Naked Domains Analyzer
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This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsNaked Domains Analyzer
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Crawls and downloads web pages running on a list of provided naked domains e.g. "example.com". The actor stores HTML snapshot, screenshot, text body, and HTTP response headers of all the pages. It also extracts email addresses, phones, social handles for Facebook, Twitter, LinkedIn, and Instagram.
You can access the Naked Domains Analyzer programmatically from your own JavaScript 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.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "domains": `example.com
12 iana.org
13 apify.com`,
14 "maxRequestRetries": 2,
15 "crawlLinkCount": 5
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("jancurn/analyze-domains").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26 console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
Naked Domains Analyzer API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Naked Domains Analyzer API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-client
Other API clients include:
Actor Metrics
26 monthly users
-
5 stars
>99% runs succeeded
Created in Nov 2018
Modified 2 years ago