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Apify Run Queue

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Apify Run Queue

Apify Run Queue

Developed by

Lexis Solutions

Maintained by Community

Apify utility to queue runs until memory is available. Workaround to memory exceeded errors on Apify. This actor will retry starting actor starts with a delay. Open source and free!

5.0 (3)

Pricing

Pay per usage

7

Total users

5

Monthly users

5

Last modified

3 days ago

You can access the Apify Run Queue programmatically from your own 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 = { "actorCalls": [{
9            "actorId": "apify/website-content-crawler",
10            "input": { "startUrls": [{ "url": "https://www.apify.com" }] },
11        }] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("lexis-solutions/apify-run-queue").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Apify Run Queue API in Python

The Apify API client for Python is the official library that allows you to use Apify Run Queue API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include: