Scrape post from LinkedIn – Octoparse HelpCenter

In this tutorial, we will show you how to scrape the posts from LinkedIn.com.

To follow through, you may want to use this URL in the tutorial:

https://www.linkedin.com/search/results/content/?keywords=octoparse&origin=SWITCH_SEARCH_VERTICAL

Here are the main steps in this tutorial: [Download task file here]

"Go To Web Page" - open the target web page
Dealing with infinitive scrolling – get more data from list page
Create a "Loop Item" - loop extract each post
Extract data – select the data you need to scrape
Start data extraction – run your task and get data

1. "Go To Web Page" - open the target web page

Click "+ Task" to start a new task with "Advanced Mode"
Paste the URL into the "Input URL" box
Click "Save URL" to move on

This website requires us to log in first, so we need to input our username and password to log in before accessing the data we want. Please check out the details in this tutorial: Extract Data behind a login.

Tips!

Advanced Mode is a highly flexible and powerful web scraping mode. For people who want to scrape from websites with complex structures, like Amazon.com, we strongly recommend Advanced Mode to start your data extraction project.

2. Dealing with infinitive scrolling

In this case, pagination is not an option for loading content, we will need to scroll down to the bottom of the page continuously to fully load all the contents.

Select "Scroll down to bottom of the page when finished loading" under "Advanced Options"
Set "Scroll times" and "Internal" you need
Select "Scroll down to bottom of the page" as "Scroll way"
Click "OK" to save

Tips!

1. Make sure that you input "Scroll times", otherwise Octoparse wouldn’t perform the "scroll down" action. We suggest it is better to set a relatively higher value of "Scroll times" if you need more data.

2. Most social media websites use scroll-down-to-refresh to view more data, click here to learn more about dealing with infinite scrolling.

3. Create a "Loop Item" - loop extract each post

Scroll down and select the 1st post in the built-in browser

We need to make sure the whole block of the first post is covered in blue when you curse over your mouse. Only in this way, we could see the whole post block is highlighted in green after clicking, covering all other information like author, title, content...etc.

Click the second whole post

Octoparse will automatically recognize the other similar blocks and highlight them in green

Click " Extract text of the selected element " on the "Action Tips" panel

Tips!

Normally we can just click "Select all sub-elements" on the "Action Tips" panel, but under certain circumstances (like this case), Octoparse fails to generate the option. Thus, we can create a loop at first, and select the data of each post for extracting manually in the next step.

4. Extract data - select data you need to scrape

Select the unwanted data fields
Click the icon of "Delete Data Field"
Click "Yes”
Click the data you need in the 1st item block to scrape.
Select "Extract text of the selected element" on the "Action Tips" panel
Rename the "Field name" column from predefined name list or inputting on your own, if necessary

Tips!

How can we check if the XPath of Loop Item is right?

Octoparse will automatically generate the XPath of the loop item. Since the layout of this web page is pretty simple, the XPath should be correct. But still, we can confirm that by scrolling down the page to load more content, and then check if the item numbers in the loop are increasing.

As we can see, when we scroll down the page manually, the newly loaded posts can be located successfully into the loop.

If you want to learn more about XPath and how to generate it, here are some related tutorials you might need:

Locate elements with XPath
Video: Octoparse: XPath 101

5. Start extraction – run your task and get data

Click "Save"
Click "Start Extraction" on the upper left side
Select "Local Extraction" to run the task on your computer, or select "Cloud Extraction" to run the task in the Cloud (for premium users only)

For a premium user, Cloud Extraction is highly recommended.