Hello! I am currently trying to retrieve news using the Python API.

Hello! I am currently trying to retrieve news using the Python API. However, I cannot filter only english articles: the code I am using rn is the following: headlines_response = news.headlines.Definition( query = "fixed income AND euro zone AND LEN:EN", date_from = "2026-04-13T14:00:00", date_to = "2026-04-14T08:15:00", count = 100 ).get_data()

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ujjawal_khandelwal

Hi @Rakesh_1,
Thank you for reaching out!

The filter is not correctly used. You either just use just LEN or Language:LEN instead of LEN:EN because LEN is the keyword for English. This should work.

Please let me know if this helps. Thank you : )

Rakesh_1

Hi @ujjawal_khandelwal

Thank you for your prompt reply.

Using the option LEN works perfectly fine: I now only retrieve only articles in English.

I would have two additional questions for you:

Is there a way to filter for “government bond yield”? as the filter I am currently using, fixed income, is returning some news article which are not really in line with fixed income.
Is there a way to filter to keep only the last version of a news articles? As sometimes the same news is repeated multiple times when I retrieve it.

Thank you again for your help.

Rakesh_1

Hi @ujjawal_khandelwal , can you please help me with this?

ujjawal_khandelwal

Hi @Rakesh_1,
Yes, of course!

Please allow me some time to check. Will get back to you soon!
Thanks for your patience!

ujjawal_khandelwal

Hi @Rakesh_1,
Thank you for your patience.
I’m glad to hear that using the LEN option worked well for filtering English language articles.

Please find answers to your two additional questions below.

Filtering specifically for government bond yield news
Yes, this can be done more precisely by using Topic Codes instead of broader asset-class filters such as Fixed Income. If you have LSEG Workspace access, I recommend using the TOPICS app:

Open LSEG Workspace
Use the search bar and look for “TOPICS” under Apps

This app is the reference guide for topic codes, language codes, and various other news related details.
For example, if you are interested in Debt / Fixed Income Markets, you can use the topic code DBT and combine it with the language filter:

import lseg.data as ld

from lseg.data.content import news

ld.open_session()

news_results = news.headlines.Definition(    

                                    query="topic:DBT and LEN",    
                                    date_from="2026-04-13T14:00:00",    
                                    date_to="2026-04-14T08:15:00",    
                                    count=100).get_data().data.df

display(news_results.sort_values(by="storyId"))

ld.close_session()

If this topic is still too broad, you can further refine the results by combining multiple topic codes or by adding keyword constraints such as “government bond yield”.

2) Keeping only the latest version of a news article
Yes, this is possible.
Each Reuters news article has a Story ID with the following

structure:urn:newsml:reuters.com:YYYYMMDD:XXXXXX:N

I guess the number after the colon (:) at the end represents the version number. Higher numbers indicate newer versions of the same story.
Once the data is retrieved, you can sort by storyId and keep only the highest version per base Story ID. This allows you to remove duplicates and retain only the most recent version of each article.

Note:

You can also refer to CodeBook app which has examples on news.
Plus, there are various articles related to news on the developer portal.

Please let me know if this is helpful.

Thank you : )

Rakesh_1

Hi @ujjawal_khandelwal
Thank you so much for your efforts and co-operation.
Will get back to you, if there is any follow up from the client.

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