HTML Table to Markdown (Agent Skill)3 nodes
HTML Table to Markdown (Agent Skill)
An agent runs a bundled Python skill that converts HTML tables into clean Markdown tables using only the standard library.
Workflow at a glance
The full canvas, before you import it
Click any node to see its config.
#Skills#Python#HTML#Markdown#Document Ops#Agent
Click a node to select it — same as the Heym editor; the panel shows its settings.
3 nodes · Free & source-available
HTML Table to Markdown (Agent Skill)
A Heym Agent Skill that does a fiddly job reliably. Paste HTML that contains one or more tables and the agent calls a bundled Python skill that parses the markup and returns clean Markdown tables.
What this workflow does
- htmlInput holds the HTML to convert
- tableConverterAgent calls the bundled html_table_to_markdown skill
- The skill parses every table with the standard-library HTML parser and emits Markdown
- markdownResult returns the converted tables
Why a skill
Parsing HTML in pure Python is exact and avoids the model mangling rows or columns. No external dependencies or keys.
Setup
Open tableConverterAgent, pick an LLM credential, paste your HTML, and run. Multiple tables are returned separated by blank lines.
How to import this template
- 1Click Import → Copy JSON on this page.
- 2Open your Heym and navigate to a workflow canvas.
- 3PressCmd+V/Ctrl+V— nodes appear instantly.
- 4Add your API keys in the node config panels and click Run.
More workflow templates
Discover more automations
- Document OpsJina Web FetcherFetch clean, LLM-ready text from any URL using the Jina Reader API.
- Document OpsPDF / DOCX Translation AgentTranslate the full text of any uploaded document using an AI agent.
- Document OpsBatch URL FetcherIterate over a JSON array of URLs with the Loop node, fetch each via HTTP, and merge all responses into one payload.
- Document OpsRAG Document IngestChunk and embed a document into a Qdrant vector store so it can be retrieved later by the RAG Search node.
- Document OpsRAG Q&A AgentSearch your Qdrant vector store for relevant context, then answer with an LLM — grounded in your own documents.
- Document OpsDrive Share Link MailerFetch a remote file into Drive, return the download link immediately, and email the same link asynchronously.
- Document OpsChat with Drive DocsAsk questions about your Google Drive PDF files. An agent lists your Drive, reads the file you need, extracts its text, and answers in plain language.
- Customer SupportHITL Support Reply AgentDraft a customer-facing support response, pause for human approval, then continue with the reviewed reply.
- Marketing & SEOReddit Subreddit GET Tool CallLet an Agent call a no-key HTTP GET tool that fetches hot posts from a subreddit JSON feed.
- AI AgentsBatch LLM Status TrackerSend an array through the OpenAI Batch API, branch on live status updates, and collect the final per-item results.
- Customer SupportIMAP Support Inbox TriageWatch a shared mailbox, summarize incoming support email, and route urgent messages to Slack.
- Dev & IT OpsCursor Post NotifierMonitor the Cursor blog on a schedule and Slack-notify your team when a new post goes live.