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README.md

@@ -1,12 +1,6 @@
 ---
-title: IYC Instagram Scraping Tool
-emoji: 👁
-colorFrom: purple
-colorTo: yellow
+title: IYC_instagram_scraping_tool
+app_file: webapp.py
 sdk: gradio
-sdk_version: 4.19.2
-app_file: app.py
-pinned: false
+sdk_version: 4.3.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

utils.py

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+import pandas as pd
+import requests
+
+
+
+def extract_instagram_code(url: str) -> str:
+    parts = list(filter(None, url.split('/')))
+    return parts[-1]
+
+
+def get_users_from_keyword(keyword: str):
+    import requests
+
+    url = f"https://api.instagapi.com/searchuser/{keyword}"
+
+    headers = {
+	"X-InstagAPI-Key": "ec4fe09e395935a8df1a3228ead80655"
+    }
+
+    response = requests.get(url, headers=headers)
+
+    data = []
+    for user in response.json()['data']:
+        user = user['user']
+        data.append({
+            "username": user['username'],
+            'is_verified': user['is_verified']
+        })
+
+    df = pd.DataFrame(data)
+    return df
+
+def get_comments(url: str):
+    shortcode = extract_instagram_code(url)
+    url = f"https://api.instagapi.com/postcomments/{shortcode}/"
+
+    headers = {
+	"X-InstagAPI-Key": "ec4fe09e395935a8df1a3228ead80655"
+    }
+
+    response = requests.get(url, headers=headers)
+
+
+    data = []
+    for comment in response.json()['data']['comments']:
+        data.append({
+            "username": comment['user']['username'],
+            "comment_text": comment['text'],
+            "user_is_verified": comment['user']['is_verified'],
+            "user_is_private": comment['user']['is_private'],
+            "comment_like_count": comment['comment_like_count']  # Assuming this is the correct key
+
+
+        })
+
+    df = pd.DataFrame(data)
+    return df
+

webapp.py

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+import gradio as gr
+from utils import get_comments, get_users_from_keyword
+
+iface1 = gr.Interface(fn=get_comments, 
+                     inputs=gr.Textbox(label="Instagram Post URL"), 
+                     outputs=gr.Dataframe(),
+                     title="Instagram Comments Extractor",
+                     description="Enter an Instagram post URL to extract and display comments.")
+
+
+iface2 = gr.Interface(fn=get_users_from_keyword, 
+                     inputs=gr.Textbox(label="Search keyword"), 
+                     outputs=gr.Dataframe(),
+                     title="Instagram User keyword search",
+                     description="Enter an keyword to search for users.")
+
+demo = gr.TabbedInterface([iface1, iface2], ["Instagram comment extractor", "Instagram user keyword search"])
+
+demo.launch(share=True)