me

Databar.ai

Resources
👋
Schedule a call
API Network
Get started free
Go back to blog

How to scrape with no technical knowledge with Databar’s simple scraper

simple scraper

Blog
me

by Databar

In the digital age, accessing and analyzing data is paramount for informed decision-making, market research, and maintaining a competitive edge. However, the process of web scraping, traditionally a complex and technical task, has now been revolutionized by Databar's Simple Scraper. In this blog post, we'll explore the significance of web scraping, understand why Databar stands out, and guide you through the effortless process of using the Databar simple scraper via our Chrome extension.

Why Web Scraping Matters

Web scraping involves extracting data from websites, a crucial activity for businesses seeking valuable insights. From product details to financial statistics, the ability to collect and organize data from the web is a game-changer in the modern business landscape. However, the technical barriers associated with traditional web scraping tools often hinder those without coding expertise.

Databar: Simplifying Web Scraping for Everyone

The Databar Chrome extension introduces a simple web scraper that caters to users with no technical knowledge. This powerful tool democratizes data collection, making it accessible to a broader audience. Now, users of all technical backgrounds can extract desired information from online sources with ease.

How to Use Databar's Simple Scraper

The process is straightforward and user-friendly, requiring just a few simple steps:

Install the Databar Google Chrome extension: Begin by adding the extension to your Chrome browser by downloading it here.

Initiate a New Job: Click on the Databar logo on the top right corner of your desktop, and select "Scrape this page" to start the scraping process. In this example, we are scraping data from the Y Combinator's list of top companies by valuation.

Add Columns and Values: Use the "New column" button and select the data you want to scrape from the webpage. In this example, we will be using the Company name as our first dataset - notice how all the other company names automatically highlighted.

We will now be adding the company ranking as our 2nd dataset, the company domain. You can also rename the Columns if needed.

Save and View Results: Save your selections and click "View results" to complete the scraping process. Click "Send to Databar" to begin modeling and enriching your data!

With Databar's Chrome Extension scraper, scrolling through countless pages of data is a problem of the past. Our simple scraper completely streamlines this process, ensuring that you can gather extensive data across multiple pages, effortlessly.

About Databar

Databar is a no-code API connector that can gather and enrich data in real time through a spreadsheet UI. The site currently has a rich library of APIs which allow you to gather competitive intelligence, fuel your marketing operations, and conduct research using real-time data, including SocialScrape. For more information, please visit databar.ai

Related articles

GTM AI: How Smart Teams Are Using AI to 10x Their Go-to-Market Results
GTM AI: How Smart Teams Are Using AI to 10x Their Go-to-Market Results

How AI Is Helping Sales Teams Close More Deals, Faster

avatar

by Jan, July 08, 2025

N8N vs Zapier for GTM Automation: Which Saves More Time?
N8N vs Zapier for GTM Automation: Which Saves More Time?

Finding the Right Automation Tool for Your GTM Team: N8N vs Zapier

avatar

by Jan, July 08, 2025

RevOps vs GTM Engineering: Which Role Should You Choose?
RevOps vs GTM Engineering: Which Role Should You Choose?

Finding the Right Fit: Strategic RevOps or Technical GTM Engineering?

avatar

by Jan, July 08, 2025

From SDR to GTM Engineer: Complete Career Transition Roadmap
From SDR to GTM Engineer: Complete Career Transition Roadmap

A Step-by-Step Guide for SDRs Ready to Become GTM Engineers

avatar

by Jan, July 08, 2025