Twitter Auto Liker

This automation will act on your behalf on Twitter. The safest and most efficient way for the Phantom to connect to your account is by using your session cookie, which you can retrieve using PhantomBuster's browser extension. It's a simple 2-click installation:

• Get it for Chrome

• Get it for Firefox

If you're operating from another browser, you can find your cookie manually.

Take note: Every time you log into Twitter, a new cookie is created for that "session," so you must be logged in (and stay logged in) on your browser to provide a working cookie.

You have two options with this Phantom - you can either give the URLs of Twitter profiles whose tweets you want to auto like, or the URLs of specific tweets themselves.

There are two ways you can give these URLs:

1. Process a single profile/tweet
Copy the Twitter profile/tweet URL and paste it into your Phantom's setup.

2. Process multiple profiles/tweets
Create a spreadsheet with Google Sheets. Copy the Twitter profile/tweet URLs and paste them into your spreadsheet - one URL per row, all in column A.

Make this spreadsheet public so PhantomBuster can access it.

Copy the spreadsheet URL and paste it into your Phantom's setup.

Tell the Phantom how many lines of your spreadsheet you would like it to process each time it launches. If you're using profile URLs, you should also tell the Phantom how many posts from each profile you want it to like.

If the Phantom does not process all of the profiles or posts in your input spreadsheet during a launch, it will pick up from where it left off in the next launch.

It's always best to follow the recommendations given and not process too many at once in order to keep your account safe. If you want to automate in slightly higher volumes, we'd recommend using post URLs instead of profile URLs.

This Phantom will perform 1 of 2 actions on your behalf:

• Like

• Unlike

If you would like to like and later unlike the same posts, you should duplicate the Phantom and use one for each action, providing the same list of URLs as input.

PhantomBuster’s Domain Name Finder Automation uses public search engines to find a company’s main website domain. This short tutorial walks you through setting inputs, processing options, scheduling, and retrieving results.

• Matching limitations:

  Returns one main domain (best match) per company. Country & Language settings guide search context but cannot strictly restrict results to specific TLDs (e.g., .fr).

• Input requirements:

  Google Sheets must be public (anyone with the link); CSV URL input is available on paid plans only. No session cookies are required.

• Performance & Safety:

  Processes ~14 domains per minute using 1 slot. Search engines may temporarily block shared IPs if requests are too frequent; if stopped, wait ~15 minutes or use a proxy.

• Free plan limits:

  CSV exports include only the first 10 rows. JSON exports, dynamic CSV download links, and CSV uploads as inputs are unavailable.

1. Provide the company names:

   Choose an input source (My Lists, manual names, a Google Sheet/CSV URL, or My Phantoms), then optionally set Country & Language to guide the search context.

For spreadsheet/CSV inputs, the Phantom reads column A by default. To target a different column, specify its header name in the input settings.

• Configure processing settings:

  Add any domains to ignore, set how many companies to process per launch for spreadsheet/CSV inputs, and optionally rename the results file.

"Number of companies to process per launch" applies only to spreadsheet/CSV inputs (default 100). Renaming the results file between launches will create a new file and restart processing from scratch.

• Select launch frequency:

  Run manually, schedule a one-time run, launch repeatedly, trigger it after another Phantom, or use Advanced scheduling for precise timing.

• Optional: Adjust advanced settings:

  Keep defaults unless you need to fine-tune execution limits, retries, notifications, proxies, webhooks, or file management.

• Launch and retrieve results:

  Click Launch, then open the Results tab to view found domains and download or export your results.

For full details and configuration options, see the tutorial on the help center.