Preferably via Tweepy in Python, I want to obtain from the Twitter API a list of top tweets for a given search query and WOEID place identifier (Yahoo's Where On Earth IDentifier).
In my example, I obtain trending queries for a WOEID id via Tweepy's API.trends_place(id) wrapper for the Twitter REST API's GET trends/place; I then want to print the top tweets for each trending query within this place (same WOEID).
Currently, I obtain tweets for the trending query, but
not within the given place;
not necessarily the "top" tweets (as opposed to, for example, "recent").
How can I add these two restrictions to my search?
MWE:
import tweepy
from tweepy import OAuthHandler
consumer_key = 'YOUR-CONSUMER-KEY'
consumer_secret = 'YOUR-CONSUMER-SECRET'
access_token = 'YOUR-ACCESS-TOKEN'
access_secret = 'YOUR-ACCESS-SECRET'
auth = OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_secret)
api = tweepy.API(auth)
locationid = 23424775 # WOEID for Canada
trendqueries = [trend['query'] for trend in api.trends_place(locationid)[0]['trends']]
for trendquery in trendqueries:
print(api.search(q=trendquery))
What I have tried:
I can search by longitude/latitude using Tweepy's API.search(q, geocode), but I do not see an obvious way to search by WOEID.
Partial answer
API.search(q[, lang][, locale][, rpp][, page][, since_id][, geocode][, show_user])
Returns tweets that match a specified query.
Parameters:
geocode – Returns tweets by users located within a given radius of the given latitude/longitude. The location is preferentially taking from the Geotagging API, but will fall back to their Twitter profile. The parameter value is specified by “latitide,longitude,radius”, where radius units must be specified as either “mi” (miles) or “km” (kilometers). Note that you cannot use the near operator via the API to geocode arbitrary locations; however you can use this geocode parameter to search near geocodes directly.
show_user – When true, prepends “:” to the beginning of the tweet. This is useful for readers that do not display Atom’s author field. The default is false.
Related
Im struggling to retrieve the tweets associated with a particular search between two dates. I looked at the answer here and used that as below, but, as the answer mentions, the code only works for tweets which are 10-14 days old and as I need tweets from 2014, it results in tweets being an empty list.
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
tweets = []
company_name = '#' + 'Apple'
date_strng = " since:2014-10-11 until:2015-10-14"
for tweet in tweepy.Cursor(api.search,q=company_name + date_strng,count=10000,lang="en").items():
tweets.append(tweet)
Also tried the following, but it didnt work (tweets is again an empty list). But if I remove the until argument, I get the tweets since the start_date:
start_date = datetime.datetime(2014,10,11)
end_date = datetime.datetime(2015,10,14)
for tweet in tweepy.Cursor(api.search,q=company_name,count=10000,lang="en", since=start_date,until=end_date).items():
tweets.append(tweet)
Was wondering if there is a solution to this.
Thanks
Reason for the empty list is due to the fact that the standard search api retrieve only last 7 days of tweets . Since you have given the start and until dates it’s filtering the tweets as per dates. Obviously list will be empty.
Refer the below link for retrieving old tweets
https://stackoverflow.com/a/61737450/10703097
Also you are trying 1 year duration of tweet which is a huge corpus of tweets try to modify as per your needs.
I'm using tweepy to access a large number of tweets. Many tweets are truncated, so I want to get the full text of some tweets, which I have the id for.
My problem is: The tweepy api instance has one method of downloading multiple tweets at once (api.statuses_lookup), but this returns truncated tweets.
It also has a method that includes the full tweet text (api.get_status), but which afaik only takes one tweet at a time.
Is there way of getting the full text for multiple tweets at once?
import tweepy
consumer_key = "XXX"
secret = "XXX"
auth = tweepy.AppAuthHandler(consumer_key, secret)
auth.secure = True
api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True)
ids = [1108360183586140161, 1108474125486641153]
# Finds tweets (up to 100 at a time), but doesn't contain extended text
foo = api.statuses_lookup(ids)
# Returns tweet, including extended text, but only for one at a time
bar = api.get_status(1108449077937635328, tweet_mode='extended')
As pointed out by Andy Piper, the issue was fixed in a recent update of the Tweepy library, so running
pip install tweepy --upgrade
solves this.
I am writing a function that filter the keyword of my timeline using python-twitter.
I do not know how to filter tweets in my timeline.
should I use GetSearch(term=keyword)?
import twitter
api = twitter.Api(my keys)
timelines = api.GetHomeTimeline()
for lines in timelines:
print(lines.text)
I'm using a Python's Twitter API implementation, TwitterAPI.
I'm trying get tweets from a specific city (São Paulo), in the Twitter Advanced Search(https://twitter.com/search-advanced) website is easy, but when I try to do it using streaming, never returns any tweet. (I know search-advanced is complete different from twitter streaming API)
Like follow the documentation I get the southwest coordinate first, and northeast after.
https://dev.twitter.com/streaming/overview/request-parameters#locations
#!/usr/bin/python
import pprint from TwitterAPI import TwitterAPI
pp = pprint.PrettyPrinter(depth=6)
api = TwitterAPI(CONSUMER_KEY,
CONSUMER_SECRET,
ACCESS_TOKEN_KEY,
ACCESS_TOKEN_SECRET)
r = api.request('statuses/filter', {'locations':'-23.984524,-46.885064,-23.393466,-46.479943'})
for item in r:
pp.pprint(item)
But I never got any tweet, what I'am doing wrong ?
You have the latitudes and longitudes reversed. Try:
r = api.request('statuses/filter', {'locations':'-46.885064,-23.984524,-46.479943,-23.393466'})
The locations parameter takes longitude/latitude pairs.
Does using locations as a list of float values help?
{'locations':[-46.885064,-23.984524,-46.479943,-23.393466]}
Here is my current code
from twitter import *
t = Twitter(auth=OAuth(TWITTER_CONSUMER_KEY, TWITTER_CONSUMER_SECRET,
ACCESS_TOKEN, ACCESS_TOKEN_SECRET))
t.statuses.home_timeline()
query=raw_input("enter the query \n")
data = t.search.tweets(q=query)
for i in range (0,1000):
print data['statuses'][i]['text']
print '\n'
Here, I fetch tweets from all the languages. Is there a way to restrict myself to fetching tweets only in English?
There are at least 4 ways... I put them in the order of simplicity.
After you collect the tweets, the json output has a key/value pair that identifies the language. So you can use something like this to take all language tweets and select only the ones that are from English accounts.
for i in range (0,1000):
if data['statuses'][i][u'lang']==u'en':
print data['statuses'][i]['text']
print '\n'
Another way to collect only tweets that are identified in English, you can use the optional 'lang' parameter to request from the API only English (self-idenfitied) tweets. See details here. If you are using the python-twitter library, you can set the 'lang' parameter in twitter.py.
Use a language recognition package like guess-language.
Or if you want to recognize English text without using the self-identified twitter data (i.e. a chinese account that is writing in English), then you have to do Natural Language Processing. One option. This method will recognize common English words and then mark the text as English.
I try this for farsi:
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
res = api.search('lang','fa')
for i in res:
print( i.lang)