DataDome Web Scraper
Pricing
Pay per usage
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.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
ecomscrape
Maintained by CommunityActor stats
0
Bookmarked
60
Total users
1
Monthly active users
20 days ago
Last modified
Categories
Share
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 API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_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 finish20run = 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")24for item in client.dataset(run.default_dataset_id).iterate_items():25 print(item)26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe 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-clientOther API clients include: