So i have this app that i use to get comments from a facebook post, however i encounter a problem when there are more than 300 comments. As some comments turn into random numbers? Example. At first i thought that maybe i am making API requests too often, thus i added 10s waiting time. However it does not seem to help. I would be grateful if you have any ideas as to why this is. Thank you in advance import json import time import pandas as pd ACCESS_TOKEN = "xx" POST_ID = "xx" # main function to get comments def get_all_comments(post_id, limit=1000): comments = [] url = f"https://graph.facebook.com/v22.0/{post_id}/comments?fields=id,message,from&limit=50&access_token={ACCESS_TOKEN}" while url: response = requests.get(url) data = response.json() if "data" in data: for comment in data["data"]: comment_id = comment.get("id") commenter_name = comment.get("from", {}).get("name", "Nežinomas komentuotojas") comment_message = str(comment.get("message", "Nėra komentaro")) comments.append({"Vartotojas": commenter_name, "Komentaras": comment_message}) # Stopping when gets the amount of comments equal to limits if len(comments) >= limit: return comments paging = data.get("paging", {}) cursor = paging.get("cursors", {}).get("after", None) if cursor: time.sleep(10) url = f"https://graph.facebook.com/v22.0/{post_id}/comments?fields=id,message,from&limit=50&after={cursor}&access_token={ACCESS_TOKEN}" else: url = None return comments comments = get_all_comments(POST_ID, limit=1000) # Saving in JSON with open("comments_from_page.json", "w", encoding="utf-8") as file: json.dump(comments, file, ensure_ascii=False, indent=4) print(f" Iš viso gauta {len(comments)} komentarų.") # Saving in excel df = pd.DataFrame(comments) df.to_excel("comments_from_page.xlsx", index=False, engine='openpyxl') print("Komentarai sėkmingai perkelti į 'comments_from_page.xlsx'.") Continue reading...