Example Puppeteer Promise Pool
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Example Puppeteer Promise Pool
mtrunkat/puppeteer-promise-pool-example
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Example how to use Puppeteer in parallel using 'es6-promise-pool' npm package.
You can access the Example Puppeteer Promise Pool 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("mtrunkat/puppeteer-promise-pool-example").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-start
Example Puppeteer Promise Pool API in Python
The Apify API client for Python is the official library that allows you to use Example Puppeteer Promise Pool API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
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Maintained by Community
Actor metrics
- 2 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in Dec 2017
- Modified 12 months ago
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