I have a very small scenario and I’m struggling to do it as I want.
I want to check a web page on ASUS web store. And then I will check with the function contains() to check is the word “out of stock” is again present on the page. If the test is FALSE, I know the product is now available.
In my test, it was always FALSE as it didn’t find the word I wanted. But I checked the page and it’s always out of stock. So I’ve tried to send myself an email with the function:
To see what the Make.com crawler is seeing. The result was the following :
asus.com Please enable JS and disable any ad blocker
Do you think my analysis is OK ?
If so, someone see a workaround to my small scenario? I don’t think it’s something very complicated.
Interesting - I tried to check this random page ASUS Vivobook 13 Slate OLED (T3300), and HTTP module returned all HTML content.
Best regards, Victor.
The page I tested was this one on my side: https://estore.asus.com/fr/90nx05r2-m00050-asus-chromebook-vibe-cx34-flip-cx3401-12th-gen-intel.html.
I’m looking for the word “alerter”. If it’s still requesting alerter it’s mean “no stock”.
If not, there are some stock.
However, my condition is returning FALSE at each test.
Can you share with me your configuration?
I’m still a newbie on Make.com so maybe I made a mistake. ^^
Which in my opinion means that Asus don’t want anyone to parse this page automatically and analyse its contents
I tried to play with request headers a bit to simulate that request is originating from the browser, but didn’t succeed (and I am not a pro in web scraping).
Maybe someone else could advise how to make this work…
Ohhhh that’s sound completely logic. I didn’t think about this at the beginning. You may be right it’s probably restricted or not completely open for automatic tools such as Make.com.
Thank you, @VictorV, for stopping on my thread ^^
ScrapeNinja.net Make integration module was built exactly to solve this type of tasks.
Check this demo:
Monitoring a website for a piece of data, and alerting via push notifications: scraping Apple.com for refurbished iPhones
ScrapeNinja has two different scraping engines packed into 1 module:
- high performance engine, with real browser TLS fingerprint, which bypasses a lot of basic scraping protections, with lowest possible latency
Thank you. I will give it a try