Resurrect run on Out of memory
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Resurrect run on Out of memory
lukaskrivka/resurrect-on-out-of-memory
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Simple helper actor to resurrect your runs when they run out of memory.
You can access the Resurrect run on Out of memory 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 = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("lukaskrivka/resurrect-on-out-of-memory").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startResurrect run on Out of memory API in Python
The Apify API client for Python is the official library that allows you to use Resurrect run on Out of memory API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Developer
Lukáš KřivkaMaintained by Community
Actor metrics
- 1 monthly user
- 2 stars
- 100.0% runs succeeded
- Created in Apr 2022
- Modified over 2 years ago
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