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mastodon-get-posts.org~

@@ -1,69 +0,0 @@
-* Import 
-#+begin_src python
-import json
-import requests
-import pandas as pd
-from mastodon import Mastodon # to get the user id
-from datetime import date # to get the current date
-import subprocess # for getting access token from pass
-from bs4 import BeautifulSoup # to more easily read the html output
-#+end_src
-* Get/refresh data
-- I used [[https://jrashford.com/2023/02/13/how-to-scrape-mastodon-timelines-using-python-and-pandas/][this]] setup.
-#+begin_src python
-# Get access token
-personal_access_token=subprocess.check_output(["pass", 'mastodon/access_token']).strip().decode('utf-8')
-
-#  Set up access
-instance = "https://social.edu.nl"
-mastodon = Mastodon(api_base_url=instance, access_token=personal_access_token)
-
-#  Get user's info
-me = mastodon.me()
-my_id = me["id"]
-
-URL = f'{instance}/api/v1/accounts/{my_id}/statuses'
-params = {
-    'limit': 40
-}
-
-results = []
-
-while True:
-    r = requests.get(URL, params=params)
-    toots = json.loads(r.text)
-
-    if len(toots) == 0:
-        break
-    
-    results.extend(toots)
-    
-    max_id = toots[-1]['id']
-    params['max_id'] = max_id
-    
-df = pd.DataFrame(results)
-
-current_date = date.today()
-current_dir="/".join(inspect.getfile(inspect.currentframe()).split("/")[:-1])
-file_name_save=f'{current_dir}/mydata_{current_date}.csv'
-df.to_csv(file_name_save, index=False)
-
-#+end_src
-
-* Use/search data
-Use existing data multiple times.
-#+begin_src python
-df=pd.read_csv(file_name_save)
-
-query="test"
-
-# Search for words
-for i in df['content']:
-    if isinstance(i,str):
-      if query in i:
-          soup = BeautifulSoup(i, 'html.parser')
-          readable_text = soup.get_text(separator=' ', strip=True)
-          print(readable_text)
-          print("----")
-#+end_src
-