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Network Linkedin batch Connection requests
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View all Actors![Network Linkedin batch Connection requests](https://images.apifyusercontent.com/_wtAnfLgG9AUHKdkjX0w3by8XdgRNMDNzqA_DgpT_Fg/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vNEx2UlQ1R04zcmhINlFtWTUvNWdkSlBaUXVQd1lHb0ZZS24tbGlua2VkaW4taWNvbi0yNTZ4MjU2LTZ5cWFrbTdsLnBuZw.webp)
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Network Linkedin batch Connection requests
saswave/network-linkedin-batch-connection-requests
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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
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 more
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4const client = new ApifyClient({
5 token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10 "queries": [
11 {
12 "url": "https://www.linkedin.com/in/thomas-l/",
13 "message": " Hey !\n I love your linkedin automations <3"
14 }
15 ]
16};
17
18(async () => {
19 // Run the Actor and wait for it to finish
20 const run = await client.actor("saswave/network-linkedin-batch-connection-requests").call(input);
21
22 // Fetch and print Actor results from the run's dataset (if any)
23 console.log('Results from dataset');
24 console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25 const { items } = await client.dataset(run.defaultDatasetId).listItems();
26 items.forEach((item) => {
27 console.dir(item);
28 });
29})();
30
31// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
Developer
Maintained by Community
Actor metrics
- 7 monthly users
- 4 stars
- 39.8% runs succeeded
- 15 days response time
- Created in Nov 2023
- Modified 18 days ago
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