B catalogs, real-time monitors for auctions and restocks. Hourly scheduling and change alerts are included on Scale ($249/mo); real-time monitors are on Autopilot ($699/mo).
STEP 04
Alerts fire on the diff, not on every run. Send them to Slack, push the full history to your BI dashboard by API or webhook, and let Zapier file the rest. Nobody reads a daily "no change" email twice.
SLACK ALERT · CHANGE DETECTED
#pricing-alerts · WebRobot · 14:07 ET
PRICE DROP competitor-a.com
SKU 88-4412 "ProBook 14 G11"
was $949.00 now $899.00 (-5.3%)
your price $929.00 (now +3.3%)
their stock IN STOCK
promo "SUMMER 5% OFF" (new)
RESTOCK competitor-b.com
SKU 88-4412 OUT OF STOCK -> IN STOCK
2 changes across 412 tracked SKUs · next check 15:00API FEED · GET /v1/runs/{id}/data
{
"checked_at": "2026-07-14T14:07:11Z",
"rows": [
{ "our_sku": "88-4412",
"competitor": "competitor-a.com",
"price": 899.00,
"list_price": 949.00,
"promo": "SUMMER 5% OFF",
"in_stock": true,
"seller": "Competitor A Direct",
"shipping": 0.00,
"changed": ["price", "promo"] }
]
}The same payload lands in your warehouse, your BI tool, or a Google Sheet. Details on the web scraping API page.
FAILURE MODE 1
Selector-based trackers store a CSS path to the price. The competitor ships a new PDP, the path matches nothing, and the tool reports the last known value or a blank. WebRobot stores the intent ("the current selling price on this product page") and re-locates it after the change.
FAILURE MODE 2
Wholesale portals hide rates behind a login. Marketplaces show a member price only in the cart. Anything that reads static HTML records the sticker price and misses the real one. An agent that can log in and add to cart records what a buyer would actually pay.
FAILURE MODE 3
A tool that pings on every run trains the channel to ignore it. Alerts should fire on a real diff, and ideally on a threshold you set ("tell me when a rival goes more than 3% under us"). Otherwise the one alert that mattered scrolls past unread.
| Capability | Launch · $79/mo ($63 yearly) | Scale · $249/mo ($199 yearly) | Autopilot · $699/mo ($559 yearly) |
|---|---|---|---|
| Check frequency | Daily | Hourly | Real-time monitors |
| Change alerts | Not included | Included | Included |
| Robots | 5 | 25 | 100 |
| Records per month | 10,000 | 100,000 | 1,000,000 |
| Logins, carts, multi-step flows | Not included | Agent actions included | Autonomous agent flows |
| Slack, Zapier, webhooks | CSV, Google Sheets, API | All, plus full API | All, plus full API |
| Seats | 1 | 5 | 15 |
| Support | Standard | Priority | Dedicated success manager |
Flat monthly pricing, not credits. Usage-metered tools get expensive in exactly the situation you want (more SKUs, checked more often), which quietly pushes teams to monitor less than they should. If you are comparing vendors, we keep honest side-by-sides of Octoparse, Browse AI and Apify, including where each one genuinely wins.
Track every rival PDP for your top 500 SKUs hourly. The trigger that matters is not their price alone, it is their price plus their stock: when a competitor sells out, holding your price is free margin.
Track Amazon competitor prices, buy-box ownership and seller rotation on the listings you compete in. Marketplace pages are heavily rendered, which is why a browsing agent returns data where a plain HTML fetch returns an empty string.
Watch your resellers' advertised prices and get an alert the hour one drops below the minimum, with the timestamped page state to back up the conversation. Manual spot checks find this weeks late.
Rates change hourly and inventory changes faster. Real-time monitors on Autopilot fit the cadence: the alert is the product, and it is worth nothing an hour later.
Prices sit behind portal logins and account-specific rate cards. Agent actions sign in and read the price your buyer would see, not the public list price that nobody pays.
Feed the full history into Looker, Tableau or a warehouse via API and model elasticity, price leadership and promo cycles. Or export it to a sheet: scrape website data to Excel works the same way.
Related reading: how to monitor competitor prices for the full playbook, website change monitoring if you need to watch non-price fields, and the web scraping tool pillar for the category overview. Compliance posture is documented on security.
FINAL ASSEMBLY
Hourly checks on every competitor SKU, a Slack alert the moment one moves, and the full history in your dashboard by API.