Bing News Search APIs limitation

Question

for i in range(0,10):  
    result = get_bing_news_search(keyword = 'vaccine', numberarticle = 30, offset = i*30)  
    dfArr.append(pd.json_normalize(result['value']))  
    if i == 0 :   
          
        totalmatch = int(result['totalEstimatedMatches'])  
        print(result['totalEstimatedMatches'])  
    if i > totalmatch :  
        break  
df_total = pd.concat(dfArr)  

I want to get historical news data ( related to vaccine )
So, Use count and offset params. But there's a lot of duplicated data like the picture above

1. Does 'Bing News Search API' have a limitation on providing only a few months of historical data or only a few number(maybe 200?) of article available?
2. If there is any limitation, is there any way I can get news articles from years past ( long period )?

Thank you

Answer 1

@이근영 I think the usage of count and offset are correct to fetch older results. I think there should not be a limitation on the results because the field totalEstimatedMatches indicates a large no. of results. The maximum value of count seems to be 100 for news search as per documentation so the offset can be used to paginate. I have tried this scenario and the results seem to only a month old based on date published without any duplicates.

The since parameter seems to support only trending topics to get older results directly though.