How to Build AI Workflows Using the Walls.io Social Media API & n8n

Your social wall doesn’t have to be just for display. With Walls.io social media API and n8n, the same content can trigger almost anything. n8n connects to over 400 apps and any service with an API. So, the Slack and HubSpot examples below are just two of many options. You can route your wall’s content to a database, an email tool, a spreadsheet, a translation step, a chatbot, or a full AI agent just as easily. This guide will walk you through three workflows, step by step. The same building blocks will connect your wall to whatever service you use.

If you have not built anything on the API yet, the developer guide and the VibeCoding guide cover displaying a wall. This article is about what happens after the content is flowing: automating around it.

What is a social wall, and why automate it?

A social wall collects posts from many networks in one place and shows them live. This could be a screen at an event, a widget on your site, or a display in a store. That is the visible half. The other half is everything the content could set in motion once a machine can read it: a notification, a saved lead, a follow-up email, a post pushed somewhere else. As soon as your wall’s content is accessible through an API, you can automate the entire workflow. n8n is the tool that runs those workflows.

What is n8n?

n8n (say it “n-eight-n”) is a workflow automation platform that is available for use with any source. You build a workflow by connecting nodes on a canvas. A trigger starts the workflow. Action nodes do things in other apps. Logic or code nodes shape the data. It comes with over 400 app integrations, and its HTTP Request node can connect to any REST API. This means that even without a dedicated node, it’s still one node away from the full functionality. You can self-host the free Community Edition or run it on n8n Cloud, and recent versions add a native AI agent builder with model, memory and tool nodes. That last part is why people increasingly call these “AI workflows”: you can slot an LLM into the same canvas that moves your data around.

How the Walls.io social media API brings every social network into n8n

n8n has nodes for a handful of social platforms, but not all of them, and the ones it has are boxed in by each network’s own API rules. The Walls.io social media API used on n8n steps around that problem. Because Walls.io is a Meta-API that already merges every connected network into one social media aggregation feed – collect content from social media and display it anywhere – a single HTTP Request node pointed at GET /posts hands your workflow content from all of them at once, in one consistent shape. Connect a new source in your Walls.io settings, and it simply shows up in the same n8n data: no extra node, no extra credential, no new authentication to wrestle with.

How to set up your Walls.io social media API token for n8n

Each request needs an access token tied to your wall. In the Walls.io dashboard, open your wall’s settings, go to the API section, and choose Activate API access, then copy the token. API access is part of every paid Walls.io plan; the pricing page shows the tiers and the API docs have the full field list.

A word on where that token lives. The quickest thing is to paste it straight into the request URL:

GET https://api.walls.io/v1/posts?access_token=YOUR_ACCESS_TOKEN&limit=5

That works, but the token then sits in plain text inside the workflow, which is a problem the moment you export or share it. The cleaner approach in n8n is to store the token in its encrypted credential store. On the HTTP Request node, set Authentication to Generic Credential, pick Query Auth, and add a parameter named access_token with your token as the value. n8n then attaches it to every call for you, and the token never appears in the workflow itself. If your token has ever been shared inside an exported workflow, regenerate it in your wall settings to be safe.

Use case 1: send new posts to a Slack channel

The goal: every few minutes, check the wall for new posts and drop each new one into a Slack channel, without ever posting the same item twice. The workflow is four nodes – Trigger, HTTP Request, Remove Duplicates, Slack. Download this workflow as JSON and import it in n8n!

1. Add a trigger. Start with a Manual Trigger while you build and test. For production, swap it for a Schedule Trigger set to run every five minutes so the wall is polled on a steady cadence.
2. Fetch the posts. Add an HTTP Request node, method GET, URL https://api.walls.io/v1/posts. Add the access_token (via the Query Auth credential above) and a limit query parameter, for example 5. It helps to also send sort=-created_timestamp so the newest posts come first. The response is JSON with a data array of posts.
3. Filter out anything you have already seen. This is the important one. Add a Remove Duplicates node and choose the operation “Remove items processed in previous executions”. Set the value it keys on to the post ID, with the expression {{ $json.data[0].id }}. n8n keeps a record of the IDs it has already handled, so on the next run any post whose ID was seen before is dropped. Without this node, every five-minute run would resend the same posts to Slack over and over.
4. Send the Slack message. Add a Slack node, connect your Slack (OAuth2) credential, choose the channel, and build the message from the post fields. For example:New post by {{ $json.data[0].external_name }}: {{ $json.data[0].comment }} {{ $json.data[0].post_link_wallsio }}
5. Test, then activate. Run it once with the Manual Trigger and confirm a message lands in Slack. Switch to the Schedule Trigger and activate the workflow.

Handling more than one new post per run. The setup above keys the deduplication on the first post in the array, which is fine when you process the newest post each run. If several posts can arrive between runs and you want a Slack message for each, add a Split Out node on the data field right after the HTTP Request, so every post becomes its own item. Then dedupe on {{ $json.id }} and reference fields as {{ $json.external_name }}, {{ $json.comment }} and so on. The Slack node will fire once per genuinely new post.

Use case 2: push Direct Posts leads into HubSpot

Walls.io Direct Posts lets visitors submit content to your wall through a form, and when you collect their details, each submission becomes a lead with an email address attached. That is gold at an event or during a campaign. This workflow reads those leads and creates or updates a contact in HubSpot for each one. Three nodes – Trigger, HTTP Request, HubSpot. Download this workflow as JSON and import it in n8n!

1. Turn on lead capture. In your wall settings, enable Direct Posts with the fields you want to collect (an email at minimum). Submissions now arrive as leads you can read from the API.
2. Add a trigger. Manual while testing; a Schedule Trigger (say, every 15 minutes) once it is live.
3. Fetch the leads. Add an HTTP Request node, method GET, URL https://api.walls.io/v1/leads, with your access_token credential and a limit such as 5. The response is a data array of leads, each carrying the details your form collected, for example email and location.
4. Skip leads you have already imported. As in the first workflow, add a Remove Duplicates node set to “Remove items processed in previous executions”, keyed on the lead’s ID or email. This stops the same person being pushed to HubSpot on every run.
5. Create or update the contact. Add a HubSpot node, connect your HubSpot (OAuth2) credential, and choose the Contact resource with the “Create or update” operation. Map the email with {{ $json.data[0].email }}, and add any extra fields you collect, for example Country from {{ $json.data[0].location }}. Add more mappings as your form grows.
6. Test, then activate. Submit a test post with an email through your wall, run the workflow, and confirm the contact appears in HubSpot. Switch to the schedule and activate.

Swap HubSpot for a Google Sheets, Salesforce, or Mailchimp node and the same shape works for whatever tool your team actually uses.

Use case 3: publish new posts to your social wall

The API is not read-only. You can push content onto your wall with a direct post, which is how you feed it from other systems, or from an AI step. This workflow is the smallest of the three – just a Trigger and one HTTP Request – but it is the one that opens the door to genuine AI workflows. Download this workflow as JSON and import it in n8n!

1. Add a trigger. A Manual Trigger is fine for a first test. In practice you would trigger this from something else: a new item in an RSS feed, a new row in a sheet, a schedule, or the output of an AI node.
2. Post to the wall. Add an HTTP Request node, method POST, URL https://api.walls.io/v1/posts. Set the body to Form-Urlencoded and add these parameters: access_token, text (the post content), and user_name (the author name shown on the wall). For example, a text of “Picture of a cat” from a user_name of “Cat Facts”. The docs list the other fields you can send.
3. Run it and check the wall. The post appears on your wall. Depending on your moderation settings, direct posts may first land in your moderation queue for approval, which is usually what you want for anything automated.
4. Make it an AI workflow. Put an LLM node before the HTTP Request and let it generate the text – a summary of today’s news, a rephrased announcement, a caption for an image – then feed that output into the post. Now your wall publishes AI-generated content on its own, on whatever schedule or trigger you set.

More ways to automate with the Walls.io social media API and n8n

Once you understand the three patterns above — read posts, read leads, and publish posts — you can combine them with any of n8n’s other nodes. Here are a few ideas to get you started:

• Post only keyword or hashtag matches to Slack, Teams, or Discord right away.
• Check incoming posts for negative sentiment using AI, and notify a moderator if something appears negative.
• Sync Direct Posts leads to Salesforce, a Google Sheet, or your email tool, as well as HubSpot.
• Send a thank-you email to everyone who submits a post through your wall.
• You can also use a direct post to copy your own posts from other channels onto your wall.
• Before you display, archive, or forward a post, use an LLM node to translate it.
• Use AI to summarize the day’s posts and then publish the recap on the wall.
• Set it up to generate an image or caption, and then post it to the wall automatically at a time you choose.
• Save every post in Notion, Airtable, or a database so you can see how many people have viewed it.
• Make a weekly email with the most popular posts and send it to the people involved.
• Use an AI classifier to identify likely spam and send it to a human for review before it reaches the wall.

Start automating

The Walls.io social media API provides n8n with a single, organized source of social content and a method for publishing back to it. Your team can automate anything from a simple Slack message to a full AI agent that can post on its own. Pick one of the three workflows, connect the nodes, and you will have it running in an afternoon. Start your free trial, grab your token, and point n8n at the Walls.io API docs.