Http Manual Automation Webhook – Web Scraping & Data Extraction | Complete n8n Webhook Guide (Intermediate)
This article provides a complete, practical walkthrough of the Http Manual Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.
What This Agent Does
This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.
It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.
Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.
How It Works
The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.
Third‑Party Integrations
- HTTP Request
- Webhook
Import and Use in n8n
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
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Show n8n JSON
Title: Automating Blog Syndication to Medium with n8n: A Step-by-Step Guide Meta Description: Learn how to automate blog content extraction from a WordPress website and publish it to Medium using n8n. This workflow helps streamline content republishing and improves reach with minimal effort. Keywords: n8n blog automation, WordPress to Medium, Medium integration, content republishing, blog syndication, n8n workflow, HTML extraction, HTTP request automation, blog content scraper, Medium API Third-Party APIs Used: - Medium API - n8n HTTP Request nodes (for fetching content from blogs) Article: Automating Content Syndication: Publish WordPress Blogs to Medium Using n8n Keeping up with the demands of cross-platform publishing can be a constant struggle for content creators. If you're managing a blog on WordPress and want to extend its reach via Medium, doing this manually for every post might become overwhelming. That’s where n8n, an open-source workflow automation tool, steps in to save the day. In this article, we break down an n8n no-code workflow that extracts blog content from a WordPress site and republishes it to Medium—completely automatically. This automation reduces manual work and provides a consistent publishing process to grow your blog’s visibility. Let’s explore what this automation does, how it works, and why it’s a game changer for content syndication. Overview of the Workflow This n8n workflow is designed with the goal of fetching the latest posts from a WordPress-powered blog (in this case, https://mailsafi.com/blog), extracting relevant content, and publishing each post to Medium using Medium’s API. Here’s how it works in a nutshell: 1. Fetch the blog page. 2. Extract titles and links to individual blog posts. 3. Limit and sort the results. 4. Extract full blog content. 5. Publish it to Medium. 6. Repeat this for the latest entries. Here’s a detailed breakdown of how each step is implemented. Step 1: Trigger the Workflow The process starts with a Manual Trigger node titled “When clicking 'Execute Workflow'.” This allows users to test the automation before scaling it, making sure it runs only when executed manually. Ideal for semi-automated content review before publishing. Step 2: Pull the Main Blog Page An HTTP Request node connects to "https://mailsafi.com/blog" and fetches the main HTML structure. This contains all the blog listings and the links to individual articles. Step 3: Extract Post Titles and Links The next node, “HTML1,” parses the fetched HTML content. Using CSS selectors, it scrapes: - Titles of blog posts using `.entry-title > a` - Links to full articles using `.lae-read-more > a[href]` This results in two arrays: one for post titles and one for URLs. Step 4: Pair the Data To make the titles and links manageable, we use the “Item Lists” node to split and pair each title with its corresponding link. These are further controlled with “Item Lists1,” which limits results to the latest five blog entries—ideal for batch publishing without overloading. Step 5: Batch Processing A “Loop Over Items” (SplitInBatches) node feeds the title-link pairs one by one into the content extraction and publishing loop—this enables the processing of each blog post individually. Step 6: Fetch Each Blog Post’s Content Each link is used by the “HTTP Request1” node to fetch the full HTML of the specific blog post page. This sets the table for targeted data scraping. Step 7: Extract Blog Content Another “HTML” node parses the individual blog page and selects: - The blog post title with the selector h2.single-post-title. - The introduction/first paragraph. - The entire HTML content block using div.kiwi-highlighter-content-area. This gives us all the info needed to populate a Medium post programmatically. Step 8: Publish to Medium Using the Medium Integration node, the system then: - Sets the title as extracted. - Formats and sends the HTML body as the article content. - Adds SEO-friendly tags like "Email Hosting," "Email," and "Email Marketing." - Publishes the post to Medium as public, without alerting followers. …and that’s it. With the click of a button, up to five of your latest WordPress blog posts can now be automatically republished to Medium. Why This Workflow Matters - Saves Time: By automating repetitive tasks like copying content and formatting articles on Medium, this flow frees you up for more important creative work. - Error Reduction: Manual copying can introduce formatting problems or skipped content—automation ensures consistency and reliability. - Scale Content Strategy: Want to syndicate 5, 10, or 50 posts? Just extend the workflow's limits; the pipeline will handle it all the same. - SEO Booster: Medium's domain authority can help boost your content’s search engine visibility, especially when properly tagged and formatted. Customization Possibilities You can modify this workflow in a number of ways: - Add filters by date to avoid reposting old content. - Include a moderation step before publishing. - Add analytics tracking (e.g., via UTM links). - Send results to Slack or email after execution as a report. Conclusion This n8n workflow showcases how powerful automation can be, especially in content marketing and routine publishing tasks. By extracting HTML content from a WordPress blog and sending it directly to Medium, this process delivers immediate time savings and improves the reach of your articles across platforms. For anyone managing a blog, this setup creates a plug-and-play solution to ensure your content gets the attention it deserves—without doing all the hard work yourself. Whether you're a marketing team looking to streamline syndication, or a solo blogger trying to maximize reach and consistency, this n8n workflow offers a powerful, flexible, and no-code approach to automation. Ready to supercharge your content? Give this workflow a try and publish smarter, not harder! — Written by an AI assistant powered by automation and caffeine ☕
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- Enable the workflow to run on schedule, webhook, or triggers as configured.
Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.
Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.
Why Automate This with AI Agents
AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.
n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.
Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.
Best Practices
- Credentials: restrict scopes and rotate tokens regularly.
- Resilience: configure retries, timeouts, and backoff for API nodes.
- Data Quality: validate inputs; normalize fields early to reduce downstream branching.
- Performance: batch records and paginate for large datasets.
- Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
- Security: avoid sensitive data in logs; use environment variables and n8n credentials.
FAQs
Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.
How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.
Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.
Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.