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DataDome Web Scraper

Pricing

$20.00/month + usage

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DataDome Web Scraper

DataDome Web Scraper

Developed by

ecomscrape

ecomscrape

Maintained by Community

DataDome Web Scraper extracts data from DataDome-protected websites. You can customize parameters such as proxies, timeouts, and JavaScript execution, making it ideal for reports, spreadsheets, and applications.

0.0 (0)

Pricing

$20.00/month + usage

0

Total users

8

Monthly users

3

Runs succeeded

>99%

Last modified

4 months ago

You can access the DataDome Web 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.

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 "urls": ["https://www.etsy.com/market/top_sellers?ref=pagination&page=3"],
10 "js_script": "return 10 + 10 + 20",
11 "page_is_loaded_before_running_script": True,
12 "execute_js_async": False,
13 "retrieve_html_from_url_after_loaded": True,
14 "js_timeout": 10,
15 "max_retries_per_url": 2,
16 "proxy": { "useApifyProxy": False },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("ecomscrape/datadome-web-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25 print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

DataDome Web Scraper API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include: