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main.py

+import snscrape.modules.twitter as sntwitter
+import pandas as pd
+import datetime as dt
+
+# cool
+df = pd.DataFrame(columns=['date', 'tweet'])
+limit = 100
+
+for i, tweet in enumerate(sntwitter.TwitterSearchScraper(query=" Metaverse -filter:replies -filter:links -filter:retweets -filter:nativeretweets").get_items()):
+    if i > limit:
+        break
+    if (tweet.lang == "en"):
+        df2 = {'date': tweet.date.strftime(
+            "%m/%d/%Y, %H:%M:%S"), 'tweet': tweet.rawContent}
+
+        df = pd.concat([df, pd.DataFrame.from_records([df2])])
+
+    print(i/limit*100)
+
+
+df = df.drop_duplicates(subset=["tweet"])
+df = df.sort_values(by=["tweet"])
+df.to_json("twitter_data.json", orient="split")