LinkedIn Inbox Scraper

Overview

This app allows you to specify a date range and different Inboxes to batch scrape the latest message content, date, sender's LinkedIn profile link, headline, and other related data from your LinkedIn Inbox. It also determines whether the latest message was sent by you or the recipient, helping you evaluate the success of your outreach efforts and plan your next steps. The scraped results are saved locally in an Excel file for easy analysis.

Ideal for sales professionals, recruiters, and outreach teams, this app helps you stay organized and on top of your LinkedIn messaging campaigns. By automatically tracking the status of your messages, you can review outreach success, assess responses from leads, and make timely decisions for further engagement.

The LinkedIn Inbox Scraper collects the latest message from a specified Inbox. To scrape all messages from a specific lead, try our LinkedIn Message Thread Scraper.

How to Use

1. Download the app from Octoparse AI app store.

2. Launch the app in your list.

   

   1. Parameter Description

      

      1. ExportPath: Select the folder where you’d like to save the scraped data.

      2. Browser: Select the browser where the app will run.

      3. AdsPowerProfileId: If you’re using AdsPower, open a profile first and enter its ID here.

      4. InboxCategory: The following categories are available: Inbox, Focused, Other, Archived, Spam.

         Focused Inbox can be turned on or off in LinkedIn’s Data Privacy settings. If turned on, Focused and Other categories will appear, and Inbox will be invisible. If turned off, only the Inbox category will appear.

      5. MessageStatus: Filters messages based on their status. Options include: All Messages, Drafts, Unread, My Connections, InMail, Starred.

         All Messages collects all message statuses within the specified Inbox.

      6. MessagesBeforeDate: Collect the latest message from the specified Inbox, sent on or before the selected date. For example, if you choose July 1st, the app will collect messages sent on July 1st and before.

      7. ConversationThreadCount: The number of conversation threads to collect, starting from the selected date and moving backward. For example, if you select July 1st and request 5 threads, it will collect the 5 most recent conversations sent on or before that date.

   2. Click "Run application"

3. Output

   The app collects the following fields for the latest message in the specified Inbox: Thread URL, LinkedIn URLs, Message, Last Message From URL, First Name From, Last Name From, Headline, Is Last Message From Me, and Last Message Date.The collected data will be organized by Inbox category and date, and saved as an Excel file in the specified path.

   

Notes

• Before running the app, make sure to install the following Python packages: requests, pandas, chardet, and openpyxl. Installation instructions are shown in the image below.

  • Click on your user avatar in the client, go to "Tools" and select "Python Library Management."

    

  • Enter the package name in the "Library Name" field, click "Install" and wait for the installation to complete. Then, close the window and run the app.

    

• Please log into your LinkedIn account in the specified browser beforehand and ensure the browser is in full-screen mode while the app is running.

• Do not use the mouse or keyboard while the app is running to avoid interruptions.

• Please adhere to LinkedIn’s automation rate limits and manage the number of message threads you extract daily. It's recommended to start with a small number and gradually increase.

Troubleshooting

Encounter obstacles but don't know how to resolve them when executing the app?

Please contact our support team at [email protected] to find the way out!