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Anonymous
Not applicable

Web.contents Scheduled Refresh for Power BI Server

Hi,

 

I am trying to create an automatic schedule refresh for the data I get from many URLs, but I keep getting the below error:

Capture.PNG

I have seen many forums where Chris Web's BI Blog is posted (https://blog.crossjoin.co.uk/2016/08/23/web-contents-m-functions-and-dataset-refresh-errors-in-power...), but I can't get around in solving it.

 

The way my data works is that I scrape from one URL the data that I need and then I invoke the function on a list of hundreds of other URLs. I do have to say that some URLs produce a 404 error and I then remove them (code shown). Thank you in advance for your help!

 

Below are the codes for your review:

 

Scrape Query

let
Source = Web.Contents(URL),
#"Extracted Table From Html" = Html.Table(Source, {{"Retail Seller #", ".wm-item-number"}, {"Stock", ".prod-ShippingOffer > :nth-child(2)"}, {"Product Name Vendor", ".prod-ProductTitle"}}, [RowSelector=".prod-ProductTitle"]),
#"Changed Type" = Table.TransformColumnTypes(#"Extracted Table From Html",{{"Retail Seller #", type text}, {"Stock", type text}, {"Product Name Vendor", type text}})
in
#"Changed Type"

 

Invoke function Query

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [URL = _t, #"RTA Item" = _t, #"SHELF NAME" = _t, #"PRODUCT NAME" = _t, Walmart = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"URL", type text}}),
#"Removed Duplicates" = Table.Distinct(#"Changed Type",{"URL"}),
#"Invoked Custom Function" = Table.AddColumn(#"Removed Duplicates", "URLs Out of", each #"URLs Out of"([URL])),
#"Removed Errors" = Table.RemoveRowsWithErrors(#"Invoked Custom Function", {"URLs Out of"}),
#"Expanded URLs Out of" = Table.ExpandTableColumn(#"Removed Errors", "URLs Out of", {"Retail Seller #", "Stock", "Product Name Vendor"}, {"Retail Seller #", "Stock", "Product Name Vendor"})
in
#"Expanded URLs Out of"

 

 

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