1
1
0
A large variety of items may be found on AliExpress, which is one of the largest eCommerce websites in the world. Everything from gadgets to clothing is available for purchase.
Many shoppers would select AliExpress over their rivals because of the cheap pricing and high quality of their items.
Given the abundance of product information accessible on AliExpress, we'll demonstrate how you can scrape it without having to write any code.
Downloading a free web scraper will allow you to web scrape an eCommerce website without having to learn any programming languages.
There are a number of features we believe you will find useful, like cloud-based scraping, IP rotation, Dropbox connection, and scheduling, among others. It is completely free and simple to use.
Men's hoodies for sale on AliExpress.com will be the focus of this article.
As soon as the site has been rendered, a select command will be produced immediately. You will need to choose the primary element for this, which in this instance would look something like this.
Change the name of this selection to scroll.
Once the main Div has been picked, you may proceed to include the scroll feature. On the left sidebar, click the PLUS (+) sign next to the scroll selection, then click on advanced, and then select the scroll function from the drop-down menu.
You will need to specify how long you would like the software to scroll for; depending on how large the page is, you may require a higher or lower number. Let's just put it in twice and check to see that it's aligned to the bottom for now, shall we?
Now, Select the select command by clicking on the + symbol next to your page command and selecting it from the drop-down menu. To begin, choose the first product name that appears on the page. When you click on a name, it will become green to signify that it has been chosen for further consideration.
A yellow accent will be applied to the names of the remaining products. Select the second option from the drop-down menu. All of the things will now be highlighted in green to make them easier to see.
Change the name of your option in the left sidebar to product. The product name and URL for each product are now being extracted by ParseHub, as you can see in the screenshot below.
Select the Relative Select command from the left-hand sidebar by clicking the PLUS(+) symbol next to the product selection on the left-hand sidebar.
Then, using the Relative Select command, click on the first product name that appears on the page, followed by the listed price for that product. You will see an arrow linking the two options you have chosen.
Remove the URL that is being extracted by default as well as the new command that you've written and then restart the process.
Repeat these steps in order to get the product's star rating, the number of reviews, and the identity of the person who is selling it. Make care to rename your new choices in the appropriate manner.
We have now picked all of the information from the results page that we intended to scrape. It should now be possible to see your project as follows: Pause the video at any time to have a closer look. Select the Select command by clicking on the PLUS(+) symbol next to the page selection and selecting it from the drop-down menu. Then, at the bottom of the AliExpress page, click on the link that says "Next page." Change the name of the option to next.
The text and URL from this link will be extracted by default, so expand your new selection and delete the two extract instructions from it.
Now, use the Click command to choose your next option by clicking on the PLUS(+) symbol next to it.
A pop-up window will open, requesting confirmation that this is a "Next" link. Yes, and then enter the number of pages you'd want to travel to in the box provided. In this example, we will scrape two extra sites from the internet. To run your scrape, click on the Get Data button on the left sidebar and then on the Run button to the right of the button. It is recommended that you do a Test Run for larger projects in order to ensure that your data will be formatted appropriately.
You will be able to download all of the information you've requested as a convenient spreadsheet or as a JSON file after the scrape operation has been finished successfully.
Many shoppers would select AliExpress over their rivals because of the cheap pricing and high quality of their items.
Given the abundance of product information accessible on AliExpress, we'll demonstrate how you can scrape it without having to write any code.
Downloading a free web scraper will allow you to web scrape an eCommerce website without having to learn any programming languages.
There are a number of features we believe you will find useful, like cloud-based scraping, IP rotation, Dropbox connection, and scheduling, among others. It is completely free and simple to use.
Men's hoodies for sale on AliExpress.com will be the focus of this article.
As soon as the site has been rendered, a select command will be produced immediately. You will need to choose the primary element for this, which in this instance would look something like this.
Change the name of this selection to scroll.
Once the main Div has been picked, you may proceed to include the scroll feature. On the left sidebar, click the PLUS (+) sign next to the scroll selection, then click on advanced, and then select the scroll function from the drop-down menu.
You will need to specify how long you would like the software to scroll for; depending on how large the page is, you may require a higher or lower number. Let's just put it in twice and check to see that it's aligned to the bottom for now, shall we?
Now, Select the select command by clicking on the + symbol next to your page command and selecting it from the drop-down menu. To begin, choose the first product name that appears on the page. When you click on a name, it will become green to signify that it has been chosen for further consideration.
A yellow accent will be applied to the names of the remaining products. Select the second option from the drop-down menu. All of the things will now be highlighted in green to make them easier to see.
Change the name of your option in the left sidebar to product. The product name and URL for each product are now being extracted by ParseHub, as you can see in the screenshot below.
Select the Relative Select command from the left-hand sidebar by clicking the PLUS(+) symbol next to the product selection on the left-hand sidebar.
Then, using the Relative Select command, click on the first product name that appears on the page, followed by the listed price for that product. You will see an arrow linking the two options you have chosen.
Remove the URL that is being extracted by default as well as the new command that you've written and then restart the process.
Repeat these steps in order to get the product's star rating, the number of reviews, and the identity of the person who is selling it. Make care to rename your new choices in the appropriate manner.
We have now picked all of the information from the results page that we intended to scrape. It should now be possible to see your project as follows: Pause the video at any time to have a closer look. Select the Select command by clicking on the PLUS(+) symbol next to the page selection and selecting it from the drop-down menu. Then, at the bottom of the AliExpress page, click on the link that says "Next page." Change the name of the option to next.
The text and URL from this link will be extracted by default, so expand your new selection and delete the two extract instructions from it.
Now, use the Click command to choose your next option by clicking on the PLUS(+) symbol next to it.
A pop-up window will open, requesting confirmation that this is a "Next" link. Yes, and then enter the number of pages you'd want to travel to in the box provided. In this example, we will scrape two extra sites from the internet. To run your scrape, click on the Get Data button on the left sidebar and then on the Run button to the right of the button. It is recommended that you do a Test Run for larger projects in order to ensure that your data will be formatted appropriately.
You will be able to download all of the information you've requested as a convenient spreadsheet or as a JSON file after the scrape operation has been finished successfully.
Just a moment...
Posted from it-s.com
Posted >1 y ago
Read This Next
Continue with Facebook 
Continue with Google