Need help regarding VB Code for getting some value from XML

Kunal_Jain28598 · October 27, 2025, 7:00am

Hi @sudster
I can’t upload any file as due to the UiPath’s policy.

Kunal_Jain28598 · October 27, 2025, 7:17am

Hi @Yoichi
Any solution?

Yoichi · October 27, 2025, 7:39am

Hi,

We need exact input xml files and expected result. Can you try to upload them again? It seems your member rank is Regular and now you may be able to do it.

Regards,

Kunal_Jain28598 · October 27, 2025, 11:55am

Hi @Yoichi
XML.xml (4.5 KB)
Please find the sort of file I am working with.

|order_id | order_date | Order_type | warehouse_id | supplier_id | quantity|
|ORD100234 | 2025-10-27 | ONLINE | W001 | S001 | 250|
|ORD100234 | 2025-10-27| ONLINE | W002 |S002 |180 |
|ORD100234 | 2025-10-27 | ONLINE | W003 | S003 |220 |

Here is the Sort of Output I want

Kunal_Jain28598 · October 27, 2025, 4:13pm

@Yoichi @sudster
Any solution for this?

Yoichi · October 28, 2025, 12:19am

Hi,

It seem warehouse_id exists in different item element which supplier_id element exists in. This mean there is possibility to be different number of element of warehouse_id and supplier_id because there is no relation from view point of item_code.
So my question is “Is it related between warehouse_id and supplier_id and does it’s assured that number of element of warehouse_id and supplier_id is always same?”

If the above is no problem, can you try the following sample?

Sample
Sample20251028-1.zip (11.6 KB)

Regards,

sudster · October 28, 2025, 3:31am

Hi @Kunal_Jain28598 ,
As @Yoichi already pointed out, you have 2 different items; it isn’t possible to grab warehouse id from one item and supplier id from the other into the same row of a table.
I’m guessing the sample xml file that you’ve uploaded is totally different to the data you want to work with. You probably need to rethink how you want to proceed.

Kunal_Jain28598 · November 1, 2025, 7:49am

Hi @Yoichi @sudster
I am attaching the original file and O/P that needs to be extracted.
Actually, for every branch we need to extract every value and write it into data table as mentioned in the below Output.
Note:- Also, I have not extracted every value but in the final output we need to extract every value.
InputFile.xml (13.3 KB)

Output File: -
Account Number.pdf (55.5 KB)

Please help me with the solution.

Kunal_Jain28598 · November 3, 2025, 4:53am

Hi @Yoichi @sudster
Any solution for the above issue.
Can you let me know how to solve this?

swapnil.naik · November 3, 2025, 6:47am

Using Python Solution

Please check below step

import xml.etree.ElementTree as ET
import pandas as pd

Load and parse XML

tree = ET.parse(“input.xml”) # your xml filename
root = tree.getroot()

Define namespace (update if your XML uses a different prefix)

ns = {‘impa’: ‘http://abc.com/chc/abc/profile/xml/xyz’}

Extract data safely

data = {
“acct_num”: root.find(‘.//impa:acct_num’, ns).text if root.find(‘.//impa:acct_num’, ns) is not None else “”,
“trans_id”: root.find(‘.//impa:trans_id’, ns).text if root.find(‘.//impa:trans_id’, ns) is not None else “”,
“trans_eff_dt”: root.find(‘.//impa:trans_eff_dt’, ns).text if root.find(‘.//impa:trans_eff_dt’, ns) is not None else “”,
“ben_op_cd”: root.find(‘.//impa:ben_op_cd’, ns).text if root.find(‘.//impa:ben_op_cd’, ns) is not None else “”,
“brnc_cd”: root.find(‘.//impa:brnc_cd’, ns).text if root.find(‘.//impa:brnc_cd’, ns) is not None else “”,
}

Convert to DataFrame

df = pd.DataFrame([data])

Save to Excel

df.to_excel(“output.xlsx”, index=False)

print(“Data extracted and saved to output.xlsx ”)

swapnil.naik · November 3, 2025, 7:08am

Using UiPath

Read XML File as a text format (variable = str_xml)
Extract below parameter using Regex

i. imp:acct_num

System.Text.RegularExpressions.Regex.match(System.Text.RegularExpressions.Regex.match(str_xml,“(?=acct_num).*”),“\d+”)

ii. imp:trans_id

System.Text.RegularExpressions.Regex.match(System.Text.RegularExpressions.Regex.match(str_xml,“(?=impa:trans_id).*”),“\d+”)

iii. imp:trans_eff_dt

System.Text.RegularExpressions.Regex.match(System.Text.RegularExpressions.Regex.match(str_xml,“(?=imp:trans_eff_dt).*”),“(\d±\d±\d+)”)

iv. imp:ben_op_cd

System.Text.RegularExpressions.Regex.match(str_xml,“(?=imp:ben_op_cd).*(<)”).tostring.replace(“imp:ben_op_cd”,“”).replace(“<”,“”).trim

v. imp:brnc_cd

System.Text.RegularExpressions.Regex.match(str_xml,“(?=imp:brnc_cd).*(<)”).tostring.replace(“imp:brnc_cd”,“”).replace(“<”,“”).trim

Try this UiPath regex automation resolution

swapnil.naik · November 3, 2025, 7:11am

Step-by-Step Solution (UiPath)

Read the XML file

Use:

Activity: Read Text File
Output: xmlContent (String variable)
Input: path of your .xml file

Load XML into an XML Document

Use:

Activity: Assign
Code:

xDoc = New System.Xml.XmlDocument()
xDoc.LoadXml(xmlContent)

Variable: xDoc → Type: System.Xml.XmlDocument

Define Namespace Manager (if XML has prefixes like impa:)

Add another Assign activity:

nsmgr = New System.Xml.XmlNamespaceManager(xDoc.NameTable)
nsmgr.AddNamespace("impa", "http://abc.com/chc/abc/profile/xml/xyz")

Replace the namespace URL with the one from your XML (it appears to be: http://abc.com/chc/abc/profile/xml/xyz).

Variable: nsmgr → Type: System.Xml.XmlNamespaceManager

Extract values using XPath

Now use Assign activities for each value:

acct_num = xDoc.SelectSingleNode("//impa:acct_num", nsmgr).InnerText
trans_id = xDoc.SelectSingleNode("//impa:trans_id", nsmgr).InnerText
trans_eff_dt = xDoc.SelectSingleNode("//impa:trans_eff_dt", nsmgr).InnerText
ben_op_cd = xDoc.SelectSingleNode("//impa:ben_op_cd", nsmgr).InnerText
brnc_cd = xDoc.SelectSingleNode("//impa:brnc_cd", nsmgr).InnerText

Each variable should be of type String.

Create a DataTable to store extracted data

Use Build Data Table activity:
Define 5 columns:

acct_num | trans_id | trans_eff_dt | ben_op_cd | brnc_cd

Output variable → dtOutput

Add Data Row

Use Add Data Row activity:

ArrayRow:

{acct_num, trans_id, trans_eff_dt, ben_op_cd, brnc_cd}

DataTable: dtOutput

Write to Excel

Use:

Activity: Write Range (Workbook)
WorkbookPath: "output.xlsx"
DataTable: dtOutput
SheetName: "Sheet1"

Output Example in Excel

acct_num	trans_id	trans_eff_dt	ben_op_cd	brnc_cd
3342734	9021375	2022-07-01	DPPO1	ACTIVE

Kunal_Jain28598 · November 3, 2025, 8:37am

Hi @swapnil.naik
I think you are referring the wrong output solution.
I need to the output solution in the manner added here.
Account Number.pdf (55.5 KB)

swapnil.naik · November 3, 2025, 9:15am

You need below parameter data?

Please share xml file & output parameter name details

Kunal_Jain28598 · November 3, 2025, 9:20am

Yeah
Actually what is the scenario is we are having the list of branches with the same solution you have provided
In that what we need to do is we need to extract rest of the data (whether it is same and save it in the next lines).
We need to extract the data between
impl:brnch_ben_opt
</impl:brnch_ben_opt>
I can’t share the xml file actually I have some limitations

swapnil.naik · November 3, 2025, 10:08am

Use this below logic (Windows)

getting some value from XML.zip (156.4 KB)

sudster · November 3, 2025, 11:27am

Hi @Kunal_Jain28598 ,
You already have different methods to parse the xml, posted by @Yoichi and @swapnil.naik . Using one of the methods, work on your problem. I don’t have time to spare on this at the moment as this is not a 15 minute solution. I’ll take a look when I get some free time though.

Kunal_Jain28598 · November 3, 2025, 11:50am

Hi @sudster
Sure thanks!!

sudster · November 4, 2025, 2:51am

@Kunal_Jain28598 , where exactly do you find difficulty with this process?- reading in the XML data to values or assigning values to a datatable?

You may read the file using XMLDocument class.
You may build the datatable initially using a read csv activity; this way you have the necessary columns.
Get key, value pairs using a recursive function - you do this with either a coded workflow or using the invoke workflow file. e.g:

 1_ePro :
 Level 2_caseprofile_trans :
 2_transaction_id : 9123443
 2_trans_effective_dt : 2022-07-01
 2_trans_ty : REWC
 2_casepro_trckng_num :  No Value
 Level 3_acct :
 3_account_num : 33456781
 Level 4_benefit_option :
 4_bench_optional_cd : DP123
 4_ben_opt_nm : Dental PPO
 4_prodt_ty : DPPO
 4_funding : 1
 4_rthing_t : P
 Level 5_brnch_ben_opt :
 5_branch_code : ACTIVE
 5_bench_optional_cd : DP123
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2019-07-01
 r_rate_tier_code : 122E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 56.310
 r_prem_can_dt : 2022-06-30
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2022-07-01
 r_rate_tier_code : 122E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 58.590
 r_prem_can_dt :  No Value
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2019-07-01
 r_rate_tier_code : 123E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 129.040
 r_prem_can_dt : 2022-06-30
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2022-07-01
 r_rate_tier_code : 123E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 134.230
 r_prem_can_dt :  No Value
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2019-07-01
 r_rate_tier_code : 182E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 116.260
 r_prem_can_dt : 2022-06-30
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2022-07-01
 r_rate_tier_code : 182E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 120.940
 r_prem_can_dt :  No Value
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2019-07-01
 r_rate_tier_code : 183E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 191.230
 r_prem_can_dt : 2022-06-30
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2022-07-01
 r_rate_tier_code : 183E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 198.910
 r_prem_can_dt :  No Value
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level f_brnch_bnopt_fees :
 f_fees_eff_dt : 2019-07-01
 f_rate_basis_cd : 1
 f_type_of_rate_codd : Q
 f_bank_acct_blld_ind : N
 f_bllg_stmnt_cd : 1
 f_comb_rt_ind : Y
 f_fee_grp_seq_num : 0
 f_fee_pct : 0.00
 f_fees : 0.700
 f_fees_can_dt : 2022-06-30
 f_var_rt_ind : N
 Level f_brnch_bnopt_fees :
 f_fees_eff_dt : 2022-07-01
 f_rate_basis_cd : 1
 f_type_of_rate_codd : P
 f_bank_acct_blld_ind : N
 f_bllg_stmnt_cd : 1
 f_comb_rt_ind : Y
 f_fee_grp_seq_num : 0
 f_fee_pct : 0.00
 f_fees : 0.700
 f_fees_can_dt :  No Value
 f_var_rt_ind : N
 Level 5_brnch_ben_opt :
 5_branch_code : SNAKE
 5_bench_optional_cd : DP123
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2019-07-01
 r_rate_tier_code : 180E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 56.310
 r_prem_can_dt : 2022-06-30
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2022-07-01
 r_rate_tier_code : 180E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 58.590
 r_prem_can_dt :  No Value
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2019-07-01
 r_rate_tier_code : 181E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 129.040
 r_prem_can_dt : 2022-06-30
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2022-07-01
 r_rate_tier_code : 181E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 134.230
 r_prem_can_dt :  No Value
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2019-07-01
 r_rate_tier_code : 182E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 116.260
 r_prem_can_dt : 2022-06-30
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2022-07-01
 r_rate_tier_code : 182E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 120.940
 r_prem_can_dt :  No Value
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2019-07-01
 r_rate_tier_code : 183E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 191.230
 r_prem_can_dt : 2022-06-30
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level r_brnch_ben_opt_rt :
 r_age_step_cd :  No Value
 r_ancil_prodt_ty :  No Value
 r_gendr_cd :  No Value
 r_prem_eff_dt : 2022-07-01
 r_rate_tier_code : 183E
 r_stpals :  No Value
 r_bank_acct_blld_ind : N
 r_bank_acct_rt : 0.000
 r_bllg_stmnt_cd : 1
 r_comb_med_rt_ind : N
 r_prem : 198.910
 r_prem_can_dt :  No Value
 r_residual_rt : 0.000
 r_resv_rt : 0.000
 r_rt_tier_opt_cd : 18
 Level f_brnch_bnopt_fees :
 f_fees_eff_dt : 2019-07-01
 f_rate_basis_cd : 1
 f_type_of_rate_codd : Q
 f_bank_acct_blld_ind : N
 f_bllg_stmnt_cd : 1
 f_comb_rt_ind : Y
 f_fee_grp_seq_num : 0
 f_fee_pct : 0.00
 f_fees : 0.700
 f_fees_can_dt : 2022-06-30
 f_var_rt_ind : N
 Level f_brnch_bnopt_fees :
 f_fees_eff_dt : 2022-07-01
 f_rate_basis_cd : 1
 f_type_of_rate_codd : Q
 f_bank_acct_blld_ind : N
 f_bllg_stmnt_cd : 1
 f_comb_rt_ind : Y
 f_fee_grp_seq_num : 0
 f_fee_pct : 0.00
 f_fees : 0.700
 f_fees_can_dt :  No Value
 f_var_rt_ind : N
 Level 4_branch :
 4_branch_code : ACTIVE
 4_brnch_nm : All Active Employees
 Level 4_branch :
 4_branch_code : SNAKE
 4_brnch_nm : All SNAKE Participants
 Level 4_branch :
 4_branch_code : 0000
 4_brnch_nm : All Employees

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Need help regarding VB Code for getting some value from XML

Load and parse XML

Define namespace (update if your XML uses a different prefix)

Extract data safely

Convert to DataFrame

Save to Excel

Step-by-Step Solution (UiPath)

Read the XML file

Load XML into an XML Document

Define Namespace Manager (if XML has prefixes like impa:)

Extract values using XPath

Create a DataTable to store extracted data

Add Data Row

Write to Excel

Output Example in Excel

Related topics