{
  "meta": {
    "instanceId": "d4d7965840e96e50a3e02959a8487c692901dfa8d5cc294134442c67ce1622d3",
    "templateCredsSetupCompleted": true
  },
  "name": "HN Who is Hiring Scrape",
  "tags": [],
  "nodes": [
    {
      "id": "f7cdb3ee-9bb0-4006-829a-d4ce797191d5",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -20,
        -220
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "0475e25d-9bf4-450d-abd3-a04608a438a4",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        60,
        -620
      ],
      "parameters": {
        "width": 460,
        "height": 340,
        "content": "## Go to https://hn.algolia.com\n- filter by \"Ask HN: Who is hiring?\" (important with quotes for full match)\n- sort by date\n- Chrome Network Tab > find API call > click \"Copy as cURL\"\n- n8n HTTP node -> import cURL and paste \n- I've set the API key as Header Auth so you will have to do the above yourself to make this work"
      },
      "typeVersion": 1
    },
    {
      "id": "a686852b-ff84-430b-92bb-ce02a6808e19",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        400,
        -220
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "hits"
      },
      "typeVersion": 1
    },
    {
      "id": "cdaaa738-d561-4fa0-b2c7-8ea9e6778eb1",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1260,
        -620
      ],
      "parameters": {
        "width": 500,
        "height": 340,
        "content": "## Go to HN API \nhttps://github.com/HackerNews/API\n\nWe'll need following endpoints: \n- For example, a story: https://hacker-news.firebaseio.com/v0/item/8863.json?print=pretty\n- comment: https://hacker-news.firebaseio.com/v0/item/2921983.json?print=pretty\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "4f353598-9e32-4be4-9e7b-c89cc05305fd",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2680,
        -20
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "Fbb2ueT0XP5xMRme",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "5bd0d7cc-497a-497c-aa4c-589d9ceeca14",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        2840,
        -20
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"company\": {\n \"type\": [\n \"string\",\n null\n ],\n \"description\": \"Name of the hiring company\"\n },\n \"title\": {\n \"type\": [\n \"string\",\n null\n ],\n \"description\": \"Job title/role being advertised\"\n },\n \"location\": {\n \"type\": [\n \"string\",\n null\n ],\n \"description\": \"Work location including remote/hybrid status\"\n },\n \"type\": {\n \"type\": [\n \"string\",\n null\n ],\n \"enum\": [\n \"FULL_TIME\",\n \"PART_TIME\",\n \"CONTRACT\",\n \"INTERNSHIP\",\n \"FREELANCE\",\n null\n ],\n \"description\": \"Employment type (Full-time, Contract, etc)\"\n },\n \"work_location\": {\n \"type\": [\n \"string\",\n null\n ],\n \"enum\": [\n \"REMOTE\",\n \"HYBRID\",\n \"ON_SITE\",\n null\n ],\n \"description\": \"Work arrangement type\"\n },\n \"salary\": {\n \"type\": [\n \"string\",\n null\n ],\n \"description\": \"Compensation details if provided\"\n },\n \"description\": {\n \"type\": [\n \"string\",\n null\n ],\n \"description\": \"Main job description text including requirements and team info\"\n },\n \"apply_url\": {\n \"type\": [\n \"string\",\n null\n ],\n \"description\": \"Direct application/job posting URL\"\n },\n \"company_url\": {\n \"type\": [\n \"string\",\n null\n ],\n \"description\": \"Company website or careers page\"\n }\n }\n}\n"
      },
      "typeVersion": 1.2
    },
    {
      "id": "b84ca004-6f3b-4577-8910-61b8584b161d",
      "name": "Search for Who is hiring posts",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        200,
        -220
      ],
      "parameters": {
        "url": "https://uj5wyc0l7x-dsn.algolia.net/1/indexes/Item_dev_sort_date/query",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n \"query\": \"\\\"Ask HN: Who is hiring\\\"\",\n \"analyticsTags\": [\n \"web\"\n ],\n \"page\": 0,\n \"hitsPerPage\": 30,\n \"minWordSizefor1Typo\": 4,\n \"minWordSizefor2Typos\": 8,\n \"advancedSyntax\": true,\n \"ignorePlurals\": false,\n \"clickAnalytics\": true,\n \"minProximity\": 7,\n \"numericFilters\": [],\n \"tagFilters\": [\n [\n \"story\"\n ],\n []\n ],\n \"typoTolerance\": \"min\",\n \"queryType\": \"prefixNone\",\n \"restrictSearchableAttributes\": [\n \"title\",\n \"comment_text\",\n \"url\",\n \"story_text\",\n \"author\"\n ],\n \"getRankingInfo\": true\n}",
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "x-algolia-agent",
              "value": "Algolia for JavaScript (4.13.1); Browser (lite)"
            },
            {
              "name": "x-algolia-application-id",
              "value": "UJ5WYC0L7X"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Accept",
              "value": "*/*"
            },
            {
              "name": "Accept-Language",
              "value": "en-GB,en-US;q=0.9,en;q=0.8"
            },
            {
              "name": "Connection",
              "value": "keep-alive"
            },
            {
              "name": "DNT",
              "value": "1"
            },
            {
              "name": "Origin",
              "value": "https://hn.algolia.com"
            },
            {
              "name": "Referer",
              "value": "https://hn.algolia.com/"
            },
            {
              "name": "Sec-Fetch-Dest",
              "value": "empty"
            },
            {
              "name": "Sec-Fetch-Mode",
              "value": "cors"
            },
            {
              "name": "Sec-Fetch-Site",
              "value": "cross-site"
            },
            {
              "name": "User-Agent",
              "value": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36"
            },
            {
              "name": "sec-ch-ua",
              "value": "\"Chromium\";v=\"133\", \"Not(A:Brand\";v=\"99\""
            },
            {
              "name": "sec-ch-ua-mobile",
              "value": "?0"
            },
            {
              "name": "sec-ch-ua-platform",
              "value": "\"macOS\""
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "oVEXp2ZbYCXypMVz",
          "name": "Algolia Auth"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "205e66f6-cd6b-4cfd-a6ec-2226c35ddaac",
      "name": "Get relevant data",
      "type": "n8n-nodes-base.set",
      "position": [
        700,
        -220
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "73dd2325-faa7-4650-bd78-5fc97cc202de",
              "name": "title",
              "type": "string",
              "value": "={{ $json.title }}"
            },
            {
              "id": "44918eac-4510-440e-9ac0-bf14d2b2f3af",
              "name": "createdAt",
              "type": "string",
              "value": "={{ $json.created_at }}"
            },
            {
              "id": "00eb6f09-2c22-411c-949c-886b2d95b6eb",
              "name": "updatedAt",
              "type": "string",
              "value": "={{ $json.updated_at }}"
            },
            {
              "id": "2b4f9da6-f60e-46e0-ba9d-3242fa955a55",
              "name": "storyId",
              "type": "string",
              "value": "={{ $json.story_id }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "16bc5628-8a29-4eac-8be9-b4e9da802e1e",
      "name": "Get latest post",
      "type": "n8n-nodes-base.filter",
      "position": [
        900,
        -220
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "d7dd7175-2a50-45aa-bd3e-4c248c9193c4",
              "operator": {
                "type": "dateTime",
                "operation": "after"
              },
              "leftValue": "={{ $json.createdAt }}",
              "rightValue": "={{$now.minus({days: 30})}} "
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "92e1ef74-5ae1-4195-840b-115184db464f",
      "name": "Split out children (jobs)",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1460,
        -220
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "kids"
      },
      "typeVersion": 1
    },
    {
      "id": "d0836aae-b98a-497f-a6f7-0ad563c262a0",
      "name": "Trun into structured data",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        2600,
        -220
      ],
      "parameters": {
        "text": "={{ $json.cleaned_text }}",
        "messages": {
          "messageValues": [
            {
              "message": "Extract the JSON data"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    },
    {
      "id": "fd818a93-627c-435d-91ba-5d759d5a9004",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2600,
        -620
      ],
      "parameters": {
        "width": 840,
        "height": 340,
        "content": "## Data Structure\n\nWe use Openai GPT-4o-mini to transform the raw data in a unified data structure. Feel free to change this.\n\n```json\n{\n \"company\": \"Name of the hiring company\",\n \"title\": \"Job title/role being advertised\",\n \"location\": \"Work location including remote/hybrid status\",\n \"type\": \"Employment type (Full-time, Contract, etc)\",\n \"salary\": \"Compensation details if provided\",\n \"description\": \"Main job description text including requirements and team info\",\n \"apply_url\": \"Direct application/job posting URL\",\n \"company_url\": \"Company website or careers page\"\n}\n```"
      },
      "typeVersion": 1
    },
    {
      "id": "b70c5578-5b81-467a-8ac2-65374e4e52f3",
      "name": "Extract text",
      "type": "n8n-nodes-base.set",
      "position": [
        1860,
        -220
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "6affa370-56ce-4ad8-8534-8f753fdf07fc",
              "name": "text",
              "type": "string",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "acb68d88-9417-42e9-9bcc-7c2fa95c4afd",
      "name": "Clean text",
      "type": "n8n-nodes-base.code",
      "position": [
        2060,
        -220
      ],
      "parameters": {
        "jsCode": "// In a Function node in n8n\nconst inputData = $input.all();\n\nfunction cleanAllPosts(data) {\n return data.map(item => {\n try {\n // Check if item exists and has the expected structure\n if (!item || typeof item !== 'object') {\n return { cleaned_text: '', error: 'Invalid item structure' };\n }\n\n // Get the text, with multiple fallbacks\n let text = '';\n if (typeof item === 'string') {\n text = item;\n } else if (item.json && item.json.text) {\n text = item.json.text;\n } else if (typeof item.json === 'string') {\n text = item.json;\n } else {\n text = JSON.stringify(item);\n }\n\n // Make sure text is a string\n text = String(text);\n \n // Perform the cleaning operations\n try {\n text = text.replace(/&#x2F;/g, '/');\n text = text.replace(/&#x27;/g, \"'\");\n text = text.replace(/&\\w+;/g, ' ');\n text = text.replace(/<[^>]*>/g, '');\n text = text.replace(/\\|\\s*/g, '| ');\n text = text.replace(/\\s+/g, ' ');\n text = text.replace(/\\s*(https?:\\/\\/[^\\s]+)\\s*/g, '\\n$1\\n');\n text = text.replace(/\\n{3,}/g, '\\n\\n');\n text = text.trim();\n } catch (cleaningError) {\n console.log('Error during text cleaning:', cleaningError);\n // Return original text if cleaning fails\n return { cleaned_text: text, warning: 'Partial cleaning applied' };\n }\n\n return { cleaned_text: text };\n \n } catch (error) {\n console.log('Error processing item:', error);\n return { \n cleaned_text: '', \n error: `Processing error: ${error.message}`,\n original: item\n };\n }\n }).filter(result => result.cleaned_text || result.error); \n}\n\ntry {\n return cleanAllPosts(inputData);\n} catch (error) {\n console.log('Fatal error:', error);\n return [{ \n cleaned_text: '', \n error: `Fatal error: ${error.message}`,\n input: inputData \n }];\n}\n"
      },
      "typeVersion": 2
    },
    {
      "id": "a0727b55-565d-47c0-9ab5-0f001f4b9941",
      "name": "Limit for testing (optional)",
      "type": "n8n-nodes-base.limit",
      "position": [
        2280,
        -220
      ],
      "parameters": {
        "maxItems": 5
      },
      "typeVersion": 1
    },
    {
      "id": "650baf5e-c2ac-443d-8a2b-6df89717186f",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        580,
        -620
      ],
      "parameters": {
        "width": 540,
        "height": 340,
        "content": "## Clean the result \n\n```json\n{\n\"title\": \"Ask HN: Who is hiring? (February 2025)\",\n\"createdAt\": \"2025-02-03T16:00:43Z\",\n\"updatedAt\": \"2025-02-17T08:35:44Z\",\n\"storyId\": \"42919502\"\n},\n{\n\"title\": \"Ask HN: Who is hiring? (January 2025)\",\n\"createdAt\": \"2025-01-02T16:00:09Z\",\n\"updatedAt\": \"2025-02-13T00:03:24Z\",\n\"storyId\": \"42575537\"\n},\n```"
      },
      "typeVersion": 1
    },
    {
      "id": "1ca5c39f-f21d-455a-b63a-702e7e3ba02b",
      "name": "Write results to airtable",
      "type": "n8n-nodes-base.airtable",
      "position": [
        3040,
        -220
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appM2JWvA5AstsGdn",
          "cachedResultUrl": "https://airtable.com/appM2JWvA5AstsGdn",
          "cachedResultName": "HN Who is hiring?"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblGvcOjqbliwM7AS",
          "cachedResultUrl": "https://airtable.com/appM2JWvA5AstsGdn/tblGvcOjqbliwM7AS",
          "cachedResultName": "Table 1"
        },
        "columns": {
          "value": {
            "type": "={{ $json.output.type }}",
            "title": "={{ $json.output.title }}",
            "salary": "={{ $json.output.salary }}",
            "company": "={{ $json.output.company }}",
            "location": "={{ $json.output.location }}",
            "apply_url": "={{ $json.output.apply_url }}",
            "company_url": "={{ $json.output.company_url }}",
            "description": "={{ $json.output.description }}"
          },
          "schema": [
            {
              "id": "title",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "title",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "company",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "company",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "location",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "location",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "type",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "type",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "salary",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "salary",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "description",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "description",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "apply_url",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "apply_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "company_url",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "company_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "posted_date",
              "type": "string",
              "display": true,
              "removed": true,
              "readOnly": false,
              "required": false,
              "displayName": "posted_date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "create"
      },
      "credentials": {
        "airtableTokenApi": {
          "id": "IudXLNj7CDuc5M5a",
          "name": "Airtable Personal Access Token account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "d71fa024-86a0-4f74-b033-1f755574080c",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -520,
        -300
      ],
      "parameters": {
        "width": 380,
        "height": 500,
        "content": "## Hacker News - Who is Hiring Scrape\n\nIn this template we setup a scraper for the monthly HN Who is Hiring post. This way we can scrape the data and transform it to a common data strcutre.\n\nFirst we use the [Algolia Search](https://hn.algolia.com/) provided by hackernews to drill down the results.\n\nWe can use the official [Hacker News API](https://github.com/HackerNews/API\n) to get the post data and also all the replies!\n\nThis will obviously work for any kind of post on hacker news! Get creative 😃\n\nAll you need is an Openai Account to structure the text data and an Airtable Account (or similar) to write the results to a list.\n\nCopy my base https://airtable.com/appM2JWvA5AstsGdn/shrAuo78cJt5C2laR"
      },
      "typeVersion": 1
    },
    {
      "id": "7466fb0c-9f0c-4adf-a6de-b2cf09032719",
      "name": "HI API: Get the individual job post",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1660,
        -220
      ],
      "parameters": {
        "url": "=https://hacker-news.firebaseio.com/v0/item/{{ $json.kids }}.json?print=pretty",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "184abccf-5838-49bf-9922-e0300c6b145e",
      "name": "HN API: Get Main Post",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1260,
        -220
      ],
      "parameters": {
        "url": "=https://hacker-news.firebaseio.com/v0/item/{{ $json.storyId }}.json?print=pretty",
        "options": {}
      },
      "typeVersion": 4.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "connections": {
    "Split Out": {
      "main": [
        [
          {
            "node": "Get relevant data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Clean text": {
      "main": [
        [
          {
            "node": "Limit for testing (optional)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract text": {
      "main": [
        [
          {
            "node": "Clean text",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get latest post": {
      "main": [
        [
          {
            "node": "HN API: Get Main Post",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get relevant data": {
      "main": [
        [
          {
            "node": "Get latest post",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Trun into structured data",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "HN API: Get Main Post": {
      "main": [
        [
          {
            "node": "Split out children (jobs)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Trun into structured data",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Split out children (jobs)": {
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    "When clicking ‘Test workflow’": {
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            "node": "Extract text",
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