Naked Domains Analyzer

Naked Domains Analyzer

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.

DEVELOPER_TOOLSOPEN_SOURCEApify

The actor performs a crawl of web pages from a provided list of naked domain names using headless Chrome. For each web page visited, the crawler extracts and saves the following information:

  • Page data:
    • Page title
    • List of all links
    • JSON+LD linked data
  • Social handles
    • Emails
    • Phone numbers
    • Facebook profiles
    • LinkedIn profiles
    • Twitter profiles
    • Instagram profiles
  • Screenshot (if saveScreenshot setting is true). The screenshots are stored in JPEG format to save disk space. Note that taking screenshots is quite resource intensive and will slow your crawler down.
  • HTML content (if saveHtml setting is true)
  • Text body of the page (if saveText setting is true)
  • HTTP response headers
  • Information about SSL/TLS certificate

For each domain (e.g. example.com) from the input, the actor tries to load the following pages:

  • http://example.com
  • https://example.com (only if crawlHttpsVersion setting is true)
  • http://www.example.com (only if crawlWwwSubdomain setting is true)
  • https://www.example.com (only if both crawlHttpsVersion and crawlWwwSubdomain settings are true)

Additionally, if the crawlLinkCount setting is greater than zero, for each domain the crawler tries to open crawlLinkCount pages linked from the main page and analyze them too. The crawler prefers the links that contains the /contact text, to increase the chance it will find more emails, phone numbers and other social handles.

The results of the crawler are stored into a dataset. For each web page crawled there is one record. The optional screenshots and HTML snapshots of web pages are stored into separate records into the key-value store.

For example, for the web page https://example.com the resulting record in the dataset will look as follows (in JSON format):

1{
2  "domain": "example.com",
3  "url": "http://example.com",
4  "response": {
5    "url": "http://example.com/",
6    "status": 200,
7    "remoteAddress": {
8      "ip": "93.184.216.34",
9      "port": 80
10    },
11    "headers": {
12      "content-encoding": "gzip",
13      "cache-control": "max-age=604800",
14      "content-type": "text/html; charset=UTF-8",
15      "date": "Sat, 24 Nov 2018 22:04:40 GMT",
16      "etag": "\"1541025663+gzip\"",
17      "expires": "Sat, 01 Dec 2018 22:04:40 GMT",
18      "last-modified": "Fri, 09 Aug 2013 23:54:35 GMT",
19      "server": "ECS (dca/24D5)",
20      "vary": "Accept-Encoding",
21      "x-cache": "HIT",
22      "content-length": "606"
23    },
24    "securityDetails": null
25  },
26  "page": {
27    "title": "Example Domain",
28    "linkUrls": [
29      "http://www.iana.org/domains/example"
30    ],
31    "linkedDataObjects": []
32  },
33  "social": {
34    "emails": [],
35    "phones": [],
36    "phonesUncertain": [],
37    "linkedIns": [],
38    "twitters": [],
39    "instagrams": [],
40    "facebooks": []
41  },
42  "screenshot": {
43    "url": "https://api.apify.com/v2/key-value-stores/<actor_run_id>/records/screenshot-example.com-00.jpg",
44    "length": 18572
45  },
46  "html": {
47    "url": "https://api.apify.com/v2/key-value-stores/<actor_run_id>/records/content-example.com-00.html",
48    "length": 1262
49  },
50  "text": " EXAMPLE DOMAIN\nThis domain is established to be used for illustrative examples in documents.\nYou may use this domain in examples without prior coordination or asking for\npermission.\n\nMore information..."
51}

If the web page cannot be loaded for any reason, the record contains the information about the error:

1{
2  "domain": "non-existent-domain.net",
3  "url": "http://non-existent-domain.net",
4  "errorMessage": "Error: net::ERR_NAME_NOT_RESOLVED at http://non-existent-domain.net\n    at navigate (/Users/jan/Projects/actor-analyze-domains/node_modules/puppeteer/lib/FrameManager.js:103:37)\n    at <anonymous>\n    at process._tickCallback (internal/process/next_tick.js:189:7)\n  -- ASYNC --\n    at Frame.<anonymous> (/Users/jan/Projects/actor-analyse-domains/node_modules/puppeteer/lib/helper.js:144:27)\n    at Page.goto (/Users/jan/Projects/actor-analyse-domains/node_modules/puppeteer/lib/Page.js:587:49)\n    at Page.<anonymous> (/Users/jan/Projects/actor-analyse-domains/node_modules/puppeteer/lib/helper.js:145:23)\n    at PuppeteerCrawler.gotoFunction (/Users/jan/Projects/actor-analyse-domains/node_modules/apify/build/puppeteer_crawler.js:30:53)\n    at PuppeteerCrawler._handleRequestFunction (/Users/jan/Projects/actor-analyse-domains/node_modules/apify/build/puppeteer_crawler.js:322:48)\n    at <anonymous>\n    at process._tickCallback (internal/process/next_tick.js:189:7)"
5}

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!