I have this app that I use to get comments from a facebook post, but 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, so I added 10s waiting time. However, it does not seem to help.

import requests
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".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".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'.")