AI LinkedIn Post Responder

Leverage your Lead lists as input for the Phantom. If you do not have any leads in your lead list yet, use a LinkedIn Phantom that gathers Profile URLs such as the LinkedIn Search Export Phantom to populate your Leads page with leads.

You can also use a LinkedIn Profile URL of a lead that is already in your lead list.

PhantomBuster’s LinkedIn Post Likers Export Automation lets you extract the profiles of users who liked specific LinkedIn posts. This tutorial outlines the essential steps to set up and launch the Automation efficiently.

• Extraction limit: LinkedIn only displays up to 3,000 likers per post; the Phantom cannot extract beyond this limit.

• Input requirements: Google Sheets must be shared with "Anyone with the link," and CSV files must be publicly accessible (paid plans only).

• Free plan limitations: Exports are limited to the first 10 rows (CSV only); dynamic CSV links, JSON exports, and CSV input uploads are unavailable.

• Performance: Estimated processing time is 25 seconds per 900 likers; uses 1 execution slot per run.

• Compatibility: This Phantom does not send data to the LinkedIn Leads page.

1. Connect your LinkedIn account: Install the PhantomBuster browser extension and connect your LinkedIn session in one click, or retrieve your session cookie manually if not using Chrome or Firefox.

   Keep your browser updated; outdated versions can cause session cookies to expire faster, requiring frequent reconnection.

2. Provide LinkedIn post URLs: Paste a single post URL, or provide a Google Sheet or publicly accessible CSV containing a list of post URLs.

   The Phantom uses the first column (A) by default; enter the exact column header name if your URLs are located elsewhere.

3. Control how many posts are processed: Optionally enable duplicate removal or Watcher mode, and set the number of posts to process per launch (leave empty to process all).

   Running too many posts in one launch may force frequent session cookie refreshes.

4. Configure result file settings (optional): Set a custom results file name or list specific fields to keep in the final output.

   Renaming the results file between launches creates a new file and restarts processing from the first input.

5. Select launch frequency:

   Choose to launch manually, schedule a one-time or recurring run, or trigger the Phantom after another Automation finishes.

6. Adjust advanced settings (optional):

   Leave defaults unless needed; you can fine-tune execution limits, retries, notifications, proxies, and file management.

7. Launch and retrieve results: Click Launch to start, then review the collected data in the Results tab to download as CSV/JSON or export to Google Sheets.

   Output fields include: profileLink, name, firstName, lastName, occupation, degree, reactionType, and companyUrl.

For more detailed instructions and troubleshooting, see the full tutorial on the help center.

Select which GPT model you want to use, GPT 3.5 or GPT 4.

GPT 4 is more powerful than GPT 3.5, but also uses up more AI credits. Selecting GPT 4 can use up to 30 times as many credits as GPT 3.5.

Select a prompt template or write your own

There are three pre written prompts in this section which you can use if your desired outcome is to:

• Write a connection request message based on a recent post by your lead

• Write a connection request message that pitches your product or service based on a recent post by your lead

• Write a comment on a post that your lead has posted

You also have the option to write your custom script, if you have a different goal in mind.

We recommend sending all your available data to GPT for the best results, but you can also specify specifically which columns you want GPT to look at for the input. The columns you select here will be the only data input GPT has to base the response on. Make sure that the columns you select has the right information that GPT needs to create a valid output based on your prompt.

If you have many leads in your Leads list, you may want to select to run the Phantom on only a few of them to try your prompt. In the Behavior section, you can select how the Phantom should behave.

• Run prompts on first 10 leads (recommended for testing). This setting will give you an output for only the first 10 leads in your Leads list. If you select this, the Phantom can also re-run the same 10 leads to give you a different output if you wish to test a new prompt with the same Leads list

• Run prompt on all leads. This will process all the leads in your Leads list

• Run prompt on a select number of leads. This allows you to select the exact number of leads you wish to process at launch

Launch

You can choose to launch the Phantom manually, repeatedly, or every time another Phantom finishes. Select the option that best matches your needs.

We recommend setting up repeated launches to have your Phantom constantly working in the background on your behalf!

Notifications

If you wish to be notified when the Phantom has launched Successfully or if there was an error, you can select the settings here. Under "Advanced settings", you can connect to your Slack account if you want to be notified on Slack instead of by email.

Advanced settings

Under "Advanced settings", you can choose to use a proxy to mask your digital footprint. You can also set limits on the amount of execution time the Phantom is allowed to use, select if it should not run in parallel with other Phantoms, and limit the number of maximum retries if the Phantom runs into an issue.

Once your AI LinkedIn Post Responder Phantom has finished running, you’ll have a results file containing AI-generated comments for each profile. You can use these comments to automatically reply to your leads’ most recent LinkedIn posts using the LinkedIn Auto Commenter Phantom.

Here’s how to do it:

Export your results to Google Sheets:

• Your results file will contain a column called ai_message, where the generated comments appear.

• Export this file to Google Sheets manually or dynamically. You can follow this guide: How to export data to Google Sheets.

Set up the LinkedIn Auto Commenter

• Open the LinkedIn Auto Commenter Phantom.

• Paste the link to your Google Sheet in the input step.

• In the setup:
  Select the column containing the LinkedIn post URLs
  Select ai_message as the column containing the comments

• Complete the rest of the setup and launch the Phantom.

Each lead will receive a personalized, AI-written comment posted to their most recent LinkedIn activity.

Note: The AI LinkedIn Post Responder only writes comments for posts published in the last month. If a profile has only older posts, you’ll see the message: "No posts found on that profile's last activity."