How to Extract Information from LinkedIn?Tuesday, April 19, 2016 6:28 AM
Step 1: Complete basic information. ➜ Click “Next”.
Step 2: Design Workflow.
Sign in your LinkedIn account in the build-in browser. Click the first textbox. ➜ Select “Enter text value”.
Type in your account in the input box under Customize Current Action.➜ Click “save” button.
Then click the second textbox. ➜ Select “Enter text value” .
Type in your password right here. ➜ Click “save”
Click on sign in button. ➜ Select “Click an item”.
Now you have signed in your LinkedIn. Next, drop an “open page” action into workflow designer. ➜ Paste the search result page URL in the textbox. (I search Microsoft.)
Now you’ve opened the result page in Octoparse. Then configure pagination action.➜ Scroll down the page to the bottom.
Click on “Next ” ➜ Select “Loop click the element”.
We know that information such as email, address is on detail pages. So we need to get into detail pages by creating a list of item.
Click on the name. ➜ Create a list of items. ➜ Add current item to the list. ➜ Continue to edit the list.
Click on the second one ➜ Add current item to the list ➜ Finish creating list ➜ Loop
Next extract data. ➜ Click on the name. ➜ Select “extract text”.
By clicking on the data you want to scrape, then selecting extract text, you can scrape any information on this page.
All the content will be selected in Data Fields. ➜ Click the "Field Name" to modify.
Next, drag the second "Loop Item" before “Click to paginate” action.
Once done configuring extraction rule, click “ Next”.
Step 3 Extraction Options
You can choose not to load images to speed up the extraction. But sometimes may cause problems on certain websites. ➜ Click “Next”.
Step 4 Done
Now the Task is completed! Choose the Local extraction to run the task on your computer.
The data extracted will be shown in "Data Extracted" pane. Click button to export the results to Excel file, databases or other formats and save the file to your computer. You can check out the built-in browser to see if the task runs as expected.
Happy Data Hunting!
Author: The Octoparse Team
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