
The term typically refers to an automated process that is created with intention to extract data using a bot or a web crawler. Sometimes you can find it referred to as web harvesting as well. The process of extracting data from websites is called web scraping. However, it is not that complicated to comprehend the entire process.
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If you are a not-that-tech-savvy person, understanding how to extract data can seem like a very complex and incomprehensible matter. For this reason, in this article, we shall go through how web data extraction works, its main challenges, and introduce you to several solutions that can help you as you go further up the data scraping path. However, this is not one of those processes that you can implement in your day to day operations before getting informed.

It has become common for various companies to extract data for their business purposes. Fortunately, there is a lot of public data stored on servers across websites that can help businesses to stay sharp in the competitive market. To fuel these decisions, companies track, monitor, and record relevant data 24/7.


Send to webhook URL? Yes, you can send to a webhook then trigger on that in a Zap. Zapier integration? As of the writing of this article, I don’t see one.
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Download instantly, scrape in the cloud, or create an API

Airtable is coming soon, according to their website.Īccording to them: Extract data from any website in seconds. You can choose minutes, hours, days, weeks, months.ĭirect integrations? You can sync the extracted data to Google Sheets (and you can trigger a Zap on those newly added rows, if you’d like). Send to webhook URL? Yes, but it’s raw data and isn’t super easy to work with in Zapier. Zapier integration? As of the writing of this article, it’s in the works. The options I’m discussing below are the ones that make it the easiest to do (in my opinion), and relatively affordably for the average person.Īccording to them: The easiest way to extract and monitor data from any website. Before I start, I first want to say that there are LOTS of ways to scrape data from websites.
