Can't pull more than 100 tweets

[KirenCO123]

I am trying to collect users' liked tweets and I can only gather the most recent 100, I am very new to web scraping so I am struggling a little bit figuring out what to do to fix this error. If it isn't possible to gather more than 100 at a time, is there a way to gather them in batches (meaning I would get the first most recent hundred then the second most recent hundred and so on and so forth)? I've put my code below if anyone could help!

`from twikit import Client
import json
import pandas as pd
client=Client('en-US')
client.login(
auth_info_1='username,'
password='password'
)

client.save_cookies('cookies.json')
client.load_cookies(path='cookies.json')
user=client.get_user_by_screen_name('username')
tweets=user.get_tweets('Likes',count=500)
tweets_to_store=[]
for tweet in tweets:
tweets_to_store.append({
'created_at':tweet.created_at,
'favorite_count':tweet.favorite_count,
'full_text':tweet.full_text
})

df=pd.DataFrame(tweets_to_store)
df.to_csv('liked_tweets.csv', index=False)`

[d60]

@KirenCO123
You can retrieve more tweets by calling next method. Below is an example of the code.

from twikit import Client
import json
import os
import pandas as pd

client=Client('en-US')

if os.path.exists('cookies.json'):
    client.load_cookies(path='cookies.json')
else:
    client.login(
        auth_info_1='username',
        auth_info_2='email'
        password='password'
    )
    client.save_cookies('cookies.json')

user = client.get_user_by_screen_name('username')

limit = 500
tweets_ = []
tweets = user.get_tweets('Likes', count=500)

while len(tweets_to_store) < limit and len(tweets) > 0:
    tweets_ += tweets
    try:
        tweets = tweets.next()  # Call next method to retrieve more tweets
    except:
        break

tweets_to_store=[]

for tweet in tweets:
    tweets_to_store.append({
        'created_at': tweet.created_at,
        'favorite_count': tweet.favorite_count,
        'full_text': tweet.full_text
    })

df=pd.DataFrame(tweets_to_store)
df.to_csv('liked_tweets.csv', index=False)

[KirenCO123]

Thank you so much! Here is the code that ended up working for me in the end :)

`from twikit import Client
import json
import os
import pandas as pd

client = Client('en-US')

if os.path.exists('cookies.json'):
client.load_cookies(path='cookies.json')
else:
client.login(
auth_info_1='your_auth_info_1',
auth_info_2='your_auth_info_2',
password='your_password'
)

user = client.get_user_by_screen_name('username')username
limit = 500
tweets_to_store = []

tweets = user.get_tweets('Likes', count=500)

while len(tweets_to_store) < limit and len(tweets) > 0:
for tweet in tweets:
tweets_to_store.append({
'created_at': tweet.created_at,
'favorite_count': tweet.favorite_count,
'full_text': tweet.full_text
})
if len(tweets_to_store) >= limit:
break
try:
tweets = tweets.next()
except:
break

df = pd.DataFrame(tweets_to_store)
df.to_csv('tweets.csv', index=False)
`