- #Octoparse performance how to
- #Octoparse performance software
- #Octoparse performance code
- #Octoparse performance professional
Octoparse enables you to control the number of tasks being run in parallel. Solution A: Don’t start too many tasks in the cloud concurrently. In this case, task 3 will wait for the cloud servers in the executing queue with 0% progress. For example, let’s say that you have 10 cloud servers, and the task 1 uses 4 cloud servers, then the remaining 6 cloud servers will be used by task 2 which would use 6 cloud servers. Generally, the task 1 will be executed firstly. If you start many tasks in the cloud concurrently for only once, like task 1, task 2, task 3, orderly, Octoparse will first split the task 1 into many sub-tasks, allocate cloud servers to these sub-tasks and these cloud servers will scrape the data then deal with task 2 and task 3 orderly in the same way.
#Octoparse performance professional
Reason 3. The Professional subscription plan provides 10 cloud servers for you to run your tasks in the cloud while Standard subscription plan has 4 cloud servers. So if the task cannot be split, it would be better to run the scraping task in your machine by using Local Extraction. Besides, your internet environment is brilliant and is much better than a cloud server. Your machine works better than our cloud server. Reason 2. Your machine performs better than one cloud server. For example, you can split the task by using Loop (URL list) to extract the data if the pages URLs are similar, except the page number.Ĭheck out this tutorial to create a task using Loop (URL List). Check your rule of the task and see if you can re-configure it. Thus executing tasks in the cloud will speed up the extraction and in this case have better performance than local extraction.Ĭonversely, if the task is not split, then only one cloud server will be allocated to the task and thus Cloud Extraction will be slower than Local Extraction. If the task is split into sub-tasks in the cloud, then 4 cloud servers will be allocated to these sub-tasks (for Standard subscription plan).
All the data collected by our cloud servers would be saved in our cloud database. These cloud servers will run these sub-tasks and send the data collected to our cloud database.
The principle behind the Cloud Extraction is that, the task you put on Cloud Extraction is split into many sub-tasks, and these sub-tasks are assigned to many different cloud servers.
#Octoparse performance how to
This tutorial will talk more about how to solve the second problem - How to make Cloud Extraction work normally and faster than Local Extraction? There are missing data in Cloud Extraction I get data from Local Extraction but none from Cloud ExtractionĢ. Cloud Extraction is slower than Local Extractionģ. We summarize several problems encountered by our paying users.ġ. So we create some tutorials to solve all the problems you may have when using Cloud Extractions.
#Octoparse performance software
We are dedicated to providing the best web scraping software and service for you. Octoparse Cloud servers had got all the data you want from any websites for you. Not only did she waste time on learning Python, but she also lost the time she could have used for doing her real work.Imagine that one day you open one web scraping software and the screen display all the data you want, neatly.
It took her two weeks to come up with a page of messy codes. She wants to scrape some data from the web, so she decided to learn Python herself. For example, I have a friend who graduated in Mass Communication and works as a content marketer.
#Octoparse performance code
It seems beyond one’s job description if he/she needs to learn how to code in order to obtain certain useful data from the web. However, web scraping that requires coding skill can be painful for professionals in IT, SEO, marketing, e-commerce, real estate, hospitality, etc. It automatically downloads your desired information such as product name, seller’s name, price, etc. If you were an Amazon seller, would you want to know the listing price of a product of all competitors? Since you don’t have direct access to the Amazon database, you are out of luck and have to browse and click through every listing in order to construct a table of sellers and prices.