January 22, 2026

Readwise + OpenRouter, weekly insights you can publish

Lisa Granqvist Partner Workflow Automation Expert

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Your best ideas are probably already in your highlights. They’re just buried. You read great stuff all week, save a few lines in Readwise, and then Monday shows up and you’re back to a blank page and a vague “I know I learned something…” feeling.

This Readwise OpenRouter insights automation hits content marketers hardest, but founders writing thought leadership and consultants building credibility feel it too. Instead of re-reading your own archive, you start the week with a clear brief: themes, key quotes, and publishable angles.

Below is what the workflow does, what you get out of it, and how to run it weekly without turning “reading” into another admin chore.

How This Automation Works

The full n8n workflow, from trigger to final output:

n8n Workflow Template: Readwise + OpenRouter, weekly insights you can publish

Click to explore

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The Problem: Highlights Don’t Turn Into Content

Readwise is great at capturing highlights. The painful part is what happens after. You have quotes, half-finished notes, and a growing list of articles you “mean to revisit” that never actually make it into a post, a client insight, or a team brief. When you finally need to write, you end up skimming your archive, copying snippets into a doc, trying to remember what mattered, and losing the thread halfway through. It’s not hard work. It’s draining work. And it quietly steals the momentum your reading should be building.

The friction compounds. Here’s where it usually breaks down.

You spend about 30–60 minutes hunting for “the good bits,” then realize you forgot why they were good.
Highlights stay disconnected, so patterns across multiple articles never get surfaced.
Content ideation turns into guesswork because there’s no weekly summary of what you actually focused on.
You save interesting ideas, but they don’t get turned into a reusable brief your future self can act on.

The Solution: Weekly Readwise Insights, Generated and Saved Automatically

This workflow turns your last 7 days of Readwise activity into a “Weekly Reading Insights” article you can publish from. It runs on a schedule (or manually), pulls the articles you updated recently, and filters for the ones you actually engaged with (more than 10% read progress). Then it fetches the matching highlights, bundles everything into a structured prompt, and sends it to an AI model through OpenRouter. The model returns a clean, organized markdown brief with themes, takeaways, and content angles. Finally, the workflow converts that markdown to HTML and saves it back into Readwise as a new article titled “Weekly Reading Insights,” so it lives inside your second brain instead of scattered across docs.

The workflow starts with a weekly trigger (Monday at 09:00 by default) or a manual run when you want it. Readwise data gets pulled and matched, then OpenRouter generates the analysis. The finished brief is rendered and posted back to Readwise automatically.

What You Get: Automation vs. Results

What This Workflow Automates

Results You’ll Get

Pulls your updated Readwise articles from the past 7 days automatically.
Filters to keep only articles you actually started reading (over 10% progress).
Fetches and matches highlights to the correct articles, so nothing gets orphaned.
Generates a structured weekly insights brief via OpenRouter, then saves it back to Readwise.

A publish-ready brief every week in about 10–15 minutes of “set and forget.”
Clear themes across everything you read, which makes your point-of-view easier to articulate.
A running archive of weekly summaries you can mine for posts, talks, and newsletters.
Less writer’s block because you start from prompts and angles, not a blank doc.
Better recall of what you read, since your highlights are contextualized, not just listed.

Example: What This Looks Like

Say you read 10 articles in a week and highlight 5–10 passages in each. Manually, pulling those into a doc, grouping themes, and drafting angles is easily about 2 hours (and that’s on a good week). With this workflow, you trigger it in seconds, n8n fetches the last 7 days of Readwise activity, and the AI generates your “Weekly Reading Insights” brief while you do something else. You usually end up spending maybe 10 minutes reviewing and polishing before publishing or repurposing.

What You’ll Need

n8n instance (try n8n Cloud free)
Self-hosting option if you prefer (Hostinger works well)
Readwise for your articles, highlights, and saving back.
OpenRouter to generate the weekly insights brief.
Readwise API token (get it from the Readwise Reader API settings).

Skill level: Beginner. You’ll paste API keys, test one run, and optionally tweak the prompt wording.

Don’t want to set this up yourself? Talk to an automation expert (free 15-minute consultation).

How It Works

A weekly (or manual) run kicks it off. The workflow can run on a schedule (Monday morning by default) or whenever you hit “execute” in n8n.

Readwise articles are pulled and cleaned up. n8n retrieves recently updated articles, splits them into individual items, then filters out anything you barely touched by keeping only reads over 10% progress.

Highlights are fetched and matched to the right sources. For the filtered articles, the workflow retrieves highlights, splits them out, and matches each highlight back to its article so the AI sees the full context.

OpenRouter generates the insights, then Readwise stores the result. A prompt is built from your reading data, OpenRouter returns a markdown brief, it’s converted to HTML, and then posted back into Readwise as “Weekly Reading Insights.”

You can easily modify the prompt persona and the output format to match your brand voice and publishing goals. See the full implementation guide below for customization options.

Step-by-Step Implementation Guide

Step 1: Configure the Schedule Trigger

Set up the weekly and manual triggers that start the workflow.

Open Weekly Schedule Trigger and set the cron Expression to 0 9 * * 1 to run every Monday at 9:00 AM.
Keep Manual Execution Trigger enabled for on-demand testing and ad‑hoc runs.
Confirm that Weekly Schedule Trigger outputs to Retrieve Articles and Manual Execution Trigger also outputs to Retrieve Articles.

Use Manual Execution Trigger during setup so you don’t have to wait for the weekly schedule.

Step 2: Connect Readwise and Fetch Weekly Articles

Configure the first Readwise request and split the response into individual article items.

Open Retrieve Articles and set URL to https://readwise.io/api/v3/list.
Set Authentication to genericCredentialType and Generic Auth Type to httpHeaderAuth. Credential Required: Connect your httpHeaderAuth credentials.
Under Query Parameters, set updatedAfter to {{ $now.minus(7, 'days') }}, withHtmlContent to true, and category to article.
Keep pagination enabled with Next URL set to {{ $response.body.nextPageCursor ? `https://readwise.io/api/v3/list?pageCursor=$response.body.nextPageCursor` : 'https://readwise.io/api/v3/list'}} and Complete Expression set to {{!$response.body.nextPageCursor }}.
Open Separate Article Items and set Field to Split Out to results.

⚠️ Common Pitfall: If the updatedAfter expression returns no data, check your instance timezone or extend the date window for testing.

Step 3: Filter Reading Progress and Fetch Highlights

Filter articles with meaningful engagement and fetch their highlights from Readwise.

In Filter Read Progress >10%, set the condition Left Value to {{ $json.reading_progress }}, Operation to gt, and Right Value to 0.1.
Open Retrieve Highlights and set URL to =https://readwise.io/api/v3/list/.
Set Authentication to genericCredentialType and Generic Auth Type to httpHeaderAuth. Credential Required: Connect your httpHeaderAuth credentials.
Under Query Parameters, set category to =highlight and updatedAfter to {{ $now.minus(7, 'days') }}.
Open Separate Highlight Items and set Field to Split Out to results.
In Match Highlights to Article, set the condition to match Left Value {{ $json.parent_id }} with Right Value {{ $('Filter Read Progress >10%').item.json.id }}.

Step 4: Combine Data and Build the LLM Prompt

Merge articles and highlights, then craft the structured prompt used by the AI model.

Review Combine Articles and Highlights to ensure the code references Filter Read Progress >10% and Match Highlights to Article for merging results.
Open Build Insight Prompt and confirm it builds the prompt from merged content and returns prompt, articles_count, and total_highlights.
Ensure the prompt formatting rules in Build Insight Prompt remain intact to enforce markdown links.

If your results look too short, increase your Readwise fetch window or lower the Filter Read Progress >10% threshold.

Step 5: Configure the AI Generation and Output Formatting

Run the AI model, convert markdown to HTML, and prepare the Readwise payload.

In Produce Weekly Insights, set Text to {{ $json.prompt }} and keep Prompt Type as define.
Open LLM Chat Model and set Model to google/gemini-2.5-pro. Credential Required: Connect your openRouterApi credentials. This model is attached as the language model for Produce Weekly Insights—add credentials to LLM Chat Model, not the chain node.
In Render Insights as HTML, set Mode to markdownToHtml and Markdown to {{ $json.text }}.
Review Shape Readwise Save Payload to ensure the payload uses https://weekly-insights.local/${timestamp} and should_clean_html is set to true.

Step 6: Post Insights to Readwise

Send the formatted insight article back to Readwise.

Open Post Insights to Readwise and set URL to https://readwise.io/api/v3/save/ with Method POST.
Set JSON Body to {{ $json }} and enable Send Body with Specify Body set to json.
Set Authentication to genericCredentialType and Generic Auth Type to httpHeaderAuth. Credential Required: Connect your httpHeaderAuth credentials.

Step 7: Test and Activate Your Workflow

Validate the full flow and turn on the weekly schedule.

Click Execute Workflow using Manual Execution Trigger to run a full test.
Confirm that Retrieve Articles and Retrieve Highlights return items, Produce Weekly Insights outputs text, and Post Insights to Readwise returns a success response.
Check Readwise for a new article titled like Weekly Reading Insights - YYYY-MM-DD with formatted HTML content.
Toggle the workflow to Active to allow Weekly Schedule Trigger to run automatically.

🔒

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Common Gotchas

Readwise credentials can expire or you may be missing header auth details. If requests fail, check the two HTTP Request nodes first and confirm your Readwise API token is still valid.
If you’re using Wait nodes or external rendering, processing times vary. Bump up the wait duration if downstream nodes fail on empty responses.
OpenRouter model outputs depend heavily on your prompt. Default prompts in AI nodes are generic, so add your tone, audience, and “what to produce” instructions early or you’ll be editing outputs forever.

Frequently Asked Questions

How long does it take to set up this Readwise OpenRouter insights automation?

About 5–10 minutes if you already have your API keys.

Do I need coding skills to automate weekly insights publishing?

No coding required. You’ll connect Readwise and OpenRouter, then test-run the workflow once.

Is n8n free to use for this Readwise OpenRouter insights workflow?

Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in OpenRouter model/API usage costs, which depend on the model you pick and how much text you send each week.

Where can I host n8n to run this automation?

Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.

Can I customize this Readwise OpenRouter insights workflow for a different brief format?

Yes, and honestly that’s where the value is. Update the “Build Insight Prompt” code node to ask for the structure you want (for example: 3 themes, 5 contrarian takes, 10 post hooks, and 3 newsletter sections). You can also swap the “LLM Chat Model” node to use a different OpenRouter model if you want shorter answers or a more analytical tone. Some teams add a “Send Email” node after the markdown is generated so the brief lands in an inbox too.

Why is my Readwise connection failing in this workflow?

Usually it’s an expired or incorrect Readwise API token in one of the HTTP Request nodes. Double-check both “Retrieve Articles” and “Retrieve Highlights,” then confirm you set up header authentication the way Readwise expects. If it still fails, look for rate limiting or a changed endpoint in the Readwise Reader API.

How many highlights can this Readwise OpenRouter insights automation handle?

A typical week of highlights is fine, but huge weeks may require trimming before sending to the model. On n8n Cloud, your limit is mainly monthly executions, while on self-hosting there’s no execution cap (it depends on your server). Practically, the bottleneck is prompt size and model cost, so many people keep it to “last 7 days” like this workflow does.

Is this Readwise OpenRouter insights automation better than using Zapier or Make?

Often, yes, because this workflow needs multiple fetches, filtering, matching highlights to articles, and a structured AI prompt build. n8n is more comfortable with that kind of branching logic, and self-hosting means you’re not paying per task as aggressively once volume grows. Zapier or Make can still work if you keep it simple, but you’ll usually end up fighting data shaping steps. If you’re unsure, Talk to an automation expert and describe what “weekly insights” should look like for your brand. You’ll get a clear recommendation quickly.

This workflow makes your reading habit pay you back every week. Set it up once, skim the brief on Monday, and spend your writing time on ideas that are already proven to matter to you.

Need Help Setting This Up?

Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.

Lisa Granqvist

Workflow Automation Expert

Expert in workflow automation and no-code tools.

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"id": "37db4560-d8c7-4a06-bf29-dbc1adde58c2",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.parent_id }}",
"rightValue": "={{ $('Filter Read Progress >10%').item.json.id }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "f7a94120-67a5-4301-8e49-df99417a72df",
"name": "Produce Weekly Insights",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
540,
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],
"parameters": {
"text": "={{ $json.prompt }}",
"batching": [],
"promptType": "define"
},
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{
"id": "2d6c8414-6c61-4e3b-99b9-1f22f467242d",
"name": "LLM Chat Model",
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"position": [
560,
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],
"parameters": {
"model": "google/gemini-2.5-pro",
"options": []
},
"credentials": {
"openRouterApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1
},
{
"id": "51c9c8d4-64ff-4b46-bcea-58247340c540",
"name": "Render Insights as HTML",
"type": "n8n-nodes-base.markdown",
"position": [
740,
515
],
"parameters": {
"mode": "markdownToHtml",
"options": {
"tables": true,
"simplifiedAutoLink": true,
"openLinksInNewWindow": true
},
"markdown": "={{ $json.text }}"
},
"typeVersion": 1
},
{
"id": "52d42ad7-9c68-4c78-aa47-3c950b6583c4",
"name": "Shape Readwise Save Payload",
"type": "n8n-nodes-base.code",
"position": [
920,
495
],
"parameters": {
"jsCode": "  const insights = $input.first().json.data;\n  const timestamp = new Date().toISOString().split('T')[0];\n\n  return [{\n    json: {\n      url: `https://weekly-insights.local/${timestamp}`,\n      html: insights, // Just convert newlines to <br>\n      title: `Weekly Reading Insights - ${timestamp}`,\n      author: \"AI Reading Analyst\",\n      summary: \"AI-generated insights from weekly reading highlights\",\n      should_clean_html: true, // Let Readwise clean/format it\n      location: \"new\",\n      category: \"article\"\n    }\n  }];"
},
"typeVersion": 2
},
{
"id": "8f07a901-ea39-415d-99e7-4bce43ba36c7",
"name": "Post Insights to Readwise",
"type": "n8n-nodes-base.httpRequest",
"position": [
1110,
515
],
"parameters": {
"url": "https://readwise.io/api/v3/save/",
"method": "POST",
"options": [],
"jsonBody": "={{ $json }}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 4.2
},
{
"id": "d5f335d3-8610-454d-aa0d-ad27b75ab59a",
"name": "Weekly Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
905,
300
],
"parameters": {
"rule": {
"interval": [
{
"field": "cronExpression",
"expression": "0 9 * * 1"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "0f971879-dc47-477a-9342-f7f102220953",
"name": "Manual Execution Trigger",
"type": "n8n-nodes-base.manualTrigger",
"position": [
920,
150
],
"parameters": [],
"typeVersion": 1
}
],
"pinData": [],
"connections": {
"LLM Chat Model": {
"ai_languageModel": [
[
{
"node": "Produce Weekly Insights",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Retrieve Articles": {
"main": [
[
{
"node": "Separate Article Items",
"type": "main",
"index": 0
}
]
]
},
"Weekly Schedule Trigger": {
"main": [
[
{
"node": "Retrieve Articles",
"type": "main",
"index": 0
}
]
]
},
"Build Insight Prompt": {
"main": [
[
{
"node": "Produce Weekly Insights",
"type": "main",
"index": 0
}
]
]
},
"Retrieve Highlights": {
"main": [
[
{
"node": "Separate Highlight Items",
"type": "main",
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}
]
]
},
"Separate Article Items": {
"main": [
[
{
"node": "Filter Read Progress >10%",
"type": "main",
"index": 0
}
]
]
},
"Render Insights as HTML": {
"main": [
[
{
"node": "Shape Readwise Save Payload",
"type": "main",
"index": 0
}
]
]
},
"Produce Weekly Insights": {
"main": [
[
{
"node": "Render Insights as HTML",
"type": "main",
"index": 0
}
]
]
},
"Separate Highlight Items": {
"main": [
[
{
"node": "Match Highlights to Article",
"type": "main",
"index": 0
}
]
]
},
"Filter Read Progress >10%": {
"main": [
[
{
"node": "Retrieve Highlights",
"type": "main",
"index": 0
}
]
]
},
"Match Highlights to Article": {
"main": [
[
{
"node": "Combine Articles and Highlights",
"type": "main",
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}
]
]
},
"Combine Articles and Highlights": {
"main": [
[
{
"node": "Build Insight Prompt",
"type": "main",
"index": 0
}
]
]
},
"Shape Readwise Save Payload": {
"main": [
[
{
"node": "Post Insights to Readwise",
"type": "main",
"index": 0
}
]
]
},
"Manual Execution Trigger": {
"main": [
[
{
"node": "Retrieve Articles",
"type": "main",
"index": 0
}
]
]
}
},
"versionId": ""
}