Daily Language Learning via HackerNews & LingvaNex

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "id": "7",
  "name": "Daily Language Learning",
  "nodes": [
    {
      "name": "Daily trigger",
      "type": "n8n-nodes-base.cron",
      "position": [
        620,
        750
      ],
      "parameters": {
        "triggerTimes": {
          "item": [
            {
              "hour": 8
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "name": "Get top 3 articles",
      "type": "n8n-nodes-base.hackerNews",
      "position": [
        820,
        750
      ],
      "parameters": {
        "limit": 3,
        "resource": "all",
        "additionalFields": {
          "tags": [
            "front_page"
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "name": "Extract words",
      "type": "n8n-nodes-base.function",
      "position": [
        1020,
        750
      ],
      "parameters": {
        "functionCode": "const words = [];\nconst regex = /\\d/g;\nconst newItems = [];\n\n// Splits titles into words and removes numbers\n// using regular expressions\n\nfor(let i=0; i < items.length; i++) {\n  let split_titles = []; \n  split_titles = items[i].json.title.split(' ');\n  for(let j=0; j < split_titles.length; j++) {\n    if(regex.test(split_titles[j])) {\n      continue;\n    } else {\n      words.push(split_titles[j]);\n    }\n  }\n}\n\n// Removes all duplicate words by converting the\n// array into a set and then back into an array\n\nconst uniqueWords = [...new Set(words)];\n\n// Transform the array to the data structure expected\n// by n8n\n\nfor(let k=0; k < uniqueWords.length; k++) {\n  newItems.push({json: { words: uniqueWords[k] }});\n}\n\nreturn newItems;"
      },
      "typeVersion": 1
    },
    {
      "name": "Translate",
      "type": "n8n-nodes-base.lingvaNex",
      "position": [
        1220,
        750
      ],
      "parameters": {
        "text": "={{$node[\"Extract words\"].json[\"words\"]}}",
        "options": {},
        "translateTo": "de_DE"
      },
      "credentials": {
        "lingvaNexApi": "<your credential>"
      },
      "typeVersion": 1
    },
    {
      "name": "Filter data ",
      "type": "n8n-nodes-base.set",
      "position": [
        1420,
        750
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "English word",
              "value": "={{$node[\"Translate\"].json[\"source\"]}}"
            },
            {
              "name": "Translated word",
              "value": "={{$node[\"Translate\"].json[\"result\"]}}"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "name": "Save today's words",
      "type": "n8n-nodes-base.airtable",
      "position": [
        1620,
        850
      ],
      "parameters": {
        "table": "Table 1",
        "options": {},
        "operation": "append",
        "application": "app4Y6qcCHIO1cYNB"
      },
      "credentials": {
        "airtableApi": "<your credential>"
      },
      "typeVersion": 1
    },
    {
      "name": "Craft message",
      "type": "n8n-nodes-base.function",
      "position": [
        1620,
        650
      ],
      "parameters": {
        "functionCode": "const number_of_words = 5;\nconst words = [];\n\n// Crafts the words to be sent in en_word : translated_word format\n// and adds them to an array\n\nfor(let i=0; i < number_of_words; i++) {\n  words.push(items[i].json['English word'] + ' : ' + items[i].json['Translated word']);\n}\n\n// Takes all the items from the array and converts them into a comma\n// separated string\n\nconst words_of_the_day = words.join(', ');\n\nreturn [{json: {words_of_the_day: words_of_the_day}}];"
      },
      "typeVersion": 1
    },
    {
      "name": "Send SMS",
      "type": "n8n-nodes-base.vonage",
      "position": [
        1820,
        650
      ],
      "parameters": {
        "to": "+4915225152610",
        "from": "Vonage APIs",
        "message": "=Good morning, here are your words for today\n{{$node[\"Craft message\"].json[\"words_of_the_day\"]}}",
        "additionalFields": {}
      },
      "credentials": {
        "vonageApi": "<your credential>"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {},
  "connections": {
    "Translate": {
      "main": [
        [
          {
            "node": "Filter data ",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Filter data ": {
      "main": [
        [
          {
            "node": "Craft message",
            "type": "main",
            "index": 0
          },
          {
            "node": "Save today's words",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Craft message": {
      "main": [
        [
          {
            "node": "Send SMS",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Daily trigger": {
      "main": [
        [
          {
            "node": "Get top 3 articles",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract words": {
      "main": [
        [
          {
            "node": "Translate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get top 3 articles": {
      "main": [
        [
          {
            "node": "Extract words",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• airtableApi
• lingvaNexApi
• vonageApi

About this workflow

Daily Language Learning. Uses hackerNews, lingvaNex, airtable, vonage. Scheduled trigger; 8 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

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