Twitter Auto Liker with Make.com

This guide shows you step by step how to build a safe, automated Twitter auto liker using make.com, starting from the official template and ending with a fully running scenario that works on autopilot.

The walkthrough below is based on the original how-to guide and keeps everything compliant with Twitter rules while still saving you time on repetitive engagement tasks.

Before you start with Make.com

To complete this tutorial successfully, you need a few things ready in advance. Have them prepared before you open make.com so the setup is smooth and fast.

• A make.com account with access to scenarios and templates.
• A Twitter (X) account with API access enabled via the developer portal.
• Basic familiarity with how scenarios, modules, and filters work.
• A clear idea of what tweets you want to like: hashtags, keywords, or user timelines.

Once these pieces are in place, you can move straight into the template and begin customizing your automation.

Open the official auto liker template in Make.com

The quickest way to build this automation is to start from the prebuilt auto liker template provided by make.com rather than building everything from scratch.

1. Go to the official how-to guide here: Twitter auto liker how-to on make.com.
2. Click the button or link that opens the template in your make.com account.
3. If asked, select the team or organization where you want to create the scenario.

After the template loads, you will see a scenario with several connected modules, typically including a trigger, search or filter modules, and an action module that sends the like to Twitter.

Understand the Make.com auto liker workflow

Before you connect any accounts, spend a moment looking at how the scenario is structured in make.com. This helps you customize it correctly.

The default template usually contains:

• Trigger module — runs on a schedule to check for new tweets.
• Search module — queries Twitter based on your chosen criteria (hashtag, keyword, or user).
• Filter or router — screens tweets so that only those matching your rules are liked.
• Action module — sends the like action to Twitter on your behalf.

Each part can be adapted, and that is where make.com gives you fine-grained control over the behavior of your auto liker.

Connect Twitter to Make.com

The next step is to authorize make.com so it can communicate with your Twitter account via the API.

1. Click the first Twitter module in the scenario diagram.
2. In the connection field, select Add or Create a connection.
3. A new window will open, asking you to log in to Twitter or authorize the app.
4. Confirm permissions so make.com can read tweets and post likes as needed.

Once connected, you will see the name of your Twitter connection in each relevant module. You can reuse this connection in other scenarios later.

Configure tweet search in Make.com

This part controls what tweets are detected and become candidates for liking. Setting this up correctly is the key to a useful automation in make.com.

1. Open the tweet search module in the scenario.
2. Choose a search type, such as:

• Hashtags (for example, #nocode, #automation)
• Keywords or phrases (for example, “automation tools”)
• Mentions of your account
• Timelines of specific users

3. Define language, result type, or other filter fields offered by the module.
4. Set a limit for the maximum number of tweets to return per execution to stay within safe usage levels.

At this stage, you can run the module only to see sample tweets that match your criteria, without actually liking them yet. Use the built-in tools in make.com to inspect the output bundle.

Filter tweets before liking in Make.com

Filtering protects your account from liking irrelevant or unsuitable posts. The template usually includes a filter step, which you can edit in the scenario editor inside make.com.

1. Click the line between the tweet search module and the like action module.
2. Select Set up a filter or edit the existing filter.
3. Define conditions such as:

• Tweet does not contain specific blocked keywords.
• Tweet language equals your preferred language.
• User follower count is above a certain threshold.
• Tweet is not a reply or is not a retweet.

4. Save the filter and re-run the scenario in test mode.

Make sure the filter only allows tweets you genuinely want to like. Proper filters are crucial when using a powerful automation platform like make.com.

Set the like action in Make.com

With search and filters configured, you now define how the like is actually sent from make.com to Twitter.

1. Open the like action module at the end of the scenario.
2. Confirm that it uses your Twitter connection.
3. In the tweet ID or status ID field, map the tweet identifier from the previous module’s output using the mapping panel.
4. Optionally, enable features like error handling or auto-retry if offered in the module settings.

Now, when the scenario runs, every tweet that passes the filter will be liked automatically.

Schedule the scenario in Make.com

To have the automation run hands-free, set up a schedule in make.com so the scenario executes at the right frequency.

1. Click the clock icon, or open the scenario schedule settings.
2. Choose how often to run:

• Every 5, 10, or 15 minutes for near real-time engagement.
• Hourly or a few times per day to keep usage modest.
• Custom cron-like schedules for advanced timing.

3. Turn the scenario on after you are satisfied with your tests.

Monitoring usage during the first few days is recommended. Make adjustments inside make.com if you see too many or too few liked tweets.

Test and monitor your Make.com setup

Before fully relying on the automation, run several manual tests to confirm everything works as expected.

1. Use the Run once button at the bottom of the scenario editor.
2. Inspect each module output in make.com to see the tweets being pulled and filtered.
3. Check your Twitter account to verify which tweets were liked.
4. Refine filters, search criteria, or schedule until the behavior matches your goals.

Regularly review the scenario history in make.com to track any errors or unexpected behavior, and update your filters as your strategy evolves.

Best practices for using Make.com with Twitter

A well-tuned auto liker can improve your presence, but it must be used responsibly. Keep the following best practices in mind when using make.com for this purpose.

• Stay within Twitter rules and rate limits to protect your account.
• Prioritize quality over quantity by tightening filters.
• Regularly update keyword and hashtag lists based on performance.
• Combine the auto liker with other make.com scenarios for replies, DMs, or analytics.

If you want expert help planning broader automation strategies beyond a single scenario, you can consult specialists at Consultevo for implementation and optimization guidance.

Next steps: expand automation in Make.com

After your auto liker is stable, explore more advanced workflows made possible by make.com.

• Create a scenario that logs liked tweets into a spreadsheet or database.
• Trigger notifications in Slack or email whenever specific high-value accounts post.
• Build multi-step funnels that start from a liked tweet and continue into CRM updates or lead tracking.

Because make.com integrates with hundreds of apps, your Twitter auto liker can become one component in a larger, automated engagement and marketing system.

By following this guide and using the official template, you can safely implement a Twitter auto liker in make.com, reduce manual work, and keep your account active with consistent, targeted engagement.

Need Help With Make.com?

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