How to Use the Twitter/X Tweet Likers Export

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Slot usage

1 slot

Estimated execution time

~30 seconds per 100 likers

What you'll need

  • A connected X/Twitter account (use the PhantomBuster browser extension)
  • A list of tweet URLs from your own account (this Phantom only works on your tweets)
  • Your X/Twitter account language set to English (Polish, French, Japanese, and Russian are also supported), using other languages may cause an Invalid session cookie error

    → See the full breakdown of all input fields in the detailed section below.

What you’ll get

  • Profile URLs, names, and @screen names of likers and retweeters
  • Like and retweet counts per tweet

    → See the full breakdown of all output fields in the detailed section below.

Before you start

  • Awareness of platform limits:
    • Due to recent X/Twitter changes, this Phantom only works with tweets from your own account.
    • It cannot show you who liked tweets from other users.

Step 1: Connect your X/Twitter account

To let the Phantom act on your behalf:

  1. Install the PhantomBuster browser extension and connect your X/Twitter session in one click.
  2. If you’re not using Chrome or Firefox, you can retrieve your session cookie manually (see our cookie guide).
PhantomBuster Twitter X Tweet Likers Export step 1 connecting your X/Twitter account

Step 2: Provide your search inputs

You can give your input in one of the following ways:

  • A URL:
    • Paste a single tweet URL.
    • Paste the URL of a Google Sheet with your tweet URLs (make sure it’s shared with “Anyone with the link”).
    • Or upload a CSV file with your tweet URLs (make sure it’s publicly accessible, and note that CSV upload is only available on paid plans).

→ If you’re using a spreadsheet, the Phantom defaults to the first column (A). To use a different column, enter the column’s header name in the field “Name of column containing tweet URLs.”

PhantomBuster Twitter X Tweet Likers Export step 2 providing tweet URLs as input

Step 3: Configure limits and search filters

  1. Number of tweets to process per launch (optional):
    • Default = 2.
    • If left empty, the Phantom will attempt to process all your tweets in one launch.
  2. Number of likers to extract per tweet (optional):
    • Default = empty, the Phantom will attempt to retrieve all likers.
    • Keep in mind X/Twitter’s new visibility rules:
      • You can only see who liked your own tweets.
      • You will no longer see who liked someone else’s tweets.
      • Like counts for other people’s tweets are still visible, but the list of likers is hidden.
  3. Number of retweeters to extract per tweet (optional):
    • Default = empty, the Phantom will attempt to retrieve all retweeters.
  4. Watcher mode (optional):
    • Enable to reprocess the same tweet URLs every launch to capture new likes/retweets over time.
PhantomBuster Twitter X Tweet Likers Export step 3 configuring likers and retweeters limits and watcher mode

Result file settings (dropdown in setup)

  1. Name your results file (optional)
    • You can customize the file name.

      If you rename the file between launches, the Phantom will create a new results file and start processing inputs from scratch.

  2. Fields to keep (optional)

Step 4: Select launch frequency

Choose how often the Phantom should run:

  1. Launch manually: Start the Phantom yourself whenever you need.
  2. Launch once at a specific time: schedule a one-time run at a set date and time.
  3. Launch repeatedly: schedule regular runs (e.g. once per day, several times during working hours).
  4. Launch after another Phantom: chain automations together so this Phantom starts right after another finishes.
  5. Advanced scheduling: customize the exact minutes, hours, days, or months when the Phantom should run.

→ For a complete walkthrough of scheduling options, see our guide to scheduling Phantoms automatically.

PhantomBuster Twitter X Tweet Likers Export step 4 selecting launch frequency

Step 5 (Optional): Advanced settings

Advanced settings are available if you want to fine-tune how your Phantom runs, but by default they’re already optimized for most use cases.

We recommend leaving them as they are unless a guide specifically instructs you to change something.

→ For a detailed overview of all advanced options (like execution limits, retries, email notifications, proxies, webhooks, and file management), see our Advanced settings guide.

Launch and results

When you’re ready:

  1. Click Launch to start your Phantom.
  2. Once it finishes, open the Results tab in the Phantom console to see extracted likers and retweeters of your tweets.
  3. Download your results as a CSV or JSON file.

To learn how to export your data to Google Sheets, integrate with other tools, or reuse it in more automations, check our Access and Export your Phantom Results guide.

Export and input limits on the Free plan
If you’re on the Free plan or Free trial, some features are limited:
- CSV exports include only the first 10 rows of results.
- CSV download links (for dynamic viewing in Google Sheets or integrations) are not available.
- JSON exports are not available.
- CSV upload as an input method is not supported.
To unlock all features, you’ll need to upgrade to a paid plan.

What you give (Input) and What you get (Output)

This section gives you a detailed breakdown of everything you need to provide to run this Phantom, and everything you’ll receive once it completes.

What you give (Input)

Type Description
X/Twitter cookie Your X/Twitter session cookie
X/Twitter tweets X/Twitter tweet URLs

What you get (Output)

Type Description
likesCount Likes count
rtCount Retweets count
description Description
name Name
screenName Screen Name
action Action
profileUrl Profile Url
tweetUrl Tweet Url

Tips and troubleshooting

Common pitfalls

  • Using a private spreadsheet (make sure it’s set to “Anyone with the link”).
  • Processing too many tweets at once → keep input volumes smaller for reliability.
  • Forgetting to enable Watcher mode if you want to track new likes/retweets over time.
  • Trying to extract likers from other users’ tweets → not supported anymore. You can only extract likers from your own tweets.

If you run into issues

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