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"0" }, { "to": "8f1020f5-850e-4a66-85c1-e77c2f54da17", "from": "5587035c-0262-4ffc-9435-89744d01ba8f", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "72f28ca9-c882-479d-a4d2-53b21ec9b89b", "name": "Structured Output Parser", "type": "passthrough", "params": { "mode": "noOp", "autoFix": true, "jsonSchemaExample": "[ { \"text\": \"Senior Developer\\n\\n🏢 Company: TechCorp\\n💰 Salary: $150k\\n\\nAbout: Leading the backend team.\\n\\n🛠 Stack: Java, AWS\\n\\n🔗 Apply Here\", \"parse_mode\": \"HTML\", \"disable_web_page_preview\": true } ]" }, "position": [ 2128, 720 ] }, { "id": "1cc72c30-636a-4364-835e-046612127be4", "name": "Google Gemini", "type": "llm", "params": { "options": {}, "provider": "google", "modelName": "models/gemini-2.5-pro" }, "position": [ 2000, 736 ] }, { "id": "2919d33c-7fef-4311-b8d3-3e746183807a", "name": "Loop Over Items", "type": "passthrough", "params": { "mode": "noOp", "options": {} }, "position": [ 2752, 512 ] }, { "id": "5ff7a89e-0eb9-4497-9aa8-6bb1fda7919b", "name": "Fix Output", "type": "llm", "params": { "options": {}, "provider": "google", "modelName": "models/gemini-2.5-pro" }, "position": [ 2128, 848 ] }, { "id": "10f08ee5-52b6-4dba-900d-310f2abae1f5", "name": "Scrape Jobs Data (SimplyHired)", "type": "integration", "params": { "type": "WORKFLOW", "service": "browseract", "timeout": 7200, "operation": "run", "workflowId": "68979670614019565", "__originalType": "n8n-nodes-browseract.browserAct", "workflowConfig": { "value": {}, "schema": [ { "id": "input-Simplyhired", "type": "string", "display": true, "removed": true, "required": false, "description": "If left blank, the default value defined in BrowserAct will be used.", "displayName": "Simplyhired", "defaultMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "input-Simplyhired" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "open_incognito_mode": false }, "position": [ 1056, 432 ] }, { "id": "002c749a-d8e6-4a42-a309-396fc8b5a680", "name": "Scrape Jobs Data (Remotive)", "type": "integration", "params": { "type": "WORKFLOW", "service": "browseract", "timeout": 7200, "operation": "run", "workflowId": "68986628591810026", "__originalType": "n8n-nodes-browseract.browserAct", "workflowConfig": { "value": {}, "schema": [ { "id": "input-Remotive", "type": "string", "display": true, "removed": true, "required": false, "description": "If left blank, the default value defined in BrowserAct will be used.", "displayName": "Remotive", "defaultMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "input-Remotive" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "open_incognito_mode": false }, "position": [ 1056, 592 ] }, { "id": "280ecc28-bcf7-41ea-a404-c59a269d9dfb", "name": "Splitting Remotive Data", "type": "code", "params": { "jsCode": "// Get the JSON string using the exact path provided by the user.\nconst jsonString = $input.first().json.output.string;\n\nlet parsedData;\n\n// Check if the string exists before attempting to parse\nif (!jsonString) {\n // Return an empty array or throw an error if no string is found\n // Throwing an error is usually better to stop the workflow if data is missing.\n throw new Error(\"Input string is empty or missing at the specified path: $input.first().json.output.string\");\n}\n\ntry {\n // 1. Parse the JSON string into a JavaScript array of objects\n parsedData = JSON.parse(jsonString);\n} catch (error) {\n // Handle JSON parsing errors (e.g., if the string is malformed)\n throw new Error(`Failed to parse JSON string: ${error.message}`);\n}\n\n// 2. Ensure the parsed data is an array\nif (!Array.isArray(parsedData)) {\n throw new Error('Parsed data is not an array. It cannot be split into multiple items.');\n}\n\n// 3. Map the array of objects into the n8n item format { json: object }\n// Each element in this array will be treated as a new item by n8n, achieving the split.\nconst outputItems = parsedData.map(item => ({\n json: item,\n}));\n\n// 4. Return the new array of items\nreturn outputItems;" }, "position": [ 1280, 592 ] }, { "id": "ad7c8b11-d548-45fd-803f-eb8dee119d6e", "name": "Splitting SimplyHired Data", "type": "code", "params": { "jsCode": "// Get the JSON string using the exact path provided by the user.\nconst jsonString = $input.first().json.output.string;\n\nlet parsedData;\n\n// Check if the string exists before attempting to parse\nif (!jsonString) {\n // Return an empty array or throw an error if no string is found\n // Throwing an error is usually better to stop the workflow if data is missing.\n throw new Error(\"Input string is empty or missing at the specified path: $input.first().json.output.string\");\n}\n\ntry {\n // 1. Parse the JSON string into a JavaScript array of objects\n parsedData = JSON.parse(jsonString);\n} catch (error) {\n // Handle JSON parsing errors (e.g., if the string is malformed)\n throw new Error(`Failed to parse JSON string: ${error.message}`);\n}\n\n// 2. Ensure the parsed data is an array\nif (!Array.isArray(parsedData)) {\n throw new Error('Parsed data is not an array. It cannot be split into multiple items.');\n}\n\n// 3. Map the array of objects into the n8n item format { json: object }\n// Each element in this array will be treated as a new item by n8n, achieving the split.\nconst outputItems = parsedData.map(item => ({\n json: item,\n}));\n\n// 4. Return the new array of items\nreturn outputItems;" }, "position": [ 1280, 432 ] }, { "id": "41a99712-6ddf-4a9a-a650-7d60900e74f6", "name": "Wait for Both Path Outputs", "type": "merge", "params": {}, "position": [ 1488, 512 ] }, { "id": "175503ea-1a18-44ed-aa1d-c2d8fa347850", "name": "Merge Branch Outputs", "type": "passthrough", "params": { "mode": "aggregate", "options": {}, "aggregate": "aggregateAllItemData" }, "position": [ 1840, 512 ] }, { "id": "5587035c-0262-4ffc-9435-89744d01ba8f", "name": "Analyze Job Data & Generate Response", "type": "llm", "params": { "text": "={{ $json.data }}", "prompt": "={{ $json.data }}", "options": { "systemMessage": "You are an expert Job Curator and Social Media Manager for a high-quality professional Telegram channel. Your task is to process a raw JSON array of job listings, filter out low-quality/spam entries, and format the valid jobs into a Telegram-ready JSON response.\n\n1. Filtering Rules (Strictly Apply These):\n\nDeduplicate: If a job appears multiple times (e.g., once with just a link and once with a description), only keep the version with the full_job_description. Discard the others.\n\nRemove Low Quality: Discard entries that have no full_job_description or empty descriptions.\n\nRemove Spam/Gig-Work: Discard roles that appear to be low-tier \"gig\" work, content mills, or surveys (e.g., \"IAPWE\", \"Omni Interactions\", \"Student Representatives\", or generic \"Freelance Writer\" roles with no clear company identity).\n\nSalary Threshold: If a salary is listed as under $20/hour, discard it (unless it is a clear internship at a reputable tech company).\n\n2. Formatting Rules:\n\nOutput Structure: You must output a single JSON array of objects. Each object must have the keys: text, parse_mode, and disable_web_page_preview.\n\nParse Mode: Set parse_mode to \"HTML\".\n\nAllowed Tags: Use only the following HTML tags supported by Telegram: , , , . Do NOT use Markdown (**, __, [ ]).\n\nContent Layout:\n\nHeadline: Job Title\n\nMeta: 🏢 Company: [Name] | 💰 Salary: [Value] | 📍 Location: [Value]\n\nSummary: A 1-2 sentence professional summary of the role.\n\nTags: 🛠 Stack/Skills: [List 3-5 key skills]\n\nCTA: 🔗 Apply Here\n\n3. Output Constraints:\n\nNo Markdown Blocks: Do not output code blocks (like ```json). Output raw text starting with [ and ending with ].\n\nJSON Validity: Ensure the output is valid, parsable JSON. Escape all special characters (like quotes) inside the JSON strings correctly.\n\nExample Output Format: [ { \"text\": \"Senior Developer\\n\\n🏢 Company: TechCorp\\n💰 Salary: $150k\\n\\nAbout: Leading the backend team.\\n\\n🛠 Stack: Java, AWS\\n\\n🔗 Apply Here\", \"parse_mode\": \"HTML\", \"disable_web_page_preview\": true } ]" }, "provider": "openai", "promptType": "define", "approximated": true, "systemMessage": "You are an expert Job Curator and Social Media Manager for a high-quality professional Telegram channel. Your task is to process a raw JSON array of job listings, filter out low-quality/spam entries, and format the valid jobs into a Telegram-ready JSON response.\n\n1. Filtering Rules (Strictly Apply These):\n\nDeduplicate: If a job appears multiple times (e.g., once with just a link and once with a description), only keep the version with the full_job_description. Discard the others.\n\nRemove Low Quality: Discard entries that have no full_job_description or empty descriptions.\n\nRemove Spam/Gig-Work: Discard roles that appear to be low-tier \"gig\" work, content mills, or surveys (e.g., \"IAPWE\", \"Omni Interactions\", \"Student Representatives\", or generic \"Freelance Writer\" roles with no clear company identity).\n\nSalary Threshold: If a salary is listed as under $20/hour, discard it (unless it is a clear internship at a reputable tech company).\n\n2. Formatting Rules:\n\nOutput Structure: You must output a single JSON array of objects. Each object must have the keys: text, parse_mode, and disable_web_page_preview.\n\nParse Mode: Set parse_mode to \"HTML\".\n\nAllowed Tags: Use only the following HTML tags supported by Telegram: , , , . Do NOT use Markdown (**, __, [ ]).\n\nContent Layout:\n\nHeadline: Job Title\n\nMeta: 🏢 Company: [Name] | 💰 Salary: [Value] | 📍 Location: [Value]\n\nSummary: A 1-2 sentence professional summary of the role.\n\nTags: 🛠 Stack/Skills: [List 3-5 key skills]\n\nCTA: 🔗 Apply Here\n\n3. Output Constraints:\n\nNo Markdown Blocks: Do not output code blocks (like ```json). Output raw text starting with [ and ending with ].\n\nJSON Validity: Ensure the output is valid, parsable JSON. Escape all special characters (like quotes) inside the JSON strings correctly.\n\nExample Output Format: [ { \"text\": \"Senior Developer\\n\\n🏢 Company: TechCorp\\n💰 Salary: $150k\\n\\nAbout: Leading the backend team.\\n\\n🛠 Stack: Java, AWS\\n\\n🔗 Apply Here\", \"parse_mode\": \"HTML\", \"disable_web_page_preview\": true } ]", "hasOutputParser": true }, "position": [ 2000, 512 ] }, { "id": "8f1020f5-850e-4a66-85c1-e77c2f54da17", "name": "Split Generated Job Items", "type": "code", "params": { "jsCode": "// 1. Get the data using the path from your first message\n// We access .output directly because your data shows it as an array, not a string inside .string\nconst rawData = $input.first().json.output;\n\nlet parsedData;\n\n// Check if the data exists before proceeding\nif (!rawData) {\n // Throw an error to stop the workflow if data is missing\n throw new Error(\"Input is empty or missing at the specified path: $input.first().json.output\");\n}\n\n// 2. Handle the data format\n// If n8n has already parsed it as an array (standard behavior), we use it directly.\n// If it happens to be a string (edge case), we parse it.\nif (typeof rawData === 'string') {\n try {\n parsedData = JSON.parse(rawData);\n } catch (error) {\n throw new Error(`Failed to parse JSON string: ${error.message}`);\n }\n} else {\n parsedData = rawData;\n}\n\n// 3. Ensure the data is an array\nif (!Array.isArray(parsedData)) {\n throw new Error('The data at json.output is not an array. It cannot be split into multiple items.');\n}\n\n// 4. Map the array of objects into the n8n item format { json: object }\n// Each element in this array will be treated as a new item by n8n\nconst outputItems = parsedData.map(item => ({\n json: item,\n}));\n\n// 5. Return the new array of items\nreturn outputItems;" }, "position": [ 2544, 512 ] }, { "id": "80104868-b954-43f9-ad18-38642658474f", "name": "Avoid Rate Limits", "type": "passthrough", "params": { "mode": "noOp" }, "position": [ 2960, 480 ] }, { "id": "c5c416dd-e13c-42b7-9aaf-b6b612da92cb", "name": "Send Travel List to User Channel", "type": "integration", "params": { "text": "={{ $json.text }}", "chatId": "parameters.chatId==@Channel ID (Use Channel ID or Chat ID)", "service": "telegram", "operation": "read", "additionalFields": { "parse_mode": "={{ $json.parse_mode }}", "disable_web_page_preview": "={{ $json.disable_web_page_preview }}" } }, "position": [ 3168, 512 ] }, { "id": "e9b06a2a-1ae8-42d4-8922-abadece65997", "name": "Schedule Daily", "type": "trigger", "params": { "kind": "n8n-nodes-base.scheduleTrigger", "rule": { "interval": [ {} ] } }, "position": [ 832, 512 ] } ] }

Auto-post curated remote jobs to Telegram with BrowserAct and Gemini