Network Linkedin batch Connection requests
3 days trial then $20.00/month - No credit card required now
Network Linkedin batch Connection requests
3 days trial then $20.00/month - No credit card required now
SEND / REMOVE / LIST batch of linkedin connection requests. Recommended to call the actor once a day when ADDing. The script has a hard limit of 20 successfull connections requests per run. Linkedin has weekly limits setup (100-200) recommended usage: One run per day with 15-20 automated connection
You can access the Network Linkedin batch Connection requests 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 = { "queries": [{
9 "url": "https://www.linkedin.com/in/thomas-l/",
10 "message": """ Hey !
11 I love your linkedin automations <3""",
12 }] }
13
14# Run the Actor and wait for it to finish
15run = client.actor("saswave/network-linkedin-batch-connection-requests").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startNetwork Linkedin batch Connection requests API in Python
The Apify API client for Python is the official library that allows you to use Network Linkedin batch Connection requests API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
SASWAVE- 7 monthly users
- 4 stars
- 10.9% runs succeeded
- 28 days response time
- Created in Nov 2023
- Modified 29 days ago
