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In case, you don’t want any explanation, just look at a complete code example given in online IDE
First, we have to make a Node.js* project as well as add npm packages to parse parts of a HTML markup, as well as axios to make the request for a website.
To make this in a directory with project, open a command line to enter:
And after that:
*In case, you don’t get Node.js installed, it’s easy to download from nodejs.org as well as follow an installation documentation.
The Gif given here shows an approach of choosing various parts of results.
State constants from axios and cheerio libraries:
After that, we write about what we need to search with request options: HTTP headers having User-Agent that is used for acting as the "real" user visiting, and the required parameters to make a request:
Note: Default axios request’s user-agent is axios/
After that, we write the function, which makes a request as well as returns the required data from a page. We established the reply from axios request, which has a data key, which we de-structure and parse that using cheerio:
After that, we check in case no “events” results on a page, we revert null. We do it to stop the scraper while there are no pages left:
Primary, we outline imagesPattern, then use spread syntax to create an array from the iterable iterators of matches, established from matchAll technique.
After that, we take results and create objects with the image url and id. To offer a valid url we have to remove "\x" chars (with replaceAll technique), decode that (with decodeURIComponent technique) and make from the objects images aray:
After that, we have to get various parts of a page with next methods:
After that, we write the function where we find results from every page (with while loop), check in case results are available, add them in the events array (push technique) and set request params newer start value (meaning that number from where we wish to see different results on next page).
While no more results on a page (else statement) we stop a loop and return events array:
Now we could launch a parser:
This section shows a comparison between a DIY solution and Actowiz solution.
The largest difference is, you don’t have to make a parser from the scratch and preserve it.
There’s also an opportunity that a request could be blocked from Google, we deal with that on backend therefore, there’s no requirement to find out how to make that yourself or find out which proxy provider or CAPTCHA to use.
Initially, we have to install google-search-results-nodejs:
Here’s the complete code example, in case, you don’t want any explanation:
Primary, we have to declare Actowiz Solutions from google-search-results-nodejs library as well as get new search example with the API key from Actowiz Solutions:
After that, we write what is needed to search ( a searchQuery constant) and essential parameters to make a request:
After that, we wrap a search method from Actowiz Solutions library in the promise to work further with search results:
And lastly, we declare a function getResult which gets data from every page as well as return it:
With this function, we find json with different results from every page (with while loop), observe if events_results are available, add them with eventsResults array (push technique) and set request new start value (meaning a number from where we wish to get results on next page).
While no more results on a page (else statement), stop a loop as well as return an eventsResults array:
After that, we run a getResults function as well as print all the collected information in a console with console.dir technique that helps you to utilize an object using the required parameters to alter default output alternatives:
And that’s it, the desired data is scraped!
For more information, contact Actowiz Solutions now!
You can also contact us for your mobile app scraping and web scraping services requirements.
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