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Web Scraping Best Practices for RPA Integration

The new era of RPA- a shift from manual hard work to automated smart work in business. 

Web-Scraping-and-RPA-Integration

RPA is the process of automating routine and repetitive tasks in business operations. Robotic Process Automation uses technology that is steered by business logic and structured inputs.

People might mistake it for a robot doing their mundane jobs but in reality, it is simply an automation software tool that replicates human interaction with a computer system. 

The global sales of robotic process automation software exceeded $2 billion in 2021. It is expected that this market has the potential to grow nearly sixfold to almost 19 billion U.S. dollars in 2030.

Now coming to our next big player in the digital age- Web Scraping. Web scraping is the process of extracting data from multiple sources on the web in a structured manner. With the explosion of internet users and the world of online data, businesses need these vast amounts of information to gather insights.

Industries such as e-commerce, fintech, travel, cyber security, academic research, and marketing & advertising, leverage data extraction tools, or services for different purposes. For instance, e-tailers utilize data from the web for price monitoring, analyzing customer reviews, and adjusting marketing strategies in real-time. 

We have already discussed web scraping & RPA in our previous blog, so this blog will familiarize you with the best practices for web scraping in RPA integration. 

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The Synergy of Web Scraping and RPA

RPA can be a game changer in the web scraping industry. When human resources are used for laborious work that requires little to no decision-making such as data entry, making invoices, and receipts, RPA can save the day by automating such repetitive tasks. 

For instance, administrative tasks like canceling airline tickets for passengers and giving reimbursements. They can be way easier, faster, and more convenient for both passengers and employees. This is achievable if the RPA-integrated system handles them online.

Learn more about how web scraping & RPA work together here: 

Along the same lines, you can achieve unmatched efficiency once you automate the data extraction process.  

Here are the benefits of RPA for web scraping:

  1. Structured Data Extraction: RPA provides the guarantee of high accuracy and consistency in structured data extraction. The bots can locate the precise data fields on the web page that need to be extracted. It does it without going through the risk of errors that are inevitable to occur in the manual web scraping process. Also, it enables scalable and flexible environments to adapt to changing requirements and volumes.
  2. Optimized Resource Utilization: In web scraping, RPA optimizes resource use by reducing the dependency on manual labor for extraction projects. You can save your cost by automating the data collection process by lowering the operational expenses of human resources. 
  3. Dynamic Website Navigation: The main benefit of using RPA-integrated web scraping is that it can smoothly navigate dynamic websites that frequently ask for user interaction. Those interactions are clicking on the next button, logging in to the website, scrolling, and filling out forms. RPA’s capability enables efficient web scraping that saves time, effort, and resources along with the reliability of the data quality.  
Benefits-of-RPA-for-web-scraping

Best Practices of Web Scraping with RPA Integration

There are best practices of web scraping along with the integration of robotic process automation that you must know before starting. 

  1. Ensure compliance with legal and ethical guidelines. Before initiating the web scraping process, you must adhere to the legal and ethical guidelines. This means following the website’s terms of service to not disrupt the server. Similarly, respecting data privacy regulations and other copyright laws. Especially, the major consideration you have to make is that when scraping, you can only scrape the publicly available data. Those that don’t contain any personal information of users.
  2. Implement robust mechanisms to handle errors. This ensures that the scraping workflow with RPA integration is resilient while encountering issues like website changes, network interruptions, or extraction of unusual data formats. You should adopt techniques such as retry mechanisms and error logging that help handle challenging requests and prevent data loss. Consequently, when issues arrive, you must always notify the administrators and project leaders for timely resolution. 
  3. Optimize crawlers or web scraping scripts for efficiency and scalability. It is essential to have scripts that are efficient and scalable so that they can endure huge amounts of data and changes in website structure. Optimizing crawlers is the way to minimize resource usage and lower the load impact on target websites. Thus, one of the best practices of RPA-integrated web scraping is regularly reviewing and updating data extraction scripts to stay updated with evolving requirements with efficiency. 
  4. Security and regular maintenance of web scraping workflows. As already mentioned before, the cornerstone of automated web scraping is data security. It involves that you adhere to ensuring the confidentiality and integrity of extracted information. You must use secure protocols like HTTPS for web data transmission and storage. Additionally, to identify any occurrence of anomalies in data, you should monitor scraping performance metrics like response time, success rate, and quality assurance of data that you have gathered. 

Hence, to maximize the benefits of RPA-integrated web scraping and ensure smooth operations, it’s crucial to adhere to these best practices.

End Note

As you already know, web scraping and RPA are the oars of your boat to reach the treasure island of valuable data. Thus, from it, you derive business insights for decision-making.

In the end, all we can say is the fusion of Robotic Process Automation (RPA) with web scraping presents a transformative opportunity for data-driven businesses. Then, by following the practices, your organization can streamline the ongoing workflows. Attain the best outcomes while the risk and challenged and tackled seamlessly. 

In the ever-evolving landscape of data acquisition, these best practices serve as guiding principles, leading toward innovation, efficiency, and success. Henceforth, empower your business to navigate through the complexities of web scraping by unlocking the unprecedented benefits of automation. 

Now, Get in touch with Grepsr, send your data project requirements, and sail your way to data-driven success! 

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A collection of articles, announcements and updates from Grepsr

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Our Newly Redesigned Website is Live!

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Report History/Activity on the Grepsr App

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New policy announcement

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Data Delivery via Email

Have your Grepsr files automatically delivered by email

Data Delivery via Dropbox

Have your Grepsr files synced automatically to your Dropbox

Data Delivery via FTP

Have your Grepsr files synced automatically to your FTP/SFTP server

Data Delivery via Webhooks

Get notified as soon as your Grepsr data is ready

Data Delivery via Google Drive

Have your Grepsr files synced automatically to your Google Drive

Data Delivery via Amazon S3

Have your Grepsr files synced automatically to your Amazon S3 bucket

Data Delivery via Box

Have your Grepsr files synced automatically to your Box account

Data Delivery via File Feed

Under File Feed, there are two URLs — marked ‘Latest’ and ‘All’. Here’s a brief demo:

Customized Data Extraction via Grepsr Concierge

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Common Issues and Tips to Get the Best out of Grepsr

We know how annoying it is when you’ve spent time setting up Grepsr for Chrome to collect your data fields, and then you get back partial or no data at all.

Grepsr — the Numbers That Matter

Our stats since the start of 2018

Feeds & Endpoint API for Your Data in Grepsr

In our last post, we showed you how to automate your data delivery process in the Grepsr app. This time let’s have a quick look at data feeds and endpoints[*]. Your scraped data’s Endpoint API is the final stop it makes in its journey— starting from the host website, then to your Grepsr account via our crawler, and […]

Automate Your Data Delivery on the Grepsr App

I’m sure you’ve already got the hang of Grepsr for Chrome by now. If you’re like some of our users who are inquiring about data delivery on the app, then this blog is for you! Once you’ve set up your project and the app starts to extract your data, depending on the volume of data requested, it might […]

Kick-Start Your E-commerce Venture with Grepsr

400+ million entrepreneurs worldwide are attempting to start 300+ million companies, according to the Global Entrepreneurship Monitor. Approximately a hundred million new businesses start every year around the world, while a similar number also fold. What sets successful firms apart are the innovations and resources they utilize that help them stay healthy and relevant. Grepsr […]

How to Use Grepsr Browser Tool to Scrape the Web for Free

A beginner’s guide to your favorite DIY web scraping tool Just over a year ago, we introduced the all new Grepsr along with a beta launch of Chrome extension to fill the gap that Kimono Labs, a widely popular scraping tool, left since it’s closure. Now after a year of iteration on both the UI and UX along with shipping […]

Our Kimono Labs Replacement (Grepsr for Chrome) Levels Up

We’ve recently made a number of improvements to make Grepsr for Chrome that little bit easier, and more handy to use. We’ve also received tons of feature requests (keep ’em coming!), so we thought we’d share couple of our favorites that have most recently made it into Grepsr for Chrome. Infinite Scrolling and Enhanced Pagination Support From […]

Importance of Web Scraping in the Age of Big Data

Big Data has become an internet buzz lately. Not a day goes by without a mention of Big Data in many articles published by media or tech companies around the world.

Data Extraction for BI: Picking the Right Services is Crucial

Finding the appropriate data warehousing and Business Intelligence (BI) platforms that can understand and address your business concerns, priorities, and needs is a daunting task. Specifically, the ones that can have cohesive approaches in generating and deploying your data

Web Crawling Software or Web Crawling Service

Some people ask us if we are a “service” or a “software”. We simply tell them – we are a service, with killer software that runs behind the scenes! 🙂 Also, lot of our customers ask us, why go for a Web Crawling Service over a Web Crawling Software? The answer is pretty straight forward. […]

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