While scraping data, you might face some painful things like data extraction tasks being interrupted in some circumstances. For example, some scrapers require your computer to stay in waking mode during processing, but your computer shuts down suddenly because of unexpected reasons. Cloud data extraction is here to solve such problems. In this post, we’ll dive into cloud web scraping and find out how Octoparse cloud extraction makes collecting data more steady and effortless.
What is Cloud Data Extraction
As the name suggests, cloud data extraction means data scraping tasks running in the cloud. It’s the process of extracting and storing data from various sources in a cloud environment for further processing, analysis, or storage. Cloud data extraction offers several advantages over traditional local extraction methods, including scalability, flexibility, and cost-effectiveness. Companies now leverage cloud-based tools and services to automate data extraction processes and handle large volumes of data.
For example, while using cloud extraction to scrape data, you need to configure a rule and upload it to the cloud platform and then your task will be assigned to one or several cloud servers to extract data simultaneously via central control commands. If your task is divided into three parts and distributed evenly across three cloud servers, it will take only one-third of the original time compared to running it on your device.
Cloud Web Scrapers vs. Local Web Scrapers
Cloud-based scrapers and local scrapers represent two distinct approaches to web scraping. While choosing an option between them, companies might weigh factors like speed, scalability, reliability, maintenance, cost, etc., to determine the most suitable approach for their web scraping requirements. Here are some key differences between cloud web scrapers and local web scrapers.
| Cloud-based | Local-based | |
| Speed | faster for large-scale scraping tasks | Might be slower for extensive scraping operations, especially when dealing with high volumes of data |
| Scalability | Scale up or down based on the volume of data to be scraped | Limited by the computing power and resources available on the local machine |
| Reliability | More reliable due to the robust infrastructure and redundancy measures offered by service providers | May face interruptions due to network issues, machine failures, or other local constraints |
| Maintenance | Require minimal maintenance as the cloud provider handles infrastructure management, updates, and backups | Need more hands-on maintenance, including updating scripts, monitoring performance, and managing local resources |
| Cost | May incur costs based on usage, but they eliminate the need for upfront hardware investments and can be cost-effective for large-scale scraping operations | Generally more cost-effective for smaller-scale scraping tasks as they do not involve additional cloud service expenses |
| Control | Offer less control over the underlying infrastructure than local scrapers, limiting customization options | Provide more control over the scraping process, enabling users to fine-tune scraping scripts and adapt to specific website structures |
What is Octoparse Cloud Extraction Mode
So far, we’ve known the strength of cloud-based web scraping. Octoparse also offers a powerful cloud platform that allows users to run their tasks 24/7. While running tasks using Octoparse cloud servers, you can speed up scraping, avoid being blocked with a huge number of addresses, and link your system and Octoparse closely with API.
Extract data without any pauses and time limit
While using the Octoparse cloud service to pull data from websites, no concern for errors like occasional network interruptions or the computer being frozen anymore. When such errors occur, cloud servers can still resume their work immediately. Meanwhile, if you need to extract data at a specified time or update your data following a routine, you can schedule a cloud extraction task via Octoparse.
Set concurrent tasks to speed up the extraction process
As mentioned above, cloud platforms allow you to divide a scraping task into several sections and assign them to multiple servers to extract data at the same time. Octoparse Cloud mode now provides up to 20 nodes for paid plans. While extracting data with the Octoparse cloud platform, Octoparse will try to split up your task into smaller sub-tasks and run each sub-task on a separate cloud node for faster data extraction. The cloud nodes can run tasks 24/7 and reach up to 4-20 times faster than local extraction.
Avoid being blocked by IP rotation
If you’re experienced in web scraping, you might have been blocked by websites while scraping data. Being blocked is a common problem for scrapers, because many websites may have high-security measures to recognize and block web scrapers. To solve this problem, the Octoparse cloud service provides thousands of cloud nodes, each with a unique IP address, for IP rotation. So your requests can be performed on the target website through various IPs, which will minimize your chances of being traced and blocked by the target website.
Link Octoparse and your system via API
Octoparse cloud service also provides you API to link your system or other tools and Octoparse closely, so you can export scraped data into your database directly rather than spending time exporting data files to your devices first. For example, you can export extracted data to Google Sheets via Octoparse API. Or if your team has coding experience and needs to automate the process to export data or control tasks, you can connect to Octoparse APIs with Postman.
Wrap Up
Cloud-based web scraping is the solution to simplify your data extraction process. Compared with the local-based solution, it’s more effective and can help you address common problems like being blocked and CAPTCHA. Try Octoparse now, let cloud servers bring your web scraping journey to the next level!
