Telegram Group or Channel Adder Using Member Json Data
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Telegram Group or Channel Adder Using Member Json Data
1 day trial then $30.00/month - No credit card required now
Telegram Group or Channel Adder Using Member Json Data- Add member into telegram group or channel by input json file as per scrap from Telegram Groups/Channel Member Scraper Actor
You can access the Telegram Group or Channel Adder Using Member Json Data programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "USER_Name": [{
10 "user_id": 5306485772,
11 "user_name": "sanjaybh98",
12 "access_hash": 1.0729262128133801e+22,
13 "first_name": "bh",
14 "last_name": "software",
15 }],
16 "Target_Group": "My Target Group-BH",
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("bhansalisoft/telegram-group-or-channel-adder-using-member-json-data").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25 print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTelegram Group or Channel Adder Using Member Json Data API in Python
The Apify API client for Python is the official library that allows you to use Telegram Group or Channel Adder Using Member Json Data API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
bhansalisoft- 17 monthly users
- 0 stars
- 100.0% runs succeeded
- 8.4 hours response time
- Created in Jul 2024
- Modified 4 months ago
