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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:

Example Puppeteer Promise Pool API in JavaScript

Example Puppeteer Promise Pool API through CLI

Example Puppeteer Promise Pool API

Developer

Marek Trunkát

Actor metrics

2 monthly users
3 stars
100.0% runs succeeded
Created in Dec 2017
Modified 11 months ago

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