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Eikon API Python, why I'm limited to 10 headline news in one request?

When I'm sending a request to extract headlines on Eikon API, I'm limited to 10 lines per request?? Before August, I have no such issue... Thanks for your help.

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10 is the default requested headline number.

You can modify it with the parameter count :

get_news_headlines(query='Topic:TOPALL and Language:LEN', count=20)
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Many thanks for your answer Pierre. It works! But do you know if I have to always put that limit "count". My resquest is on a specific RIC or basket of RIC on a range of time so I don't know the length of my final dataframe. Of course I can enter the parameter "count" equal to 1 000 or higher for example. But it's not the best way of coding....

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You're limited to a maximum of 100 news headlines (any request for more than 100 headlines will fail in error).

If you set date_from and date_to to retrieve a limited range of news (less than 100) with count=100, your result will contain all available items.

In following example, the result contains 3 headlines despite the count limit set to 100:

>>> ek.get_news_headlines(query='RENA.PA', date_from='2017-09-16', date_to='2017-09-18', count=100)
                             versionCreated  \
2017-09-17 20:43:24 2017-09-17 20:43:24.000
2017-09-16 06:32:26 2017-09-16 06:32:26.000
2017-09-16 06:06:43 2017-09-16 06:06:47.004
                                                                  text  \
2017-09-17 20:43:24  Motor racing-Aston Martin wants to be more inv...
2017-09-16 06:32:26  DJ Car Chief Bets Big on Growth -- WSJ<7201.T>...
2017-09-16 06:06:43  McLaren finally cut ties with Honda<7267.T><RE...
                                                          storyId sourceCode
2017-09-17 20:43:24  urn:newsml:reuters.com:20170917:nL4N1LY0D1:2    NS:RTRS
2017-09-16 06:32:26  urn:newsml:reuters.com:20170916:nDJUP00035:1     NS:DJN
2017-09-16 06:06:43  urn:newsml:reuters.com:20170916:nNRA4hpjek:1  NS:TELGPH
>>>
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@pierre.faurel if my headlines request has more than 100 results, is there a way to access all of them?

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Only by splitting the request into multiple requests and narrowing the time range of each request to ensure there's less than 100 headlines returned for each time window.

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