自动化房地产房源提取器
中级
这是一个Market Research领域的自动化工作流,包含 7 个节点。主要使用 Code, GoogleSheets, ScheduleTrigger, Scrapeless 等节点。 使用Scrapeless和Google表格自动化房地产房源抓取
前置要求
- •Google Sheets API 凭证
分类
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": "EgeVsV76EKfXbkcW",
"meta": {
"instanceId": "7d291de9dc3bbf0106d65e069919a3de2507e3365a7b25788a79a3562af9bfc5"
},
"name": "自动化房地产房源提取器",
"tags": [],
"nodes": [
{
"id": "337aabda-3017-4057-8383-6855837d5e9a",
"name": "每周市场触发器",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
60,
780
],
"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"triggerAtDay": [
1
],
"triggerAtHour": 9
}
]
}
},
"typeVersion": 1.2
},
{
"id": "2be97af8-6121-4cbc-9239-1901d947d8e2",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 6,
"width": 620,
"height": 1160,
"content": "## 🔹 **第一部分:🔁 计划触发器 — 自动化工作流**"
},
"typeVersion": 1
},
{
"id": "ce4de51e-920e-4e72-9aee-13f2180952fc",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
660,
-380
],
"parameters": {
"color": 5,
"width": 700,
"height": 1540,
"content": ""
},
"typeVersion": 1
},
{
"id": "3cb24f03-3bc2-4ca9-9234-9dc2ab9c36a2",
"name": "爬取",
"type": "n8n-nodes-scrapeless.scrapeless",
"position": [
360,
780
],
"parameters": {
"url": "https://www.loopnet.com/search/commercial-real-estate/los-angeles-ca/for-lease/",
"resource": "crawler",
"operation": "crawl",
"limitCrawlPages": 2
},
"credentials": {
"scrapelessApi": {
"id": "B73pdQXNjpqNbIhs",
"name": "Scrapeless account"
}
},
"typeVersion": 1
},
{
"id": "64cbc99c-e071-4c0d-8758-a0e5167f4c88",
"name": "在表格中追加或更新行",
"type": "n8n-nodes-base.googleSheets",
"position": [
1580,
780
],
"parameters": {
"columns": {
"value": {
"Link": "={{ $json.link }}",
"Size": "={{ $json.size }}",
"Image": "={{ $json.image }}",
"Title": "={{ $json.title }}",
"YearBuilt": "={{ $json.yearBuilt }}"
},
"schema": [
{
"id": "Title",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Link",
"type": "string",
"display": true,
"required": false,
"displayName": "Link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Size",
"type": "string",
"display": true,
"required": false,
"displayName": "Size",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "YearBuilt",
"type": "string",
"display": true,
"required": false,
"displayName": "YearBuilt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Image",
"type": "string",
"display": true,
"required": false,
"displayName": "Image",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Title"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1of_9PIseDnbwGYiJ5SLx3bSU5m8TTXpBN6haS2f7EBY/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1of_9PIseDnbwGYiJ5SLx3bSU5m8TTXpBN6haS2f7EBY",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1of_9PIseDnbwGYiJ5SLx3bSU5m8TTXpBN6haS2f7EBY/edit?usp=drivesdk",
"cachedResultName": "Real Estate Market Report"
}
},
"typeVersion": 4.6
},
{
"id": "0458cbbb-e60b-461d-aed0-562d5067946e",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1420,
-60
],
"parameters": {
"width": 580,
"height": 1220,
"content": ""
},
"typeVersion": 1
},
{
"id": "f0d425e4-af8d-4c6f-bced-625ba3b094f0",
"name": "解析房源",
"type": "n8n-nodes-base.code",
"position": [
860,
780
],
"parameters": {
"jsCode": "const markdownData = [];\n$input.all().forEach((item) => {\n\titem.json.forEach((c) => {\n\t\tmarkdownData.push(c.markdown);\n\t});\n});\n\nconst results = [];\n\nfunction dataExtact(md) {\n\tconst re = /\\[More details for ([^\\]]+)\\]\\((https:\\/\\/www\\.loopnet\\.com\\/Listing\\/[^\\)]+)\\)/g;\n\n\tlet match;\n\n\twhile ((match = re.exec(md))) {\n\t\tconst title = match[1].trim();\n\t\tconst link = match[2].trim()?.split(' ')[0];\n\n\t\t// Extract a snippet of context around the match\n\t\tconst context = md.slice(match.index, match.index + 500);\n\n\t\t// Extract size range, e.g. \"10,000 - 20,000 SF\"\n\t\tconst sizeMatch = context.match(/([\\d,]+)\\s*-\\s*([\\d,]+)\\s*SF/);\n\t\tconst sizeRange = sizeMatch ? `${sizeMatch[1]} - ${sizeMatch[2]} SF` : null;\n\n\t\t// Extract year built, e.g. \"Built in 1988\"\n\t\tconst yearMatch = context.match(/Built in\\s*(\\d{4})/i);\n\t\tconst yearBuilt = yearMatch ? yearMatch[1] : null;\n\n\t\t// Extract image URL\n\t\tconst imageMatch = context.match(/!\\[[^\\]]*\\]\\((https:\\/\\/images1\\.loopnet\\.com[^\\)]+)\\)/);\n\t\tconst image = imageMatch ? imageMatch[1] : null;\n\n\t\tresults.push({\n\t\t\tjson: {\n\t\t\t\ttitle,\n\t\t\t\tlink,\n\t\t\t\tsize: sizeRange,\n\t\t\t\tyearBuilt,\n\t\t\t\timage,\n\t\t\t},\n\t\t});\n\t}\n\n\t// Return original markdown if no matches found (for debugging)\n\tif (results.length === 0) {\n\t\treturn [\n\t\t\t{\n\t\t\t\tjson: {\n\t\t\t\t\terror: 'No listings matched',\n\t\t\t\t\traw: md,\n\t\t\t\t},\n\t\t\t},\n\t\t];\n\t}\n}\n\nmarkdownData.forEach((item) => {\n\tdataExtact(item);\n});\n\nreturn results;\n"
},
"typeVersion": 2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "3bbe4fe1-455d-4486-af39-d0980957100e",
"connections": {
"Crawl": {
"main": [
[
{
"node": "Parse Listings",
"type": "main",
"index": 0
}
]
]
},
"Parse Listings": {
"main": [
[
{
"node": "Append or update row in sheet",
"type": "main",
"index": 0
}
]
]
},
"Weekly Market Trigger": {
"main": [
[
{
"node": "Crawl",
"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?
中级 - 市场调研
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。
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