Extraction d'offres d'emploi HN

Avancé

Ceci est unHR, AIworkflow d'automatisation du domainecontenant 20 nœuds.Utilise principalement des nœuds comme Set, Code, Limit, Filter, Airtable, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Extraction et analyse des offres d'emploi sur Hacker News

Prérequis
  • Clé API Airtable
  • Peut nécessiter les informations d'identification d'authentification de l'API cible
  • Clé API OpenAI
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
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  "name": "HN Who is Hiring Scrape",
  "tags": [],
  "nodes": [
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        "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"
      },
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        "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"
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      "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
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    {
      "id": "b84ca004-6f3b-4577-8910-61b8584b161d",
      "name": "Rechercher les posts 'Who is hiring'",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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        -220
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      "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",
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          "parameters": [
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              "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": "*/*"
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              "value": "en-GB,en-US;q=0.9,en;q=0.8"
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              "value": "keep-alive"
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              "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"
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              "name": "sec-ch-ua",
              "value": "\"Chromium\";v=\"133\", \"Not(A:Brand\";v=\"99\""
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              "value": "\"macOS\""
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              "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": "={{ $json.story_id }}"
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    {
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              "operator": {
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              "rightValue": "={{$now.minus({days: 30})}} "
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      "parameters": {
        "text": "={{ $json.cleaned_text }}",
        "messages": {
          "messageValues": [
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              "message": "Extract the JSON data"
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        "promptType": "define",
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        "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```"
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      "type": "n8n-nodes-base.code",
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      "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"
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        "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```"
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          "value": "appM2JWvA5AstsGdn",
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              "removed": false,
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              "displayName": "company_url",
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        "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"
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      "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 : Obtenir le post principal",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "=https://hacker-news.firebaseio.com/v0/item/{{ $json.storyId }}.json?print=pretty",
        "options": {}
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Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Ressources Humaines, Intelligence Artificielle

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds20
Catégorie2
Types de nœuds12
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Julian Kaiser

Julian Kaiser

@jksr

Full Stack Developer turned AI & Automation Engineer, implementing intelligent solutions with custom code, LLMs & n8n. Use my link to book a consultation on automating your business processes.

Liens externes
Voir sur n8n.io

Partager ce workflow

Catégories

Catégories: 34