Develop Reference

How to search a specific country's tweets with Tweepy client.search_recent_tweets()

y'all. I'm trying to figure out how to sort for a specific country's tweets using search_recent_tweets. I take a country name as input, use pycountry to get the 2-character country code, and then I can either put some sort of location filter in my query or in search_recent_tweets params. Nothing I have tried so far in either has worked.
######
import tweepy
from tweepy import OAuthHandler
from tweepy import API
import pycountry as pyc
# upload token
BEARER_TOKEN='XXXXXXXXX'
# get tweets
client = tweepy.Client(bearer_token=BEARER_TOKEN)
# TAKE USER INPUT
countryQuery = input("Find recent tweets about travel in a certain country (input country name): ")
keyword = 'women safe' # gets tweets containing women and safe for that country (safe will catch safety)
# get country code to plug in as param in search_recent_tweets
country_code = str(pyc.countries.search_fuzzy(countryQuery)[0].alpha_2)
# get 100 recent tweets containing keywords and from location = countryQuery
query = str(keyword+' place_country='+str(countryQuery)+' -is:retweet') # search for keyword and no retweets
posts = client.search_recent_tweets(query=query, max_results=100, tweet_fields=['id', 'text', 'entities', 'author_id'])
# expansions=geo.place_id, place.fields=[country_code],
# filter posts to remove retweets
# export tweets to json
import json
with open('twitter.json', 'w') as fp:
for tweet in posts.data:
json.dump(tweet.data, fp)
fp.write('\n')
print("* " + str(tweet.text))
I have tried variations of:
query = str(keyword+' -is:retweet') # search for keyword and no retweets
posts = client.search_recent_tweets(query=query, place_fields=[str(countryQuery), country_code], max_results=100, tweet_fields=['id', 'text', 'entities', 'author_id'])
and:
query = str(keyword+' place.fields='+str(countryQuery)+','+country_code+' -is:retweet') # search for keyword and no retweets
posts = client.search_recent_tweets(query=query, max_results=100, tweet_fields=['id', 'text', 'entities', 'author_id'])
These either ended up pulling me NoneType tweets aka nothing or causing a
"The place.fields query parameter value [Germany] is not one of [contained_within,country,country_code,full_name,geo,id,name,place_type]"
The documentation for search_recent_tweets seems like place.fields / place_fields / place_country should be supported.
Any advice would help!!!

Twitter API to fetch Tweets in Python

I'm trying to fetch Tweets from multiple Twitter accounts and then create a database with the TWEETS and the source of the TWEET " user name " by using the following code
posts = api.user_timeline(screen_name = 'AlArabiya_Brk', count = 100 , lang =
"ar",tweet_mode="extended")
df = pd.DataFrame([tweet.full_text for tweet in posts], columns = [ 'Tweets'])
but I have a question: how can I add more than one account? I tried doing:
posts = api.user_timeline(screen_name = ['AlArabiya_Brk','AJABreaking'], count = 100
,lang ="ar",tweet_mode="extended")
but didn't get the desired output

You'll need to make multiple calls with that method.
That API endpoint only allows a single screen name input.

How to get followers and followee list of >500 Twitter users using tweepy?

I want to create a network graph of followers and followee of a list of over 500 Twitter users and for that, I am storing followers list and followee list of every user in user_list. I tried this code but it took too long to execute (it's been >18hrs) and at the end gave an error that I pasted here: https://pastebin.com/dgBgGN6M
user_list = []
for user in unique_creators:
ff_list = []
followers = []
for follower in tweepy.Cursor(api.followers, screen_name=user, count=1000).items():
followers.append(follower.screen_name)
friends = []
for friend in tweepy.Cursor(api.friends, screen_name=user, count=1000).items():
friends.append(friend.screen_name)
ff_list = [followers, friends]
user_list.append(ff_list)
Here unique_creators is the list of screen_names of Twitter users. Can someone please tell if I am doing something wrong?

TweePy For Loop not looping all data

Use this is code snippet :
user = api.get_user('xxxx')
print(user.followers_count)
for i in user.friends():
print(i.screen_name)
result for follower count is 700
but why when looping all data only show 21 row data?

Whilst getting the names of all followers of a user is possible you are likely to get banned from exceeding rate limits quickly.
The following code will tell you how many followers a user has and then list all the username of the people who follow the user.
username = 'keely_bro'
userID = api.get_user(username)
print('User is followed by ' + str(userID.followers_count) + ' people')
print('usernames of followers: ')
for allFollowers in tweepy.Cursor(api.followers_ids, screen_name=username).pages():
followerNames = [userID.screen_name for userID in api.lookup_users(allFollowers)]
for follow in followerNames:
print(follow)

Tweepy api.followers and count limits

I'm looking to retrieve the followers on some account with more than 5000 followers.
I've seen in a other topic than it's easier to proceed by page then by items per page. (link : tweepy count limited to 200?)
Once it reads all the id, it must check on the profile description if there is a element of a list i created before.
here's my previous code (note op, without using the api.followers):
for element in liste2:
print element
resultats = api.search_users(q=element, count=5000)
for user in resultats:
print user.id
i = 0;
user = api.get_user(user.id)
print user.name
while (i != 4):
if (user.description.find(liste1[i])!= 1):
print user.name + " valide"
i = 4;
statuses = api.user_timeline(id = user.id, count = 20\
0)
The counter doesn't work that's why i want to switch for api.followers witch seems to be more nice.
Thanks for reading