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HN Who is Hiring Scrape

20 nodes · manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter

Engine
n8n
Nodes
20
Trigger
scheduled/triggered
Source file
1880_Splitout_Code_Automation_Webhook.json

Workflow flow

IntegrationsManualSplit OutLmChatOpenAiOutputParserStructuredHTTPFilterChainLlmLimitAirtable@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.outputParserStructuredSet+2 more
100%
TRIGGER

When clicking ‘Test workflow’

Manual

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

Search for Who is hiring posts

HTTP

Split Out

Split Out

Get relevant data

Set

Get latest post

Filter

HN API: Get Main Post

HTTP

Split out children (jobs)

Split Out

HI API: Get the individual job post

HTTP

Extract text

Set

Clean text

Code

Limit for testing (optional)

Limit

Trun into structured data

@n8n/n8n-nodes-langchain.chainLlm

Write results to airtable

Airtable

15 steps · flows top to bottom, branches left to right

Browse by integration

manualsplitOutlmChatOpenAioutputParserStructuredhttpRequestfilterchainLlmlimitairtable
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

HN Who is Hiring Scrape (20-node n8n automation, manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter, chainLlm, limit) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

This n8n workflow, "HN Who is Hiring Scrape", wires together manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter, chainLlm, limit in 20 nodes. 20 nodes · manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 20-node flow from scratch.
  • Benchmark it against your current manual integration to spot missing steps or redundant nodes.
  • Import "HN Who is Hiring Scrape" into n8n, reconnect credentials for manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter, chainLlm, limit, and run the same automation in your own workspace.
  • Use it as a starting template when wiring manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter, chainLlm, limit — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "HN Who is Hiring Scrape" exposes 20 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter, chainLlm, limit. Open each node after import to map credentials to your own manual and splitOut accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "HN Who is Hiring Scrape" JSON into a plain-English runbook, node by node. It can flag where manual rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter, chainLlm, limit. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "HN Who is Hiring Scrape" — extract manual IDs and secrets into environment variables without changing the 20-node structure.

Frequently asked questions

How do I import "HN Who is Hiring Scrape" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "HN Who is Hiring Scrape" use?
It uses: manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter, chainLlm, limit. The flow diagram above shows how each service connects across the 20 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own manual and splitOut credentials in n8n after import.
What trigger type does "HN Who is Hiring Scrape" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "HN Who is Hiring Scrape" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for manual, splitOut, lmChatOpenAi, outputParserStructured, httpRequest, filter, chainLlm, limit.

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