Firecrawl AI驱动的市场情报机器人:自动化新闻洞察交付
中级
这是一个Market Research, Multimodal AI领域的自动化工作流,包含 12 个节点。主要使用 Code, Wait, Slack, HttpRequest, Agent 等节点。 使用OpenAI过滤和总结TechCrunch的AI新闻到Slack
前置要求
- •Slack Bot Token 或 Webhook URL
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
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": "Ut6jbfsK7IvhGJVL",
"meta": {
"instanceId": "87e85f497d2a9f18665002b06f3ba96bde7b80557a792319a7373c9549c8959f",
"templateId": "4588",
"templateCredsSetupCompleted": true
},
"name": "Firecrawl AI驱动的市场情报机器人:自动化新闻洞察交付",
"tags": [],
"nodes": [
{
"id": "471044c1-cafd-4810-973d-b40c74ef6999",
"name": "每日市场研究触发器",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
2512,
784
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 8
}
]
}
},
"typeVersion": 1.2
},
{
"id": "8f6e97b6-6910-4c6b-8c9a-29a0cf95ac09",
"name": "爬取TechCrunch(FireCrawl)",
"type": "n8n-nodes-base.httpRequest",
"position": [
2704,
784
],
"parameters": {
"url": "https://api.firecrawl.dev/v1/crawl",
"method": "POST",
"options": {},
"jsonBody": "{\n \"url\": \"https://techcrunch.com\",\n \"limit\": 20,\n \"includePaths\": [\"2025/\"],\n \"scrapeOptions\": {\n \"formats\": [\"markdown\"],\n \"onlyMainContent\": true,\n \"parsePDF\": true,\n \"maxAge\": 14400000\n }\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth"
},
"typeVersion": 4.2
},
{
"id": "a326e8fd-bfc8-4380-9c66-20481aaa8a6c",
"name": "摘要生成智能体",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
3328,
784
],
"parameters": {
"text": "=You are an AI research assistant. First, determine if this article is related to artificial intelligence, machine learning, AI companies, or AI technology.\n\nIf the article IS AI-related, provide a summary in 3 bullet points.\nIf the article is NOT AI-related, respond with exactly: \"NOT_AI_RELATED\"\n\nArticle details:\nTitle: {{ $json.title }}\nDescription: {{ $json.description }}\nContent: {{ $json.content }}\n\nFormat for AI articles:\n{{ $json.title }}\n\nSummary:\n- [Bullet point 1]\n- [Bullet point 2] \n- [Bullet point 3]\n\nLink: {{ $json.url }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "d8576228-6261-4654-84de-0864e398c22d",
"name": "OpenAI摘要生成器",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3328,
1008
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "byfe88CyXUHFOXUZ",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "f5965b4a-4ab1-4e5f-868c-2dc11c59fc28",
"name": "发送摘要到Slack",
"type": "n8n-nodes-base.slack",
"position": [
3792,
784
],
"webhookId": "c2e00b18-42bd-49b7-bc4c-05d60633a7c8",
"parameters": {
"text": "=🔍 AI Research Summary:\n{{ $json.output }}",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "name",
"value": "#general"
},
"otherOptions": {},
"authentication": "oAuth2"
},
"executeOnce": false,
"typeVersion": 2.3
},
{
"id": "fb908a45-0faf-4068-9420-8046ab4a8d36",
"name": "等待",
"type": "n8n-nodes-base.wait",
"position": [
2880,
784
],
"webhookId": "b210f38a-da89-4bc5-a1e6-c80f9b89a426",
"parameters": {
"amount": 60
},
"typeVersion": 1.1
},
{
"id": "a89a5bc1-5f76-40b5-aca3-adc380fd4c0d",
"name": "接收Firecrawl结果",
"type": "n8n-nodes-base.httpRequest",
"position": [
3024,
784
],
"parameters": {
"url": "=https://api.firecrawl.dev/v1/crawl/{{$json.id}}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "U4MsswmPveLVhYYR",
"name": "Bearer Auth account 4"
}
},
"typeVersion": 4.2
},
{
"id": "5ddeaef9-cd9d-4f55-b82d-1edfce6429df",
"name": "拆分输出",
"type": "n8n-nodes-base.code",
"position": [
3184,
784
],
"parameters": {
"jsCode": "// Split crawled articles into individual items for processing\nif (!$json.data || $json.data.length === 0) {\n console.log(\"No data available\");\n return [];\n}\n\nconsole.log(`Processing ${$json.data.length} articles individually`);\n\n// Return each article as a separate n8n item\nreturn $json.data.map(article => ({\n json: {\n title: article.metadata?.title || 'No title',\n url: article.sourceURL || '',\n content: (article.markdown || article.content || '').substring(0, 1000),\n description: article.metadata?.description || '',\n publishDate: article.metadata?.publishDate || ''\n }\n}));"
},
"typeVersion": 2
},
{
"id": "c8cc970e-313e-45c9-bad5-9dd32ccbfee3",
"name": "过滤消息",
"type": "n8n-nodes-base.code",
"position": [
3616,
784
],
"parameters": {
"jsCode": "// Process all items at once and filter out NOT_AI_RELATED\nconst filteredItems = [];\n\n$input.all().forEach(item => {\n if (item.json.output && item.json.output.trim() !== 'NOT_AI_RELATED') {\n filteredItems.push(item);\n } else {\n console.log('Filtered out non-AI article');\n }\n});\n\nconsole.log(`Passing ${filteredItems.length} AI articles to Slack`);\nreturn filteredItems;"
},
"typeVersion": 2
},
{
"id": "51e047ef-791d-46cd-abcd-98c2b55104cd",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
2512,
-384
],
"parameters": {
"width": 944,
"height": 1056,
"content": "# AI驱动的市场情报机器人"
},
"typeVersion": 1
},
{
"id": "92923278-85b3-4def-a7e2-8967e55f9004",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
4384,
-352
],
"parameters": {
"color": 4,
"width": 1200,
"height": 1184,
"content": "## 🔧 配置与自定义"
},
"typeVersion": 1
},
{
"id": "52f22863-78b7-4f12-9d92-5cfe81b4c8c9",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
3600,
-352
],
"parameters": {
"color": 5,
"width": 736,
"height": 1056,
"content": "## 🤖 4. AI驱动分析与摘要生成"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {},
"versionId": "1a74e487-1f09-4046-8c1c-149d0c748911",
"connections": {
"Wait": {
"main": [
[
{
"node": "Receive Firecrawl Results",
"type": "main",
"index": 0
}
]
]
},
"Split Output": {
"main": [
[
{
"node": "Summarizer Agent",
"type": "main",
"index": 0
}
]
]
},
"Filter Messages": {
"main": [
[
{
"node": "Send Summary to Slack",
"type": "main",
"index": 0
}
]
]
},
"Summarizer Agent": {
"main": [
[
{
"node": "Filter Messages",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Summarizer": {
"ai_languageModel": [
[
{
"node": "Summarizer Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Receive Firecrawl Results": {
"main": [
[
{
"node": "Split Output",
"type": "main",
"index": 0
}
]
]
},
"Crawl TechCrunch (FireCrawl)": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Daily Market Research Trigger": {
"main": [
[
{
"node": "Crawl TechCrunch (FireCrawl)",
"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, 多模态 AI
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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杂项
工作流信息
难度等级
中级
节点数量12
分类2
节点类型8
作者
Colton Randolph
@crandolphTechnical/B2B content writer & SEO specialist. I love helping people learn and implement technical concepts.
外部链接
在 n8n.io 查看 →
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