We route HTTP requests via a worldwide proxy network according to specified target geolocation.
Server-side rendering (SSR) is a technique when the whole document is generated totally on the server. Whenever a request comes, the server first generates the entire document and returns its content to the client. The browser in the client machine simply displays that document, without any further rendering.
"Base Fetcher" is suitable for processing server-side rendered pages where the HTML in the HTTP response contains all content.
Crawling a URL with "Base fetcher" takes fewer resources and works faster than rendering HTML with "Chrome fetcher."
Requesting static HTML pages is always cheaper ...
applications. They consist of HTML + JS code. HTML initially does not contain all the actual
So scraping such HTML pages 'as is' is useless for most cases.
The headless Chrome browser is used by "Chrome fetcher" to render dynamic content and return it as a static HTML. It renders websites in the same way as a real browser would do it.
Doing actions helps you to become closer to the desired data.
Actions are performed by scraper upon visiting a Web page. It simulates real-world human interaction with the page.
You can use DFK API for executing simple actions after rendering a web page:
|Specify Input CSS Selector and Input Text to perform search queries, or fill forms.|
|Click on an element with the specified CSS Selector.|
|Wait for the specific DOM elements you want to manipulate.|
|Automatically scroll a page down to load more content, simulating user interaction with infinite scrolled pages.|
Let machines do the grunt work and let humans do what they do best.
Proxy scraper online service from Dataflow kit is useful to get around content download restrictions from specific websites.
Choose the one from 100+ supported global locations to send your html scraping API requests.
Or select "country-any" to use random geo-targets.
Just send an API request specifying the desired web page and parameters.
Easily integrate DFK API with your applications using your favorite framework or language.
Store from a few records to a few hundred million, with the same low latency and high reliability in our S3 compatible storage.
And besides, you can easily upload your data to the following cloud storages:
The next step obviously after scraping a webpage is to extract specific data from rendered HTML.
Depending on a website, it may be a separate HTML element like an image, text, link. Or for example, e-commerce sites list several products on a page as blocks of data grouped by some patterns.
Another web scraping task would be extracting your prospect's email, phone contacts from web pages for lead generation.
For automating such kind of tasks, we offer visual point-&-click web scraper.