You can access the Puppeteer Scraper 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "startUrls": [{ "url": "https://apify.com" }],
10    "pseudoUrls": [{ "purl": "https://apify.com[(/[\\w-]+)?]" }],
11    "linkSelector": "a",
12    "pageFunction": """async function pageFunction(context) {
13    const { page, request, log } = context;
14    const title = await page.title();
15    log.info(`URL: ${request.url} TITLE: ${title}`);
16    return {
17        url: request.url,
18        title
19    };
20}""",
21    "proxyConfiguration": { "useApifyProxy": False },
22    "customData": {},
23    "initialCookies": [],
24    "preGotoFunction": """async function preGotoFunction({ request, page, Apify }) {
25    /* add your pre-navigation logic here, if needed */
26}""",
27}
28
29# Run the Actor and wait for it to finish
30run = client.actor("apify/puppeteer-scraper").call(run_input=run_input)
31
32# Fetch and print Actor results from the run's dataset (if there are any)
33print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
34for item in client.dataset(run["defaultDatasetId"]).iterate_items():
35    print(item)
36
37# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Puppeteer Scraper API in Python

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

Install the apify-client