Bardeen vs n8n

Bardeen is an AI automation tool that runs inside a Chrome extension and targets go-to-market teams. Instead of connecting APIs on a server, it acts on the pages you have open: scraping lists from LinkedIn, Sales Navigator, directories or any website, enriching leads, writing results to Google Sheets, Notion, HubSpot or Salesforce, and drafting personalized outreach with AI.

Automations are built as playbooks, either from a large template library or by describing the task in plain language and letting the AI agent assemble the steps. Scrapers can run on a single page, across paginated lists or in the background on a schedule. Pricing is credit-based: a small free allowance of credits for testing, then Basic and Premium plans that add monthly credits, and Enterprise with custom bulk credits and premium support. Bardeen repositioned toward GTM teams in recent years, and its paid tiers rose accordingly.

Bardeen suits SDRs, recruiters, founders and marketers who repeat the same research and copy-paste steps every day. It is not a backend integration platform: workflows depend on the browser and on page layouts, so scrapers can break when a site changes, and automating LinkedIn carries account and policy risk. For server-side workflows Zapier and Make are better; for list building with a contact database Apollo or Clay are stronger. Bardeen wins when the data lives on web pages you already browse.

n8n is a workflow automation platform from Berlin, founded in 2019 by Jan Oberhauser. It uses a node-based visual editor where each step is a node, and it lets you mix ready-made integrations with custom JavaScript or Python whenever the visual tools are not enough. Its source is available under a fair-code license, so companies can self-host it for free with unlimited workflows and executions, which is its biggest advantage over Zapier and Make.

n8n ships with hundreds of integrations plus generic HTTP, webhook, database and code nodes that reach almost any API. It has become a favorite for AI automation: agent nodes built on LangChain, chat triggers, vector stores, memory and tool calling let teams build chatbots, RAG pipelines and agents that act on business data, using models from OpenAI, Anthropic, Google, Mistral or local models. The cloud edition is priced by workflow executions, counting a full run rather than each step, and Enterprise adds SSO, environments with git, log streaming and scaling with queue mode.

n8n fits technical teams, agencies and operations engineers who want automation they can control, inspect and host themselves, including in Turkey or the EU for data residency. It requires more technical comfort than Zapier, self-hosting means owning updates and uptime, and some integrations are less polished. Zapier remains easiest for non-technical users, Make offers a visual middle ground, Pipedream suits developers who prefer code-first workflows, and Windmill is stronger for script-based internal tools.