Develop Reference

How to get the likes of every tweet containing a specific hashtag with tweepy

I can retrieve tweets with a specific hashtag using tweepy:
Code:
from os import access
import tweepy
import configparser
import pandas as pd
# config = configparser.ConfigParser()
# config.read('config.ini')
api_key = ''
api_key_secret = ''
access_token = ''
access_token_secret = ''
auth = tweepy.OAuthHandler(api_key, api_key_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
# user = '#veritasium'
keywords = '#SheHulk'
limit = 1200
tweets = tweepy.Cursor(api.search_tweets, q = keywords, count = 100, tweet_mode = 'extended').items(limit)
columns = ['User', 'Tweet']
data = []
for tweet in tweets:
data.append([tweet.user.screen_name, tweet.full_text])
df = pd.DataFrame(data, columns=columns)
df.to_excel("output.xlsx")
What I want to know is that if I can get the number of likes with every tweet that is retrieved. Any help would be appreciated.

In the Twitter API V1.1 (see documentation here), that field was called favorite_count.
for tweet in tweets:
print(f"That tweet has {tweet.favorite_count} likes").

How to get twitter userID from username using tweepy?

I am getting error : help me I tried many times. But it's not showing id from username.
for tweet in tweepy.Cursor(api..........:
try:
screen_name= "NFTfemmefatale"
id = screen_name
get = api.get_user(id)
print("id:" + str (get))
except:
print("error")

try this:
import tweepy
# assign the values accordingly
consumer_key = ""
consumer_secret = ""
access_token = ""
access_token_secret = ""
# authorization of consumer key and consumer secret
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
# set access to user's access key and access secret
auth.set_access_token(access_token, access_token_secret)
# calling the api
api = tweepy.API(auth)
# the screen name of the user
screen_name = "yourname"
# fetching the user
user = api.get_user(screen_name)
# fetching the ID
ID = user.id_str
print("The ID of the user is : " + ID)

Tweepy double scraping

I have been using tweepy to scrape twitter for about 9 months. On Friday of last week my scraper stopped working as it did two things: 1) It started to return an empty list instead of previous tweets when tweets are present on the users profile 2) scrape old tweets when only the most recent tweets should be scraped. Has anyone been experiencing the same issues? Any suggested fixes appreciated!
def get_tweets(username):
# Authorization to consumer key and consumer secret
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
# Access to user's access key and access secret
auth.set_access_token(access_key, access_secret)
# Calling api
api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True)
text_of_tweet = None
tweet_id = None
number_of_tweets = 1
# Scrape the most recent tweet on the users timeline
tweet = api.user_timeline(screen_name=username, count=number_of_tweets, include_rts=False)
# Check if string all ascii
for item in tweet:
text_of_tweet = item.text
tweet_id = item.id
if (all(ord(c) < 128 for c in text_of_tweet)) == False:
text_of_tweet = conv_true_ascii(text_of_tweet)
list_of_sentences = re.split(r'(?<=[^A-Z].[.?]) +(?=[A-Z])', text_of_tweet)
text_of_tweet = list_of_sentences[0]
text_of_tweet = text_of_tweet.split('\n')[0]
# Write to CSV
# csvWriter.writerow([text_of_tweet, tweet_time, tweet_id])
# Return tweet
return text_of_tweet, tweet_id
def conv_true_ascii(single_tweet):
edit_start = single_tweet.encode('ascii', errors='ignore')
edited_tweet = edit_start + b'' * (len(single_tweet) - len(edit_start))
edited_tweet = str(edited_tweet)
edited_tweet = edited_tweet.replace("b'", '')
edited_tweet = edited_tweet.replace(edited_tweet[-1], '')
return edited_tweet

How to extract tweets location which contain specific keyword using twitter API in Python

I am trying to extract the all tweets which contain specific keyword and its geo locations .
for example , I want download all the tweets in english which contains the keyword 'iphone' from 'france' and 'singapore'
My code
import tweepy
import csv
import pandas as pd
import sys
# API credentials here
consumer_key = 'INSERT CONSUMER KEY HERE'
consumer_secret = 'INSERT CONSUMER SECRET HERE'
access_token = 'INSERT ACCESS TOKEN HERE'
access_token_secret = 'INSERT ACCESS TOKEN SECRET HERE'
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
# Search word/hashtag value
HashValue = ""
# search start date value. the search will start from this date to the current date.
StartDate = ""
# getting the search word/hashtag and date range from user
HashValue = input("Enter the hashtag you want the tweets to be downloaded for: ")
StartDate = input("Enter the start date in this format yyyy-mm-dd: ")
# Open/Create a file to append data
csvFile = open(HashValue+'.csv', 'a')
#Use csv Writer
csvWriter = csv.writer(csvFile)
for tweet in tweepy.Cursor(api.search,q=HashValue,count=20,lang="en",since=StartDate, tweet_mode='extended').items():
print (tweet.created_at, tweet.full_text)
csvWriter.writerow([tweet.created_at, tweet.full_text.encode('utf-8')])
print ("Scraping finished and saved to "+HashValue+".csv")
#sys.exit()
How can this be done.

-Hello- Rahul
As I understand it you are looking to get geo data off searched tweets rather then filter search based on geocode.
Here is a code sample with the relevant fields you are interested in. These may or may not be provided depending on the tweeters privacy settings.
Note there is no "since" parameter on the search API:
https://tweepy.readthedocs.io/en/latest/api.html#help-methods
https://developer.twitter.com/en/docs/tweets/search/api-reference/get-search-tweets
Standard twitter api search goes back 7 days. The premium and enterprise APIs have 30 day search as well as Full Archive search, but you will pay $$$.
Unfortunately tweepy still hasn't had their models documented:
https://github.com/tweepy/tweepy/issues/720
So if you want to look at the tweet object you can use pprint package and run:
pprint(tweet.__dict__)
One difference I noticed was the "text" field in the JSON became "full_text" in the object.
There's also information on the original tweet in there if the one you found was a quote tweet, has the same info from what I could see.
Anyway here's the code, I added a max tweet count for looping through the cursor while I was testing to avoid blowing any API limits.
Let me know if you want csv code but it looks like you can handle that already.
import tweepy
# API credentials here
consumer_key = 'your-info'
consumer_secret = 'your-info'
access_token = 'your-info'
access_token_secret = 'your-info'
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
searchString = "iPhone"
cursor = tweepy.Cursor(api.search, q=searchString, count=20, lang="en", tweet_mode='extended')
maxCount = 1
count = 0
for tweet in cursor.items():
print()
print("Tweet Information")
print("================================")
print("Text: ", tweet.full_text)
print("Geo: ", tweet.geo)
print("Coordinates: ", tweet.coordinates)
print("Place: ", tweet.place)
print()
print("User Information")
print("================================")
print("Location: ", tweet.user.location)
print("Geo Enabled? ", tweet.user.geo_enabled)
count = count + 1
if count == maxCount:
break;
Will output something like this:
Tweet Information
================================
Text: NowPlaying : Hashfinger - Leaving
https://derp.com
#iPhone free app https://derp.com
#peripouwebradio
Geo: None
Coordinates: None
Place: None
User Information
================================
Location: Greece
Geo Enabled? True

Tweepy Search w/ While Loop

This is driving me crazy. As you can see below I am trying to use a simple while loop to perform a couple of tweepy searches and append them into a data frame. For some reason however after pulling the first set of 100 tweets it just repeats that set instead of performing a new search. Any advice would be greatly appreciated.
import sys
import csv
import pandas as pd
import tweepy
from tweepy import OAuthHandler
consumer_key = ''
consumer_secret = ''
access_token = ''
access_secret = ''
auth = OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_secret)
api = tweepy.API(auth)
num_results = 200
result_count = 0
last_id = None
df = pd.DataFrame(columns=['Name', 'Location', 'Followers', 'Text', 'Coorinates'])
while result_count < num_results:
result = api.search(q='',count=100, geocode= "38.996918,-104.995826,190mi", since_id = last_id)
for tweet in result:
user = tweet.user
last_id = tweet.id_str
name = user.name
friends = user.friends_count
followers = user.followers_count
text = tweet.text.encode('utf-8')
location = user.location
coordinates = tweet.coordinates
df.loc[result_count] = pd.Series({'Name':name, 'Location':location, 'Followers':followers, 'Text':text, 'Coordinates':coordinates})
print(text)
result_count += 1
# Save to Excel
print("Writing all tables to Excel...")
df.to_csv('out.csv')
print("Excel Export Complete.")

The API.search method returns tweets that match a specified query. It's not a Streaming APi, so it returns all data at once.
Furthermore, in your query parameters, you have added count, that specifies the number of statuses to retrieve.
So the problem is that with your query you are returning the first 100 data of the complete set for each while iteration.
I suggest you to change the code in something like this
result = api.search(q='', geocode= "38.996918,-104.995826,190mi", since_id = last_id)
for tweet in result:
user = tweet.user
last_id = tweet.id_str
name = user.name
friends = user.friends_count
followers = user.followers_count
text = tweet.text.encode('utf-8')
location = user.location
coordinates = tweet.coordinates
df.loc[result_count] = pd.Series({'Name':name, 'Location':location, 'Followers':followers, 'Text':text, 'Coordinates':coordinates})
print(text)
Let me know.