Table of Contents

Introduction What is Cloud Extraction What is Local Extraction Highlighting the Difference Between Cloud and Local Extraction Local vs Cloud Data Extraction FAQ What is a cloud web crawler? What is the difference between cloud and local crawl and data extraction? Summing It Up

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Cloud Data Extraction vs Local Data Extraction

Cloud Extraction vs Local Extraction: Professional using laptop with cloud computing icons and data security symbols

Introduction

With the rising popularity of web scraping, the tools and technologies are getting more and more efficient and user-friendly. Data scraping service providers strive to offer the best scraping services and technologies. You do not worry about costly hardware maintenance, do not face network interruptions, and can access extracted data anytime.Yes, we are talking about cloud data extraction. Let’s compare the two types of data extraction on the local vs cloud server and learn the difference to choose the preferable option.

What is Cloud Extraction

Cloud extraction is the possibility to access, extract, and analyze data stored on cloud servers.

cloud data extraction

When you are practicing cloud extraction, the crawlers run in the cloud using multiple servers with automatically rotated IPs which protect you from being blacklisted by the websites. As well, you do not use local hardware and are independent of OS. Data stored on cloud servers can be accessed anytime from anywhere.

What is Local Extraction

Local extraction means running the crawler on your local machine. While practicing local extraction, you do not need cloud resources, and you may troubleshoot any workflow issues on time. In this case, if you are performing one scraping task, the local extraction will be faster than cloud extraction. But if you split your task into sub-tasks, it will be faster on the cloud server, as that time your task will be divided between several cloud servers, and this approach speeds up the extraction process.

Highlighting the Difference Between Cloud and Local Extraction

To summarize the difference between cloud and local extraction, let’s review the following table:

Cloud ExtractionLocal Extraction
Crawlers run on cloud serversCrawlers run on local servers
The security risk is higherBetter data security
No high-priced hardware maintenanceIn-house servers are more costly to set up and maintain
Tasks can be scheduled according to your requirementsAbility to see and control the crawling process
Automatically rotated IPs protect you from being blockedThe chances of being blocked are higher
Complex websites usually cause difficulties for cloud extractionNo restrictions for scraping complex websites
The possibility to run multiple subtasks simultaneously makes the extraction fasterLocal network speed or hardware configuration may affect the scraping

Local vs Cloud Data Extraction FAQ

What is a cloud web crawler?

Cloud web crawlers are programs that run on cloud servers. They aim to extract data from websites and store and organize it. Cloud online crawlers are usually third-party tools offering their services as packs of subscriptions. Examples are Octoparse, Jetoctopus, Netpeak Spider, etc.

What is the difference between cloud and local crawl and data extraction?

In contrast to cloud data extraction, local crawlers run their asks on local servers. Those are custom tools that require an in-house development team and regular maintenance. However, it does not have so many restrictions and is cheaper in the long-term perspective.

Summing It Up

At DataOx we are always happy to help you with advice on which options will be suitable for you based on your business needs. Schedule a free consultation with our expert and find out how web scraping can help your business grow regardless of the server type.

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You receive a clear proposal with timeline, budget, and delivery format.

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Have a question? Ask away

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Let's find the best solution for your data needs.

    get a free consultation

    Fill out the form — we'll get back to you with options tailored to your needs.

    what happens next

    We review your goals and get in touch to clarify scope

    Your privacy is a priority — NDA available upon request.

    You receive a clear proposal with timeline, budget, and delivery format.

    Once approved, we start building your data pipeline.

    Most projects launch within up to 10 business days.

    Have a question? Ask away

    contact us

    Let's find the best solution for your data needs.