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When companies need data from the Internet, they don’t always need a full browser or a clever script to collect information. Often everything is simpler: you need to open the page, take the HTML code, pull out the main thing and make it look convenient. That’s what the HTML and Content Extraction API is for.
It helps to get the page code from the link, select the most important and prepare for further work. In fact, the url to html api solves a simple task: it turns the link into a clear HTML response. This is good when you need to set up your own content processing, analytics, or search engine.
But HTML alone is not enough. On websites, useful things are mixed with ads, menus, and all sorts of technical text. Therefore, along with the html extraction api, you also need content extraction — to pull out not the entire page, but only what it is being opened for: an article, a product, a table, a list, or the necessary details.
That’s what an API is for, which takes over the technical work and provides the data in a convenient way.
It’s simple: you provide a link, and it returns the HTML code. This is a simple but important way to access web data.
First, the url to html api requests the specified page. Then it gets its HTML, checks it, and returns the result. If you just need to download the code, that’s enough. However, companies often use the html extraction api to not just download HTML, but extract the necessary data.
After receiving the HTML, the parsing of the page begins. Here, the service selects headings, text, tables, links, pictures, descriptions, and other parts. If the API can work with structured data (structured data extraction api), then you can get not just HTML, but ready-made fields.
This is especially important for development teams and analysts. They don’t need the entire page code — they need data that can be added to the database, sent to a report, or used for automation.
The HTML extraction api is needed when the content of the site is more important than the page itself. This is often the case in news, stores, SEO, analytics, and wherever data is collected from different sources.
For example, if you need to receive articles, product descriptions, information about companies or publications from websites, then a simple request gives too much extra: menus, basement, banners, links. Content extraction helps to separate the main thing from everything else.
Another option is to prepare data for other systems. If a company makes a search engine, recommendation system, knowledge base, or machine learning system, it needs clean and understandable data. In such cases, the structured data extraction api helps to extract information in the form of fields, rather than an HTML document.
This API also helps:
At first glance, it seems that HTML is enough and you can process everything yourself. But it only works for simple tasks. If you need more data, you need a more accurate result.
First of all, HTML almost always has something superfluous. Secondly, websites are designed in different ways, and it is difficult to maintain parsers for each page. Thirdly, if data is needed all the time, it is important that it comes in one form.
That’s why content extraction becomes a separate task. Instead of working with a raw page, the team immediately gets the main text, document structure, or specific fields. This speeds up analysis, simplifies integration, and reduces errors.
If the task is even more complicated — for example, you need to extract names, prices, descriptions, dates, authors, or other entities — then the structured data extraction api is already enabled. This approach is especially useful when the data must immediately enter a BI system, CRM, search index, or analytical database.
The most important thing is to save time. You don’t need to manually process HTML and write code for each site, the API does it itself.
Secondly, the result is understandable. Data extracted through the structured data extraction api is easy to reuse. The fields are the same, which means there is less manual work.
Third, you can work with a lot of data. If there are many sources, processing HTML pages becomes a problem. The API allows you to process many links and get the finished result immediately.
Finally, the html extraction api separates the technical task from the business task. The team does not waste time on parsers, but is engaged in data analysis and product creation.
This API is useful for teams that work with web pages as data.
For example:
If you need to take a link, get HTML, extract the main thing and use it further, url to html api and html extraction api are a good solution.
Only pay for successful data extraction — no surprises, no hidden fees.
Define target URL and connect to the API with a single line of code
Edit crawl parameters and insert your custom logic using Python or JavaScript
Retrieve website data as Markdown, Text, HTML, or JSON files
fetch('https://api.webunlocker.scalehat.link/tasks/', {
method: 'POST',
headers: {'X-API-Key': 'YOUR_API_KEY'}, 'Content-Type': 'application/json'},
body: JSON.stringify({url: 'https://example.com'})
});
requests.post(
'https://api.webunlocker.scalehat.link/tasks/',
headers={'X-API-Key': 'YOUR_API_KEY'}, 'Content-Type': 'application/json'},
json={'url': 'https://example.com'}
)
curl -X POST https://api.webunlocker.scalehat.link/tasks/ \
-H "X-API-Key: $API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com"}'
The HTML API is a tool to get the HTML code of a page and use it in other systems.
The URL API is a service that accepts a link and returns information from a page, such as HTML or content.
To do this, use the url to html api: you send a link, and the service returns the HTML code of the page.
To do this, use the structured data extraction api, which analyzes the page and returns data in the form of fields or JSON.