使用正则表达式和 AI 发现隐藏的网站 API 端点
高级
这是一个Engineering, AI领域的自动化工作流，包含 58 个节点。主要使用 If, Set, Html, Sort, Merge 等节点，结合人工智能技术实现智能自动化。 使用正则表达式和人工智能发现隐藏的网站API端点
前置要求
- •可能需要目标 API 的认证凭证
使用的节点 (58)
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "c5KEf1x6qMsdFPbT",
"meta": {
"instanceId": "26b813dbc9e6a5d4d0e9118e36933b8ffd29262f560a7abf71d40736214ae089"
},
"name": "使用正则表达式和 AI 发现隐藏的网站 API 端点",
"tags": [],
"nodes": [
{
"id": "cf0b4351-ccd5-409f-bc96-7ac1ae645b47",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
3080,
1820
],
"parameters": {
"color": 4,
"width": 800,
"height": 520,
"content": "# 验证工具：AI 代理自我评估并迭代改进"
},
"typeVersion": 1
},
{
"id": "d80057fc-912b-4aa1-97df-3ad8e93e168e",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
520
],
"parameters": {
"color": 6,
"width": 1540,
"height": 420,
"content": "# 1. 使用预定义正则表达式提取 API 端点"
},
"typeVersion": 1
},
{
"id": "ba232bb7-8b9f-4ad4-bc10-25c997728c8a",
"name": "自动修复输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
3320,
1500
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "a6d848f2-c1d4-40b2-8f69-55425c6d9843",
"name": "开始 API 发现",
"type": "n8n-nodes-base.manualTrigger",
"position": [
0,
980
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1003b136-9567-4498-8113-0ad1726bc41e",
"name": "配置",
"type": "n8n-nodes-base.set",
"position": [
180,
980
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d1dde61e-fa30-4c24-a9d0-cd539ee08334",
"name": "URL",
"type": "string",
"value": "<URL of the website i.e. https://example.com>"
},
{
"id": "3536b6ab-3fbc-4a88-81fe-d47920d37a40",
"name": "User-Agent",
"type": "string",
"value": "Mozilla/5.0 (compatible; API-Discovery-Bot/1.0)"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "62735481-3571-4df2-8c3d-afe20a1703b8",
"name": "获取网站 HTML",
"type": "n8n-nodes-base.httpRequest",
"position": [
360,
980
],
"parameters": {
"url": "={{ $json.URL }}",
"options": {
"timeout": 30000,
"redirect": {
"redirect": {}
},
"response": {
"response": {
"neverError": true
}
},
"allowUnauthorizedCerts": true
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "User-Agent",
"value": "={{ $json['User-Agent'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f72069a0-28ee-42a8-9400-f64601beb609",
"name": "提取 JS 文件的 URL",
"type": "n8n-nodes-base.html",
"position": [
540,
980
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "JS URLs",
"attribute": "src",
"cssSelector": "script[src]",
"returnArray": true,
"returnValue": "attribute"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d1d12617-779b-4afa-b9fb-a9a98870c60f",
"name": "分离 JS 文件的 URL",
"type": "n8n-nodes-base.splitOut",
"position": [
720,
980
],
"parameters": {
"options": {},
"fieldToSplitOut": "JS URLs"
},
"typeVersion": 1
},
{
"id": "794b8871-2fc9-4e46-8eee-6579cbcad8c8",
"name": "保留相关的 JS 文件",
"type": "n8n-nodes-base.filter",
"position": [
900,
980
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "78e816c0-78ae-4a5c-a72e-a41ddb20919f",
"operator": {
"type": "boolean",
"operation": "equals"
},
"leftValue": "={{ $json['JS URLs'].startsWith('/') || $json['JS URLs'].startsWith('./') }}",
"rightValue": true
},
{
"id": "46442f81-14e6-4acc-bc90-b49571748a00",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json['JS URLs'] }}",
"rightValue": "yimg"
},
{
"id": "7953c6e1-ecec-4590-9620-b61d5a37e311",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json['JS URLs'] }}",
"rightValue": "={{ ($('Configuration').first().json.URL).extractDomain() }}"
},
{
"id": "cdac1d00-ee7b-4f70-af95-8fa2f5c8c491",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json['JS URLs'] }}",
"rightValue": "/build/"
},
{
"id": "831e432e-eeca-490d-aed0-735b1130f337",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json['JS URLs'] }}",
"rightValue": "/dist/"
},
{
"id": "dec40baf-b2a3-4192-9f2a-3f5eeb0b692c",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json['JS URLs'] }}",
"rightValue": "bundle"
},
{
"id": "edc77e96-d193-4339-a0b3-1bcf17744b7f",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json['JS URLs'].extractDomain() }}",
"rightValue": "cdn"
},
{
"id": "72295f0a-703f-4050-8d07-9d712db1025e",
"operator": {
"type": "string",
"operation": "startsWith"
},
"leftValue": "={{ $json['JS URLs'] }}",
"rightValue": "/dist"
},
{
"id": "948da288-7c23-4b62-90e1-7a38ebaed16d",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json['JS URLs'] }}",
"rightValue": "/frontend/"
},
{
"id": "89c4bfe0-2fa1-4135-ac16-503db39325e9",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json['JS URLs'] }}",
"rightValue": "/packages/"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "d3aeef5a-98ad-49cc-abc0-6fa8d8f73783",
"name": "获取 JS 内容",
"type": "n8n-nodes-base.httpRequest",
"position": [
1080,
980
],
"parameters": {
"url": "={{ !!$json['JS URLs'].extractDomain() ? $json['JS URLs'].replace(/^\\/\\//, 'https://') : ($('Configuration').first().json.URL+'/'+$json['JS URLs']).replaceAll(/(?<!:)\\/\\//g,'/').replaceAll(/(?<!:)\\/\\//g,'/') }}",
"options": {
"batching": {
"batch": {
"batchSize": 1
}
},
"response": {
"response": {
"neverError": true
}
}
}
},
"typeVersion": 4.2
},
{
"id": "30de7d2a-86f7-4de4-92f6-cc9387432407",
"name": "提取 API 端点",
"type": "n8n-nodes-base.set",
"position": [
1260,
980
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d7f393c9-7c3c-4cd1-a6f4-d0fdb2ea4876",
"name": "Endpoints",
"type": "array",
"value": "={{ [...$json.data.replace(/\\\\u002[Ff]/g, '/').matchAll(/(?:[\"'`])((?:https?:\\/\\/[^\\/\\s\"'`]+)?\\/[^\\s\"'`]*?)(?:[\"'`])/g)].map(m => m[1].split('?')[0].replace(/\\/\\*+$/, '')).filter(url => url.includes('/') && url.length > 2 && !url.match(/\\.(js|css|png|jpg|gif|svg|ico)$/i)) }}"
},
{
"id": "b8fbc2ff-9d45-41f4-b9bd-902d056ad76b",
"name": "JS",
"type": "boolean",
"value": true
},
{
"id": "063fa794-c1e3-41df-81ec-ff3d5eecabc5",
"name": "Source",
"type": "string",
"value": "={{ $('Split URLs of JS files').item.json['JS URLs'] }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "da398951-fda2-40d3-a38e-e83ae9a9dfeb",
"name": "检查端点数量",
"type": "n8n-nodes-base.if",
"position": [
1440,
980
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9ec79d99-e2c4-47f3-9920-07c00ae10f71",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.Endpoints.length }}",
"rightValue": 4
}
]
}
},
"typeVersion": 2.2
},
{
"id": "2a4e5d2e-fcac-4f29-b042-0e6287b636c5",
"name": "分离端点",
"type": "n8n-nodes-base.splitOut",
"position": [
1640,
980
],
"parameters": {
"include": "selectedOtherFields",
"options": {},
"fieldToSplitOut": "Endpoints",
"fieldsToInclude": "JS, Source"
},
"typeVersion": 1
},
{
"id": "53ebcbf7-1ba8-4a98-8a9e-ff73537c4ebe",
"name": "移除重复项",
"type": "n8n-nodes-base.removeDuplicates",
"position": [
1800,
980
],
"parameters": {
"options": {}
},
"typeVersion": 2
},
{
"id": "316b5b26-a96a-427f-9d20-8391a1c24bb5",
"name": "AI 端点分析",
"type": "n8n-nodes-base.httpRequest",
"position": [
1820,
1160
],
"parameters": {
"url": "https://openrouter.ai/api/v1/chat/completions",
"method": "POST",
"options": {
"timeout": 1000000,
"batching": {
"batch": {
"batchSize": 1,
"batchInterval": 30000
}
}
},
"jsonBody": "={\n \"model\": \"google/gemini-2.5-pro-preview\",\n \"temperature\": 0.1,\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"Here is a JS file of the webseite. Please help me to discover API endpoints of the webseite. Look thouroughly at the provided JS code, identify all API endpoints and create a short summary for each one. Specify the methods for each API endpoint.\"\n },{\n \"role\": \"user\",\n \"content\": {{ JSON.stringify($json.data) }}\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "openRouterApi"
},
"credentials": {
"openRouterApi": {
"id": "r1DY63sclH2QsDBK",
"name": "OpenRouter account"
}
},
"retryOnFail": true,
"typeVersion": 4.2,
"waitBetweenTries": 5000
},
{
"id": "0449852b-015a-4e2e-b096-5dceb3c64b6c",
"name": "添加源元数据",
"type": "n8n-nodes-base.set",
"position": [
2000,
1160
],
"parameters": {
"options": {
"stripBinary": true
},
"assignments": {
"assignments": [
{
"id": "6c670b9e-b9be-4c25-a0fa-8cd8cdacc622",
"name": "Source",
"type": "string",
"value": "={{ $('Reference for Source Metadata').item.json.Source }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "c4ef28ed-ff34-41c1-a237-40f1c3a1efba",
"name": "源元数据参考",
"type": "n8n-nodes-base.noOp",
"position": [
1640,
1160
],
"parameters": {},
"typeVersion": 1
},
{
"id": "286e733f-a42d-4c87-b253-cff48170e91a",
"name": "处理每个分析的文件",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1640,
1480
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "ac9fca2a-6d2e-44ae-b2be-e9aad7f89e9b",
"name": "格式化 AI 结果",
"type": "n8n-nodes-base.set",
"position": [
1820,
1480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a787bf2a-85c0-4e93-944d-3acf2d82c1e6",
"name": "Filename",
"type": "string",
"value": "=file{{$node[\"Process Each Analyzed File\"].context[\"currentRunIndex\"].toString().padStart(2, '0');}}.txt"
},
{
"id": "51056f59-befb-4b30-ad3d-41ec0b7b621c",
"name": "Source",
"type": "string",
"value": "={{ $json.Source }}"
},
{
"id": "128467f6-c064-4d6f-9e2f-a427e9dfc73e",
"name": "choices[0].message.content",
"type": "string",
"value": "={{ $json?.choices[0]?.message?.content || $json?.choices[0]?.message?.reasoning }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "682bab5d-036d-40c2-aff7-1d844697517f",
"name": "准备端点文件",
"type": "n8n-nodes-base.convertToFile",
"position": [
2000,
1480
],
"parameters": {
"options": {
"fileName": "={{ $json.Filename }}"
},
"operation": "toText",
"sourceProperty": "choices[0].message.content",
"binaryPropertyName": "=data"
},
"typeVersion": 1.1,
"alwaysOutputData": true
},
{
"id": "fd93d79e-6477-4cf3-af4a-9d5ddecc3c93",
"name": "保存端点文件",
"type": "n8n-nodes-base.readWriteFile",
"position": [
2180,
1480
],
"parameters": {
"options": {},
"fileName": "={{ $binary.data.fileName }}",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "5d04fe81-982c-4e07-826e-48f0afbabde6",
"name": "传递文件名，无二进制数据",
"type": "n8n-nodes-base.set",
"position": [
2000,
1340
],
"parameters": {
"options": {
"stripBinary": true
},
"assignments": {
"assignments": []
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "019b4248-b5ae-4a66-ba55-e05046e0f0bb",
"name": "合并 AI 分析与文件名",
"type": "n8n-nodes-base.merge",
"position": [
2320,
1260
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "4988dbbb-b73b-409c-90cc-1902115ab760",
"name": "使用 AI 创建端点正则表达式",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
3280,
1260
],
"parameters": {
"text": "=Here is the file name: {{ $json.fileName }}\n\nHere is the report:\n~~~~\n{{ $json.choices[0].message.content }}\n~~~~",
"options": {
"maxIterations": 4,
"systemMessage": "You are a helpful assistant. You will receive a report with a description of a hidden API. Your task is to generate a regex in a form of n8n expression. This regex should ONLY extract a clean endpoint URL, mentioned in the source file. Use tool to check the validity of the expression. \n\nSEARCH FOR THESE PATTERNS:\n1. /api/ endpoints: '/api/users', '/api/v1/data'\n2. Versioned paths: '/v1/', '/v2/', '/v3/', '/v9/' \n3. Combined: '/api/v1/', '/api/v2/', '/api/v9/'\n4. Dynamic construction: '/api/' + version + '/users'\n5. Template literals: `/api/v${version}/data`\n6. Object properties: endpoints.v1.users, api.v2.messages\n\nHere is a regex which extracts endpoints from all report files. Use it as an example:\n\n{{ [...$json.data.replace(/\\\\u002[Ff]/g, '/').matchAll(/(?:[\"'`])((?:https?:\\/\\/[^\\/\\s\"'`]+)?\\/[^\\s\"'`]*?)(?:[\"'`])/g)].map(m => m[1].split('?')[0].replace(/\\/\\*+$/, '')).filter(url => url.includes('/') && url.length > 2 && !url.match(/\\.(js|css|png|jpg|gif|svg|ico)$/i)) }}\n\nGenerate expressions for ALL report files. "
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.9
},
{
"id": "e976ce33-d4e7-48a7-9879-1679526cb9f3",
"name": "正则表达式生成 LLM",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
3160,
1560
],
"parameters": {
"model": "anthropic/claude-3.7-sonnet",
"options": {
"timeout": 3600000,
"temperature": 0.2
}
},
"credentials": {
"openRouterApi": {
"id": "r1DY63sclH2QsDBK",
"name": "OpenRouter account"
}
},
"typeVersion": 1
},
{
"id": "7d8618d9-7b3f-473e-99e9-932c89a0cf8b",
"name": "验证 LLM 正则表达式",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
3620,
1480
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}",
"cachedResultName": "={{ $workflow.id }}"
},
"workflowInputs": {
"value": {
"Filename": "={{ $fromAI('Filename', `from the user prompt`, 'string') }}",
"query.n8nexpression": "={{ $fromAI('n8nexpression', `valid n8n expression with regex. example: \\{\\{ $json.data.match([PUT REGEX HERE])\\}\\}`, 'string') }}"
},
"schema": [
{
"id": "query.n8nexpression",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "query.n8nexpression",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Filename",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Filename",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"query.n8nexpression"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.2
},
{
"id": "e794bc60-fef9-4c76-bb65-b8438eb80792",
"name": "解析 AI 正则表达式输出",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
3480,
1680
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"n8nexpression\": {\n\t\t\t\"type\": \"A valid regex to extract clean API endpoints. Example {{ $json.data.match([PUT REGEX HERE])}}\"\n\t\t}\n\t}\n}"
},
"typeVersion": 1.2
},
{
"id": "55aafb04-4cac-46d7-832e-91b99466f3c3",
"name": "正则表达式验证开始",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
3140,
2040
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "query.n8nexpression"
},
{
"name": "Filename"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "e30b3def-09c1-42c8-afbb-c1e0421146fb",
"name": "加载参考端点",
"type": "n8n-nodes-base.readWriteFile",
"position": [
3380,
1940
],
"parameters": {
"options": {},
"fileSelector": "={{ $json.Filename }}"
},
"typeVersion": 1
},
{
"id": "5ebb63c2-8a99-47f8-8ea4-87ff2aff674b",
"name": "提取端点文件文本",
"type": "n8n-nodes-base.extractFromFile",
"position": [
3600,
1940
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "47e010ce-38f0-4235-966d-ad604d0c079b",
"name": "合并正则表达式、文件名和参考端点",
"type": "n8n-nodes-base.merge",
"position": [
3400,
2160
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "dbb3f828-a4e0-44de-b712-f1e6b8593b9a",
"name": "评估 LLM 正则表达式",
"type": "n8n-nodes-base.set",
"position": [
3620,
2160
],
"parameters": {
"include": "except",
"options": {},
"assignments": {
"assignments": [
{
"id": "08f321e4-1012-48d8-ad6e-ed358cf36375",
"name": "Evaluation results",
"type": "string",
"value": "={{ $evaluateExpression($json['query.n8nexpression']) }}"
}
]
},
"excludeFields": "data",
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "3fac22e4-4c2d-4f3e-b644-09ef9904cd26",
"name": "合并初始 AI 分析与 AI 代理输出",
"type": "n8n-nodes-base.merge",
"position": [
3740,
1140
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "188a39a5-be2f-4646-9ff8-b35c676b909b",
"name": "为正则表达式提取准备数据",
"type": "n8n-nodes-base.set",
"position": [
3940,
1140
],
"parameters": {
"include": "selected",
"options": {},
"assignments": {
"assignments": [
{
"id": "dc5f209e-87e7-465f-90b6-2ca2272bb7d1",
"name": "data",
"type": "string",
"value": "={{ $json.choices[0].message.content }}"
},
{
"id": "232536f2-4081-43e8-8650-24d5d72a2187",
"name": "output.n8nexpression",
"type": "string",
"value": "={{ !!$json?.output?.n8nexpression ? $json?.output?.n8nexpression : \"\" }}"
}
]
},
"includeFields": "output, fileName, Source",
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "1c8926aa-98da-4868-b917-19bca53520a0",
"name": "执行 LLM 正则表达式",
"type": "n8n-nodes-base.set",
"position": [
4120,
1140
],
"parameters": {
"include": "selected",
"options": {
"ignoreConversionErrors": true
},
"assignments": {
"assignments": [
{
"id": "d7f393c9-7c3c-4cd1-a6f4-d0fdb2ea4876",
"name": "Endpoints",
"type": "array",
"value": "={{ $evaluateExpression($json.output.n8nexpression) }}"
},
{
"id": "fede8667-f874-4200-a3aa-0ce18cbc52ab",
"name": "LLM",
"type": "boolean",
"value": true
}
]
},
"includeFields": "fileName, Source",
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "fc403a6d-8e59-448e-8d31-f576dfacf53f",
"name": "分离 LLM 提取的端点",
"type": "n8n-nodes-base.splitOut",
"position": [
4300,
1140
],
"parameters": {
"include": "selectedOtherFields",
"options": {},
"fieldToSplitOut": "Endpoints",
"fieldsToInclude": "LLM, fileName, Source"
},
"typeVersion": 1
},
{
"id": "fe9477cf-7c65-461f-b053-a89b329361e1",
"name": "移除 LLM 端点重复项",
"type": "n8n-nodes-base.removeDuplicates",
"position": [
4500,
1140
],
"parameters": {
"options": {}
},
"typeVersion": 2
},
{
"id": "40a6dd8a-2955-40d9-845d-43035ec04364",
"name": "合并原始端点和 LLM 端点",
"type": "n8n-nodes-base.merge",
"position": [
5000,
1120
],
"parameters": {
"mode": "combine",
"options": {},
"joinMode": "keepEverything",
"fieldsToMatchString": "Endpoints, Source"
},
"typeVersion": 3.1
},
{
"id": "87919c16-e0c2-4c60-8e78-4aa9f23736fa",
"name": "最终合并并丰富文件名",
"type": "n8n-nodes-base.merge",
"position": [
5200,
1120
],
"parameters": {
"mode": "combine",
"options": {
"clashHandling": {
"values": {
"resolveClash": "preferLast",
"overrideEmpty": true
}
},
"multipleMatches": "all"
},
"joinMode": "enrichInput1",
"fieldsToMatchString": "Source"
},
"typeVersion": 3.1
},
{
"id": "c6039111-8f99-40d3-9d84-56674b53e74f",
"name": "排序合并的端点",
"type": "n8n-nodes-base.sort",
"position": [
5400,
1120
],
"parameters": {
"options": {},
"sortFieldsUi": {
"sortField": [
{
"fieldName": "fileName"
},
{
"fieldName": "Endpoints"
}
]
}
},
"typeVersion": 1
},
{
"id": "2fc96028-979c-4c52-85b1-fd4295e94354",
"name": "重新排序输出字段",
"type": "n8n-nodes-base.set",
"position": [
5580,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2d87ee3f-59cd-440f-9ad1-81af1db079c5",
"name": "Endpoints",
"type": "string",
"value": "={{ $json.Endpoints }}"
},
{
"id": "f6f00797-2d07-49f1-a2df-e044e82acd9a",
"name": "JS",
"type": "string",
"value": "={{ $json.JS }}"
},
{
"id": "8a5acf2e-f362-4811-95b6-f876dfc6c9d2",
"name": "Source",
"type": "string",
"value": "={{ $json.Source }}"
},
{
"id": "4bf6a24c-c61b-4085-b60c-b7c31a612604",
"name": "fileName",
"type": "string",
"value": "={{ $json.fileName }}"
},
{
"id": "d8f566c0-8d5e-486b-bfb8-a2c36d2271da",
"name": "LLM",
"type": "string",
"value": "={{ $json.LLM }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b44b2577-e937-43ea-bdd5-403070caa50e",
"name": "导出比较结果到 Excel",
"type": "n8n-nodes-base.convertToFile",
"position": [
5760,
1120
],
"parameters": {
"options": {
"fileName": "api_comparison.xlsx",
"headerRow": true
},
"operation": "xlsx"
},
"typeVersion": 1.1
},
{
"id": "86dbcf40-3b36-48b7-94e6-ab5267c30ad9",
"name": "为合并准备源和文件名",
"type": "n8n-nodes-base.removeDuplicates",
"position": [
5200,
1280
],
"parameters": {
"compare": "selectedFields",
"options": {
"removeOtherFields": true
},
"fieldsToCompare": "Source, fileName"
},
"typeVersion": 2
},
{
"id": "0664e7ae-bcd9-4dde-93db-1572bfaa894e",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 5,
"width": 1540,
"height": 520,
"content": "# 该工作流通过分析 JavaScript 代码，帮助自动发现不提供公共 API 的 Web 平台中隐藏的 API 端点。"
},
"typeVersion": 1
},
{
"id": "1cffa311-ac2c-4746-aa2c-0c5194776861",
"name": "便签5",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
760
],
"parameters": {
"width": 760,
"height": 140,
"content": "## 正则表达式提取所有类似 URL 的字符串，并进行 API 聚焦过滤"
},
"typeVersion": 1
},
{
"id": "ceaec55d-5626-4724-b4ec-d5738ad23b57",
"name": "便签 6",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
220
],
"parameters": {
"width": 760,
"height": 140,
"content": "## 该工作流最适合用于："
},
"typeVersion": 1
},
{
"id": "5dc66bb7-3645-4959-a52e-73658f5fa09e",
"name": "便签7",
"type": "n8n-nodes-base.stickyNote",
"position": [
780,
220
],
"parameters": {
"width": 740,
"height": 140,
"content": "## 该工作流可能不适合用于："
},
"typeVersion": 1
},
{
"id": "8ad235ab-fdb5-4eee-bc5e-b0be081244ef",
"name": "便签8",
"type": "n8n-nodes-base.stickyNote",
"position": [
500,
380
],
"parameters": {
"color": 3,
"width": 580,
"height": 120,
"content": "## 要求："
},
"typeVersion": 1
},
{
"id": "05119e49-411f-440a-9765-4ec8e229e8b2",
"name": "便签 9",
"type": "n8n-nodes-base.stickyNote",
"position": [
2140,
140
],
"parameters": {
"width": 1540,
"height": 800,
"content": "# 2. AI 支持的 API 端点提取"
},
"typeVersion": 1
},
{
"id": "7896a8f2-2914-432c-ac04-856f1555d569",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2160,
460
],
"parameters": {
"color": 5,
"width": 700,
"content": "## 阶段 2. LLM 正则表达式生成"
},
"typeVersion": 1
},
{
"id": "7b1d73c9-c7e1-4b75-8f1e-a08fcd76a577",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
2160,
640
],
"parameters": {
"color": 4,
"width": 700,
"height": 260,
"content": "## 阶段 3. LLM 正则表达式验证"
},
"typeVersion": 1
},
{
"id": "571233f3-0e25-455b-b7e6-3498721ef6d3",
"name": "便利贴 10",
"type": "n8n-nodes-base.stickyNote",
"position": [
2160,
240
],
"parameters": {
"color": 6,
"width": 700,
"height": 200,
"content": "## 阶段 1. 初始 AI 分析"
},
"typeVersion": 1
},
{
"id": "ea7dd713-a97d-4a29-86d6-885a3c24a5cf",
"name": "便利贴 11",
"type": "n8n-nodes-base.stickyNote",
"position": [
3060,
240
],
"parameters": {
"color": 3,
"width": 520,
"height": 180,
"content": "## 警告！"
},
"typeVersion": 1
},
{
"id": "98bc1708-1617-4104-a66b-dadfec2dc384",
"name": "便签13",
"type": "n8n-nodes-base.stickyNote",
"position": [
2900,
740
],
"parameters": {
"color": 6,
"width": 760,
"content": "## 阶段 4. LLM 正则表达式执行"
},
"typeVersion": 1
},
{
"id": "99853c4d-20d0-4465-ad6a-c97d1b83cb1e",
"name": "便签12",
"type": "n8n-nodes-base.stickyNote",
"position": [
5000,
760
],
"parameters": {
"color": 3,
"width": 860,
"height": 200,
"content": "# 最终比较"
},
"typeVersion": 1
},
{
"id": "1f0f991f-a180-4cc6-8ac7-bb7f16f6b755",
"name": "便签15",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
1160
],
"parameters": {
"color": 3,
"width": 1540,
"height": 500,
"content": "* https://www.sofaconcerts.org (**Knockout.js 框架**)。一个音乐预订平台，也是此工作流的起点。**Google AI Studio** 模型帮助定义了**最相关的端点**，用于自动化平台与 Slack 之间的预订通信：登录、Cookie 会话扩展、获取完整事件详情、事件 ID 和完整对话历史端点。一个用于将消息发送回平台的端点以及详细的请求格式必须使用**开发者工具控制台中的网络选项卡**进行探索。"
},
"typeVersion": 1
},
{
"id": "ff90a549-958d-4596-b9d1-c08ccb5ddefa",
"name": "便签14",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
1160
],
"parameters": {
"height": 80,
"content": "# 示例："
},
"typeVersion": 1
},
{
"id": "6e821dac-803f-4ca6-9100-8cd5e42e97f3",
"name": "端点不足",
"type": "n8n-nodes-base.noOp",
"position": [
1640,
800
],
"parameters": {},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "89d2f3db-d155-489b-bcf0-459a75fc4feb",
"connections": {
"Configuration": {
"main": [
[
{
"node": "Fetch Website HTML",
"type": "main",
"index": 0
}
]
]
},
"Split Endpoints": {
"main": [
[
{
"node": "Remove Duplicates",
"type": "main",
"index": 0
}
]
]
},
"Fetch JS Content": {
"main": [
[
{
"node": "Extract API Endpoints",
"type": "main",
"index": 0
}
]
]
},
"Execute LLM Regex": {
"main": [
[
{
"node": "Split LLM-extracted Endpoints",
"type": "main",
"index": 0
}
]
]
},
"Format AI Results": {
"main": [
[
{
"node": "Prepare Endpoints File(s)",
"type": "main",
"index": 0
}
]
]
},
"Remove Duplicates": {
"main": [
[
{
"node": "Merge Original And LLM Endpoints",
"type": "main",
"index": 0
}
]
]
},
"Fetch Website HTML": {
"main": [
[
{
"node": "Extract URLs of JS files",
"type": "main",
"index": 0
}
]
]
},
"Validate LLM Regex": {
"ai_tool": [
[
{
"node": "Create Endpoints Regex With AI",
"type": "ai_tool",
"index": 0
}
]
]
},
"Add Source Metadata": {
"main": [
[
{
"node": "Process Each Analyzed File",
"type": "main",
"index": 0
},
{
"node": "Merge AI Analysis & File Name",
"type": "main",
"index": 1
}
]
]
},
"Start API Discovery": {
"main": [
[
{
"node": "Configuration",
"type": "main",
"index": 0
}
]
]
},
"Regex Generation LLM": {
"ai_languageModel": [
[
{
"node": "Create Endpoints Regex With AI",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Auto-fixing Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Endpoints Analysis": {
"main": [
[
{
"node": "Add Source Metadata",
"type": "main",
"index": 0
}
]
]
},
"Check Endpoints Count": {
"main": [
[
{
"node": "Split Endpoints",
"type": "main",
"index": 0
},
{
"node": "Reference for Source Metadata",
"type": "main",
"index": 0
}
],
[
{
"node": "Insufficient Endpoints",
"type": "main",
"index": 0
}
]
]
},
"Extract API Endpoints": {
"main": [
[
{
"node": "Check Endpoints Count",
"type": "main",
"index": 0
}
]
]
},
"Parse AI Regex Output": {
"ai_outputParser": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Reorder Output Fields": {
"main": [
[
{
"node": "Export Comparison Results To Excel",
"type": "main",
"index": 0
}
]
]
},
"Sort Merged Endpoints": {
"main": [
[
{
"node": "Reorder Output Fields",
"type": "main",
"index": 0
}
]
]
},
"Keep Relevant JS Files": {
"main": [
[
{
"node": "Fetch JS Content",
"type": "main",
"index": 0
}
]
]
},
"Regex Validation Start": {
"main": [
[
{
"node": "Load Reference Endpoints",
"type": "main",
"index": 0
},
{
"node": "Merge Regex, File Name & Reference Endpoints",
"type": "main",
"index": 1
}
]
]
},
"Save Endpoints File(s)": {
"main": [
[
{
"node": "Process Each Analyzed File",
"type": "main",
"index": 0
}
]
]
},
"Split URLs of JS files": {
"main": [
[
{
"node": "Keep Relevant JS Files",
"type": "main",
"index": 0
}
]
]
},
"Extract URLs of JS files": {
"main": [
[
{
"node": "Split URLs of JS files",
"type": "main",
"index": 0
}
]
]
},
"Load Reference Endpoints": {
"main": [
[
{
"node": "Extract Endpoints File Text",
"type": "main",
"index": 0
}
]
]
},
"Auto-fixing Output Parser": {
"ai_outputParser": [
[
{
"node": "Create Endpoints Regex With AI",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Pass File Name, No Binary": {
"main": [
[
{
"node": "Merge AI Analysis & File Name",
"type": "main",
"index": 0
}
]
]
},
"Prepare Endpoints File(s)": {
"main": [
[
{
"node": "Save Endpoints File(s)",
"type": "main",
"index": 0
}
]
]
},
"Process Each Analyzed File": {
"main": [
[
{
"node": "Pass File Name, No Binary",
"type": "main",
"index": 0
}
],
[
{
"node": "Format AI Results",
"type": "main",
"index": 0
}
]
]
},
"Extract Endpoints File Text": {
"main": [
[
{
"node": "Merge Regex, File Name & Reference Endpoints",
"type": "main",
"index": 0
}
]
]
},
"Merge AI Analysis & File Name": {
"main": [
[
{
"node": "Merge Initial AI Analysis & AI Agent Output",
"type": "main",
"index": 0
},
{
"node": "Create Endpoints Regex With AI",
"type": "main",
"index": 0
}
]
]
},
"Reference for Source Metadata": {
"main": [
[
{
"node": "AI Endpoints Analysis",
"type": "main",
"index": 0
}
]
]
},
"Split LLM-extracted Endpoints": {
"main": [
[
{
"node": "Remove LLM Endpoints Duplicates",
"type": "main",
"index": 0
}
]
]
},
"Create Endpoints Regex With AI": {
"main": [
[
{
"node": "Merge Initial AI Analysis & AI Agent Output",
"type": "main",
"index": 1
}
]
]
},
"Remove LLM Endpoints Duplicates": {
"main": [
[
{
"node": "Merge Original And LLM Endpoints",
"type": "main",
"index": 1
},
{
"node": "Prepare Source & File Name for Merge",
"type": "main",
"index": 0
}
]
]
},
"Merge Original And LLM Endpoints": {
"main": [
[
{
"node": "Final Merge with Enriched File Name",
"type": "main",
"index": 0
}
]
]
},
"Prepare Data for Regex Extraction": {
"main": [
[
{
"node": "Execute LLM Regex",
"type": "main",
"index": 0
}
]
]
},
"Final Merge with Enriched File Name": {
"main": [
[
{
"node": "Sort Merged Endpoints",
"type": "main",
"index": 0
}
]
]
},
"Prepare Source & File Name for Merge": {
"main": [
[
{
"node": "Final Merge with Enriched File Name",
"type": "main",
"index": 1
}
]
]
},
"Merge Initial AI Analysis & AI Agent Output": {
"main": [
[
{
"node": "Prepare Data for Regex Extraction",
"type": "main",
"index": 0
}
]
]
},
"Merge Regex, File Name & Reference Endpoints": {
"main": [
[
{
"node": "Evaluate LLM Regex",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 工程, 人工智能
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
相关工作流推荐
在可视化参考库中探索n8n节点
在可视化参考库中探索n8n节点
If
Ftp
Set
+93
113 节点I versus AI
其他
仅从数据库架构生成 SQL 查询 - AI 驱动
仅从数据库架构生成 SQL 查询 - AI 驱动
If
Set
Merge
+11
29 节点Yulia
工程
（Duc）深度研究市场模板
集成PerplexityAI研究和OpenAI内容的多层级WordPress博客生成器
If
Set
Xml
+28
132 节点Daniel Ng
人工智能
LinkedIn和X病毒内容自动引擎
使用AI生成和发布自动创建LinkedIn和X的病毒内容
If
Set
Wait
+26
156 节点Diptamoy Barman
内容创作
灵活新闻聚合器 - 多源集成、AI分析和可设置频道
多源新闻策展系统，集成Mistral AI分析、摘要和自定义频道
If
Set
Xml
+32
120 节点Hybroht
内容创作
宠物店 4
🐶 宠物店预约 AI 代理
If
Set
Code
+41
187 节点Bruno Dias
人工智能
