Add Demo tweepy File

Add Demo tweepy File

Author: MuhammadAzizulHakim

Diff for: Article40 - tweepy/demo_tweepy.py

@@ -0,0 +1,47 @@
+# Import libraries
+import pandas as pd, tweepy
+
+# Key & access tokens
+consumer_key = "YOUR CONSUMER KEY"
+consumer_secret = "YOUR CONSUMER SECRET"
+access_token = "YOUR ACCESS TOKEN"
+access_token_secret = "YOUR ACCESS TOKEN SECRET"
+
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth)
+
+# Open your text file/snscrape output
+tweet_url = pd.read_csv("twitter-@EmbarcaderoTech.txt", index_col= None, header = None, names = ["links"])
+print(tweet_url.head())
+
+# Extract the tweet_id using .split function
+af = lambda x: x["links"].split("/")[-1]
+tweet_url['id'] = tweet_url.apply(af, axis=1)
+print(tweet_url.head())
+
+# Convert our tweet_url Series into a list
+ids = tweet_url['id'].tolist()
+
+# Process the ids by batch or chunks.
+total_count = len(ids)
+chunks = (total_count - 1) // 50 + 1
+
+# Username, date and the tweet themselves, so my code will only include those queries.
+def fetch_tw(ids):
+    list_of_tw_status = api.statuses_lookup(ids, tweet_mode= "extended")
+    empty_data = pd.DataFrame()
+    for status in list_of_tw_status:
+        tweet_elem = {"tweet_id": status.id,
+                      "screen_name": status.user.screen_name,
+                      "tweet":status.full_text,
+                      "date":status.created_at,
+                      "retweet_count": status.retweet_count,
+                      "favorite_count": status.favorite_count}
+        empty_data = empty_data.append(tweet_elem, ignore_index = True)
+    empty_data.to_csv("embarcaderoTech_Tweets.csv", mode="a")
+
+# Create another for loop to loop into our batches while processing 50 entries every loop
+for i in range(chunks):
+    batch = ids[i*50:(i+1)*50]
+    result = fetch_tw(batch)