![Linkedin Contacts CSV Uploader avatar](https://images.apifyusercontent.com/atY7qV3XG169qc_ifk2gGnO05xmunnVNoX4jGJI35xs/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9tMGNhVWEyMVJzVHJ1ZFAxTS82YkFjQ3ZvSEpSWGRUdHdwZS1DU1ZfVXBsb2FkX3RvX0xpbmtlZGluLmpwZWc.webp)
Linkedin Contacts CSV Uploader
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View all Actors![Linkedin Contacts CSV Uploader](https://images.apifyusercontent.com/atY7qV3XG169qc_ifk2gGnO05xmunnVNoX4jGJI35xs/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9tMGNhVWEyMVJzVHJ1ZFAxTS82YkFjQ3ZvSEpSWGRUdHdwZS1DU1ZfVXBsb2FkX3RvX0xpbmtlZGluLmpwZWc.webp)
![Linkedin Contacts CSV Uploader](https://images.apifyusercontent.com/atY7qV3XG169qc_ifk2gGnO05xmunnVNoX4jGJI35xs/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9tMGNhVWEyMVJzVHJ1ZFAxTS82YkFjQ3ZvSEpSWGRUdHdwZS1DU1ZfVXBsb2FkX3RvX0xpbmtlZGluLmpwZWc.webp)
Linkedin Contacts CSV Uploader
big-brain.io/linkedin-contacts-uploader
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7 days trial then $20.00/month - No credit card required now
Send connection requests and bypass Linkedin's new limits by importing a Google Sheet or public CSV with email addresses. Go from 100 connection requests per week to 1000 per day.
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
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "proxyConfiguration": { "useApifyProxy": True } }
8
9# Run the Actor and wait for it to finish
10run = client.actor("big-brain.io/linkedin-contacts-uploader").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15 print(item)
16
17# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
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- Created in May 2021
- Modified over 2 years ago
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