Develop Reference

Extracting tweets with tweepy

I have tried using tweepy to extract tweets for a specific keyword.But the count of extracted tweets using tweepy is less compared those tweets for the specific keyword as seen on twitter search.
Also I want to know how to effectively extract ALL the tweets for a specific keyword of interest using any twitter data extracting library (tweepy/twython).
I also face a problem of irrelevant tweets with same keyword coming up.Is there a way to fine tune search and perform accurate extraction so that I get all the tweets extracted for the specific keyword.
Im adding the code snippet as many asked for it.But I don't have a problem with the code as its running.
tweets = api.search('Mexican Food', count=500,tweet_mode = 'extended')
data = pd.DataFrame(data=[tweet.full_text for tweet in tweets], columns
['Tweets'])
data.head(10)
print(tweets[0].created_at)
My question is that how to get ALL the tweets with a particular keyword.For example when I run the above code ,for each time I am getting different count of tweets.Also I cross checked with doing manual search on twitter and it seems that there are much more tweets than extracted through tweepy for the particular keyword.
Also I want to know if there is any way to fine tune the keyword search through python so that all the relevant tweets for my keyword of interest is fetched.

The thing is when you use tweepy It has some limitation. It won't be able to fetch older tweets.
So I will suggest you to use
https://github.com/Jefferson-Henrique/GetOldTweets-python
in place of tweepy to fetch the older tweets.

Since you refuse to help me with your question, I'll do the bare minimum with my answer:
You are probably not doing pagination correctly
ps: Check out the stack overflow guidelines. There is an important point about Helping others reproduce the problem

How to predict twitter tweet reach using python?

How to predict twitter tweet reach on a specific area ? For e.g if a user tweets in china then how can i predict about its reach there is a website named keyhole.co they tells the total reach of tweets containing the hashtag that user searched for. Below is the screenshot that is the result when i searched for hashTag (#Retweet)
Basically, they are tells reach of a hashtag.
But the question is that how to predict the about tweet reach in a specific area (country or region).
Backgroud Research:
I know that i can check count of how many times the Tweet has been viewed through twitter Engagement API. I have aslo checked that there is a api called TwitterCounter that contains the Scripts for counting tweets. Uses 'search/tweets' or 'statuses/filter' Twitter resource to get old or new tweets, respectively.
There are also ways to get counts of retweets like discussed in this answer. Moreover, there are other ways to get views/reach of old tweets and track specific word or hashtag in tweets etc.
But my question is that how can i predict about a tweet reach ?
I have been searching for this for past several days but didn't able to find a way or solution to do it.
Can anyone please help me by telling the way to get what i want or tell me any solution by which i can do it.
Thanks in advance!

How to extract all tweets from multiple users' timelines using R?

I am working on a project for which I want to extract the timelines of around 500 different twitter users (I am using this for historical analysis, so I'll only need to retrieve them all once- no need to update with incoming tweets).
While I know the Twitter API only allows the last 3,200 tweets to be retrieved, when I use the basic UserTimeline method of the R twitteR package, I only seem to fetch about 20 every time I try (for users with significantly more, recent, tweets). Is this because of rate limiting, or because I am doing something wrong?
Does anyone have tips for doing this most efficiently? I realize it might take a lot of time because of rate limiting, is there a way of automating/iterating this process in R?
I am quite stuck, so thank you very much for any help/tips you may have!
(I have some experience using the Twitter API/twitteR package to extract tweets using a certain hashtag over a couple of days. I have basic Python skills, if it turns out to be easier/quicker to do in Python).

It looks like the twitteR documentation suggests using the maxID argument for pagination. So when you get the first batch of results, you could use the minimum ID in that set minus one as the maxID for the next request, until you get no more results back (meaning you've gotten to the beginning of a user's timeline).

Query a website/web service using python

I am trying to find tweets per day for a twitter handle, i found this site called " http://www.howoftendoyoutweet.com/"- it gives you the tweets per day , when you provide it with the twitter handle. I want my python script to query this website for a list of twitter handles and extract the tweets per day from the page.
I know that i have to use urllib2 and json for it, but not been able to. Is there any better way to find tweets per day?

Seems like the python-twitter library might give you better results.

Twitter API: Getting Data for Analytics

I am looking to create a simple graph showing 2 numbers of time for my personal twitter. They are:
Number of followers per day
Number of mentions per day
From my research so far, the search API does not provide a date so I am not about to do a GROUP BY. The only way I can have access to dates is through the OAuth Api but that requires interaction from the end user which I am trying to avoid.
Can someone point me in the right direction in order to achieve this? Thanks.

The best way is to use a cron to record the data daily.
However, you can query the mentions using the search api with a untill tag. Which should do the trick.

We can although use the search api to fetch mentions but there is a limit in it.
At a given point of time you can only fetch 200 mentions.
Any one knows how to get total mentions count?