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Sales Navigator New Prospects From Saved Search
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View all Actors![Sales Navigator New Prospects From Saved Search](https://images.apifyusercontent.com/0Rj4Ghbd_LnRDXu0nUCV3j7OahTcREsK_e6jTiy_CCE/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9veFZJZzBmdVowdU1jTG95VC9vMlN1TFlmTDlGbVpqTmNwTi1zYWxlcy5qcGVn.webp)
![Sales Navigator New Prospects From Saved Search](https://images.apifyusercontent.com/0Rj4Ghbd_LnRDXu0nUCV3j7OahTcREsK_e6jTiy_CCE/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9veFZJZzBmdVowdU1jTG95VC9vMlN1TFlmTDlGbVpqTmNwTi1zYWxlcy5qcGVn.webp)
Sales Navigator New Prospects From Saved Search
saswave/sales-navigator-new-prospects-from-saved-search
Try for free
1 day trial then $25.00/month - No credit card required now
Extract new prospects from all your saved search lists on your Sales Navigator account Trigger can be automated with Schedules Integrations can be handled within apify paltform and the supported integrations
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 = {}
8
9# Run the Actor and wait for it to finish
10run = client.actor("saswave/sales-navigator-new-prospects-from-saved-search").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
Actor metrics
- 2 monthly users
- 3 stars
- 100.0% runs succeeded
- 11 hours response time
- Created in Apr 2023
- Modified 6 months ago
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