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Smart Dev
Stay updated with our Telegram bot developments, discover new GitHub repositories, and get the best Python scripts. Join Smart Dev for smart coding solutions! This Channel Part Of @PremiumNetworkPlus
Show moreπ Analytical overview of Telegram channel Smart Dev
Channel Smart Dev (@itssmartdev) in the English language segment is an active participant. Currently, the community unites 10 150 subscribers, ranking 12 043 in the Technologies & Applications category and 39 651 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 10 150 subscribers.
According to the latest data from 25 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 885 over the last 30 days and by 37 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.50%. Within the first 24 hours after publication, content typically collects 5.87% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 369 views. Within the first day, a publication typically gains 595 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
- Thematic interests: Content is focused on key topics such as util, selection, api, canva, deadline.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βStay updated with our Telegram bot developments, discover new GitHub repositories, and get the best Python scripts. Join Smart Dev for smart coding solutions!
This Channel Part Of @PremiumNetworkPlusβ
Thanks to the high frequency of updates (latest data received on 26 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
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import requests
import json
# Path to your cookies file
cookies_file = 'cookie.json'
# Your target URL
url = 'https://www.abcd.com'
# Function to load cookies from a file
def load_cookies(file_path):
with open(file_path, 'r') as file:
cookies_raw = json.load(file)
cookies = {}
if isinstance(cookies_raw, dict):
for key, value in cookies_raw.items():
cookies[key] = value
elif isinstance(cookies_raw, list):
for cookie in cookies_raw:
if 'name' in cookie and 'value' in cookie:
cookies[cookie['name']] = cookie['value']
else:
raise ValueError("Cookies are in an unsupported format.")
return cookies
# Load cookies from the file
cookies_from_file = load_cookies(cookies_file)
# Create a session object
session = requests.Session()
# Add the loaded cookies to the session
for name, value in cookies_from_file.items():
session.cookies.set(name, value)
# Send a request to the target URL
response = session.get(url)
# Print the request header cookie
# Note: The cookies may be sent as part of the request, but they might not appear directly in the 'Cookie' header due to the way requests handles them internally.
# This print statement will attempt to reconstruct the Cookie header as it might appear in the actual HTTP request.
cookies_header = '; '.join([f'{name}={value}' for name, value in session.cookies.items()])
print(f'Cookie: {cookies_header}')