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Network Linkedin batch Connection requests
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Network Linkedin batch Connection requests

Network Linkedin batch Connection requests

saswave/network-linkedin-batch-connection-requests
Try for free

1 day trial then $10.00/month - No credit card required now

Send batch of connection requests. Recommended to call the actor once a day. The script has a hard limit of 20 successfull connections requests per run. Linkedin has daily limits setup recommended usage: One run per day with 15-20 automated connection

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "queries": [{
9            "url": "https://www.linkedin.com/in/thomas-l/",
10            "message": "Hey ! i love your linkedin automations <3",
11        }],
12    "cookies": [{
13            "domain": ".linkedin.com",
14            "expirationDate": 1716940616.08443,
15            "hostOnly": False,
16            "httpOnly": False,
17            "name": "test",
18            "path": "/",
19            "sameSite": "no_restriction",
20            "secure": True,
21            "session": False,
22            "storeId": "0",
23            "value": "fake",
24            "id": 1,
25        }],
26}
27
28# Run the Actor and wait for it to finish
29run = client.actor("saswave/network-linkedin-batch-connection-requests").call(run_input=run_input)
30
31# Fetch and print Actor results from the run's dataset (if there are any)
32for item in client.dataset(run["defaultDatasetId"]).iterate_items():
33    print(item)
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Actor metrics
  • 1 monthly users
  • 100.0% runs succeeded
  • Modified 3 months ago

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