Webscrapping from URL

It seems like you're trying to scrape data from a website using Power BI's Web Content Connector feature. However, it seems like the website is using a pagination system, where only 10 rows are displayed at a time, and you need to click a button to view the next set of data.

To scrape data from a website like this, you'll need to write some code to extract the data and paginate through the pages of data. There are several methods you can use, including using the M language in Power Query, using a third-party scraping tool, or using a programming language such as R or Python to write a script to scrape the data.

Here's an example of how you could do this using the M language in Power Query:

1. Load the first page of data into Power Query: In the Power Query Editor, go to the "Home" tab and select the "From Web" option. Enter the URL for the first page of data and click "Load".

2. Remove the duplicates: In the Power Query Editor, go to the "Home" tab and select the "Remove Duplicates" option.

3. Write a function to paginate through the data: In the Power Query Editor, go to the "View" tab and select the "Advanced Editor" option. In the Advanced Editor, write a function to extract the data from each page and combine the data into a single table.

Here's an example of what the M code for the function might look like:

let Source = (PageStart as text) => let PageUrl = "https://www.reliancedigital.in/laptops/c/S101210?searchQuery=:relevance&page=" & PageStart, Data = Web.Page(Web.Contents(PageUrl)), Table = Data[Data], #"Removed Duplicates" = Table.Distinct(Table[Column1]) in #"Removed Duplicates",

data = Table.FromList(List.Generate(()=>[i=1, Table = Source(Text.From(i))], each [i]<=10, each [i=[i]+1, Table = Source(Text.From([i]))], each Table), splitter = Table.Combine),
#"Removed Top Rows" = Table.Skip(data,1)

in #"Removed Top Rows"

1. Load the data into Power BI: In the Power Query Editor, go to the "Close & Apply" option to load the data into Power BI.

Note that this is just an example, and you may need to modify the code to match the structure of the website you're scraping. Also, be aware that scraping data from websites is subject to the website's terms of use and can be against their policy.