This workflow follows the Chainllm → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "AI News Data Ingestion",
"nodes": [
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyX",
"value": 4
}
]
},
"feedUrl": "https://rss.app/feeds/e2QjBpEDLPfVUeoI.xml"
},
"type": "n8n-nodes-base.rssFeedReadTrigger",
"typeVersion": 1,
"position": [
-1080,
1920
],
"id": "897b3fd0-e306-4ad1-8c96-4f5c6f94c63b",
"name": "the_neuron_trigger"
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyX",
"value": 4
}
]
},
"feedUrl": "https://rss.app/feeds/x8T02B3GXYy18pNy.xml"
},
"type": "n8n-nodes-base.rssFeedReadTrigger",
"typeVersion": 1,
"position": [
-1080,
2140
],
"id": "0858121f-f5d4-466f-9544-3ee5eb9ddcda",
"name": "futurepedia_trigger"
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyX",
"value": 4
}
]
},
"feedUrl": "https://rss.app/feeds/3tDyvQwHp8cgL7qs.xml"
},
"type": "n8n-nodes-base.rssFeedReadTrigger",
"typeVersion": 1,
"position": [
-1080,
2360
],
"id": "40c61163-fec9-4d9d-8a17-e2d3b3fca505",
"name": "superhuman_trigger"
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "qVEM2rCD1jlJPeRs",
"mode": "list",
"cachedResultName": "Data Ingestion \u2014 Node - Scrape Url"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {
"url": "={{ $node[\"get_identity\"].json.url }}"
},
"matchingColumns": [
"url"
],
"schema": [
{
"id": "url",
"displayName": "url",
"required": false,
"defaultMatch": false,
"display": true,
"canBeUsedToMatch": true,
"type": "string",
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"options": {}
},
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.2,
"position": [
1800,
520
],
"id": "2ffeea6e-7f70-429e-98f3-37df82ab8f01",
"name": "scrape_url",
"retryOnFail": true,
"waitBetweenTries": 5000
},
{
"parameters": {
"promptType": "define",
"text": "=Given content fetched from a web page, analyze this content to determine if it is a full piece of content that would be considered relevent to our AI Newsletter which features stories, advancements, and other interesting happenings in the tech and AI space.\n\n- Job postings are not relevant content\n- Content centered around unrelated industries is not relevant\n- Only AI and AI Adjacent content should be considered relevant\n\n---\n{{ $json.data.json.content }}",
"hasOutputParser": true
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.5,
"position": [
2320,
520
],
"id": "5be2469e-8e8a-44aa-8133-46b5cce240b1",
"name": "evaluate_content"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "3261021f-54d8-4cce-a78a-12e40520d2c1",
"name": "sourceName",
"value": "the-neuron",
"type": "string"
},
{
"id": "a7a3c290-4b8c-46e5-a9e2-d7c9c03d3bee",
"name": "feedType",
"value": "newsletter",
"type": "string"
},
{
"id": "efb8285b-9def-4cef-883f-af6fbdafa0c7",
"name": "feedUrl",
"value": "https://www.theneurondaily.com/archive",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
40,
1920
],
"id": "c9a58751-27b2-481a-8aa0-8a1c23113c42",
"name": "normalize_neuron"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "3261021f-54d8-4cce-a78a-12e40520d2c1",
"name": "sourceName",
"value": "futurepedia",
"type": "string"
},
{
"id": "a7a3c290-4b8c-46e5-a9e2-d7c9c03d3bee",
"name": "feedType",
"value": "newsletter",
"type": "string"
},
{
"id": "efb8285b-9def-4cef-883f-af6fbdafa0c7",
"name": "feedUrl",
"value": "https://futurepedia.beehiiv.com/archive",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
40,
2140
],
"id": "92ef0060-89bb-4b4a-a146-b04cc5056498",
"name": "normalize_futurepedia"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "3261021f-54d8-4cce-a78a-12e40520d2c1",
"name": "sourceName",
"value": "superhuman",
"type": "string"
},
{
"id": "a7a3c290-4b8c-46e5-a9e2-d7c9c03d3bee",
"name": "feedType",
"value": "newsletter",
"type": "string"
},
{
"id": "efb8285b-9def-4cef-883f-af6fbdafa0c7",
"name": "feedUrl",
"value": "https://www.superhuman.ai/archive",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
40,
2360
],
"id": "8353ca9e-1c23-4503-add4-f455d635a71d",
"name": "normalize_superhuman"
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyX",
"value": 4
}
]
},
"feedUrl": "https://rss.app/feeds/Kc554BCmk9PUValj.xml"
},
"type": "n8n-nodes-base.rssFeedReadTrigger",
"typeVersion": 1,
"position": [
-1080,
1700
],
"id": "8f8d57bc-71c9-4daa-867f-b81bd127baf7",
"name": "the_rundown_ai_trigger"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "3261021f-54d8-4cce-a78a-12e40520d2c1",
"name": "sourceName",
"value": "the-rundown-ai",
"type": "string"
},
{
"id": "a7a3c290-4b8c-46e5-a9e2-d7c9c03d3bee",
"name": "feedType",
"value": "newsletter",
"type": "string"
},
{
"id": "efb8285b-9def-4cef-883f-af6fbdafa0c7",
"name": "feedUrl",
"value": "https://www.therundown.ai/archive",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
40,
1700
],
"id": "dbf3e7b5-71a8-4e60-a6a1-b8bf79bacc5c",
"name": "normalize_the_rundown_ai"
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyX",
"value": 4
}
]
},
"feedUrl": "https://rss.beehiiv.com/feeds/22I6c0vJXV.xml"
},
"type": "n8n-nodes-base.rssFeedReadTrigger",
"typeVersion": 1,
"position": [
-1080,
2580
],
"id": "3300f8c0-6ac3-4cb1-b146-4280b42cab4d",
"name": "taaft_trigger"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "3261021f-54d8-4cce-a78a-12e40520d2c1",
"name": "sourceName",
"value": "taaft",
"type": "string"
},
{
"id": "a7a3c290-4b8c-46e5-a9e2-d7c9c03d3bee",
"name": "feedType",
"value": "newsletter",
"type": "string"
},
{
"id": "efb8285b-9def-4cef-883f-af6fbdafa0c7",
"name": "feedUrl",
"value": "https://newsletter.theresanaiforthat.com/archive",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
40,
2580
],
"id": "480adc6e-36a0-4efd-b981-8561836a16b0",
"name": "normalize_taaft"
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyX",
"value": 4
}
]
},
"feedUrl": "https://rss.app/feeds/O60XfEFYoxJhYVkS.xml"
},
"type": "n8n-nodes-base.rssFeedReadTrigger",
"typeVersion": 1,
"position": [
-1080,
1480
],
"id": "71650d77-74bc-4257-a08f-0834a3ee2e53",
"name": "bens_bites_trigger"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "3261021f-54d8-4cce-a78a-12e40520d2c1",
"name": "sourceName",
"value": "bens-bites",
"type": "string"
},
{
"id": "a7a3c290-4b8c-46e5-a9e2-d7c9c03d3bee",
"name": "feedType",
"value": "newsletter",
"type": "string"
},
{
"id": "efb8285b-9def-4cef-883f-af6fbdafa0c7",
"name": "feedUrl",
"value": "https://bensbites.beehiiv.com/archive",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
40,
1480
],
"id": "9fc0364e-1bd1-42b0-8c6c-0a3898313e76",
"name": "normalize_bens_bites"
},
{
"parameters": {
"operation": "upload",
"bucketName": "data-ingestion",
"fileName": "={{ $('get_identity').item.json.uploadFileName + \".md.temp\" }}",
"binaryData": false,
"fileContent": "={{ $('scrape_url').item.json.data.json.content }}",
"additionalFields": {}
},
"type": "n8n-nodes-base.s3",
"typeVersion": 1,
"position": [
3560,
360
],
"id": "354fc078-ee9c-48e0-96e8-b25414c8dd43",
"name": "upload_temp_markdown",
"retryOnFail": true,
"maxTries": 5,
"waitBetweenTries": 5000
},
{
"parameters": {
"method": "POST",
"url": "https://api.aitools.inc/admin/files/copy/data-ingestion",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"srcKey\": \"{{ $('get_identity').item.json.uploadFileName + '.md.temp' }}\",\n \"dstKey\": \"{{ $('get_identity').item.json.uploadFileName + '.md' }}\",\n \"newContentType\": \"application/vnd.aitools.{{ $('get_identity').item.json.feedType }}+md\",\n \"newMetadata\": {\n \"key\": \"{{ $('get_identity').item.json.uploadFileName + '.md' }}\",\n \"type\": \"{{ $('get_identity').item.json.feedType }}\",\n \"title\": {{ JSON.stringify($('get_identity').item.json.title) }},\n \"authors\": {{ JSON.stringify($('get_identity').item.json.authors ?? \"\") }},\n \"source-name\": \"{{ $('get_identity').item.json.sourceName }}\",\n \"external-source-urls\": {{ JSON.stringify($('try_extract_external_sources').item.json.output.external_source_urls ?? \"\") }},\n \"image-urls\": {{ JSON.stringify($('scrape_url').item.json.data.json.main_content_image_urls.join(\",\")) }},\n \"url\": \"{{ $('get_identity').item.json.url }}\",\n \"timestamp\": \"{{ $('get_identity').item.json.publishedTimestamp }}\",\n \"feed-url\": \"{{ $('get_identity').item.json.feedUrl }}\"\n }\n}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
3780,
360
],
"id": "25c7af90-065b-4664-8ee6-64731831fd03",
"name": "copy_markdown",
"retryOnFail": true,
"waitBetweenTries": 5000,
"maxTries": 5
},
{
"parameters": {
"operation": "upload",
"bucketName": "data-ingestion",
"fileName": "={{ $('get_identity').item.json.uploadFileName + \".html.temp\" }}",
"binaryData": false,
"fileContent": "={{ $('scrape_url').item.json.data.rawHtml }}",
"additionalFields": {}
},
"type": "n8n-nodes-base.s3",
"typeVersion": 1,
"position": [
3560,
680
],
"id": "44b5771c-6cc4-44ca-9723-6ee2e0caf849",
"name": "upload_temp_html",
"retryOnFail": true,
"waitBetweenTries": 5000,
"maxTries": 5
},
{
"parameters": {
"method": "POST",
"url": "https://api.aitools.inc/admin/files/copy/data-ingestion",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"srcKey\": \"{{ $('get_identity').item.json.uploadFileName + '.html.temp' }}\",\n \"dstKey\": \"{{ $('get_identity').item.json.uploadFileName + '.html' }}\",\n \"newContentType\": \"application/vnd.aitools.{{ $('get_identity').item.json.feedType }}.raw+html\",\n \"newMetadata\": {\n \"key\": \"{{ $('get_identity').item.json.uploadFileName + '.md' }}\",\n \"type\": \"{{ $('get_identity').item.json.feedType }}\",\n \"title\": {{ JSON.stringify($('get_identity').item.json.title) }},\n \"authors\": {{ JSON.stringify($('get_identity').item.json.authors ?? \"\") }},\n \"source-name\": \"{{ $('get_identity').item.json.sourceName }}\",\n \"external-source-urls\": {{ JSON.stringify($('try_extract_external_sources').item.json.output.external_source_urls ?? \"\") }},\n \"image-urls\": {{ JSON.stringify($('scrape_url').item.json.data.json.main_content_image_urls.join(\",\")) }},\n \"url\": \"{{ $('get_identity').item.json.url }}\",\n \"timestamp\": \"{{ $('get_identity').item.json.publishedTimestamp }}\",\n \"feed-url\": \"{{ $('get_identity').item.json.feedUrl }}\"\n }\n}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
3780,
680
],
"id": "b71fca50-97e9-4ba1-821b-5f69e83e3554",
"name": "copy_html",
"retryOnFail": true,
"waitBetweenTries": 5000,
"maxTries": 5
},
{
"parameters": {
"operation": "delete",
"bucketName": "data-ingestion",
"fileKey": "={{ $('get_identity').item.json.uploadFileName + '.html.temp' }}",
"options": {}
},
"type": "n8n-nodes-base.s3",
"typeVersion": 1,
"position": [
4000,
680
],
"id": "85ff3e4c-6955-44bf-9f97-efb4cdd19510",
"name": "delete_temp_html",
"retryOnFail": true,
"maxTries": 5,
"waitBetweenTries": 5000
},
{
"parameters": {
"operation": "delete",
"bucketName": "data-ingestion",
"fileKey": "={{ $('get_identity').item.json.uploadFileName + '.md.temp' }}",
"options": {}
},
"type": "n8n-nodes-base.s3",
"typeVersion": 1,
"position": [
4000,
360
],
"id": "dfcfc3fa-ef49-4e50-b0f2-2878c5e9acbf",
"name": "delete_temp_markdown",
"retryOnFail": true,
"maxTries": 5,
"waitBetweenTries": 5000
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 3
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-1080,
1260
],
"id": "00eb73f0-8539-4031-bdc4-8f258550d705",
"name": "google_news_trigger"
},
{
"parameters": {
"url": "https://rss.app/feeds/v1.1/AkOariu1C7YyUUMv.json",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-860,
1260
],
"id": "792f0df0-9243-4431-b447-7d639a411353",
"name": "fetch_google_news_feed"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const domainSourceMap = {\n \"engadget.com\": \"engadget\",\n \"gizmodo.com\": \"gizmodo\",\n \"techcrunch.com\": \"techcrunch\",\n \"theverge.com\": \"the-verge\",\n \"cnbc.com\": \"cnbc\",\n \"forbes.com\": \"forbes\",\n \"tradingview.com\": \"trading-view\",\n \"economist.com\": \"economist\",\n \"tomshardware.com\": \"toms-hardware\",\n \"timesofindia.indiatimes.com\": \"times-of-india\",\n \"seekingalpha.com\": \"seeking-alpha\",\n \"fool.com\": \"the-motley-fool\",\n \"sherwood.news\": \"sherwood-news\",\n \"theregister.com\": \"the-register\",\n \"yahoo.com\": \"yahoo\",\n \"finance.yahoo.com\": \"yahoo-finance\",\n \"venturebeat.com\": \"venture-beat\",\n \"gurufocus.com\": \"guru-focus\",\n \"yourstory.com\": \"your-story\",\n \"theguardian.com\": \"the-guardian\",\n \"spectrum.ieee.org\": \"spectrum-ieee\",\n \"nasdaq.com\": \"nasdaq\",\n \"euractiv.com\": \"euractiv\",\n \"fortune.com\": \"fortune\",\n \"indexbox.io\": \"indexbox\",\n \"phys.org\": \"phys\",\n \"reuters.com\": \"reuters\",\n \"bloomberg.com\": \"bloomberg\",\n \"ign.com\": \"ign\",\n \"japantimes.co.jp\": \"japan-times\",\n \"thehindu.com\": \"the-hindu\",\n \"ft.com\": \"financial-times\",\n \"nytimes.com\": \"the-new-york-times\",\n \"aftermath.site\": \"aftermath\",\n \"computerworld.com\": \"computer-world\",\n \"business.inquirer.net\": \"business-inquirer\",\n \"androidpolice.com\": \"android-police\",\n \"scmp.com\": \"scmp\",\n \"azure.microsoft.com\": \"microsoft-azure\",\n \"benzinga.com\": \"benzinga\"\n}\n\n// Use a regex to extract the hostname.\n// The regex breakdown:\n// ^(?:https?:\\/\\/)? --> Optionally match the protocol (http:// or https://)\n// (?:www\\.)? --> Optionally match \"www.\"\n// ([^\\/]+) --> Capture all characters until the first \"/\" (the hostname)\nconst match = $input.item.json.url.match(/^(?:https?:\\/\\/)?(?:www\\.)?([^\\/]+)/i);\n\nif (!match) {\n throw new Error(\"Unable to regex match url\")\n}\n\nconst domain = match[1];\nlet sourceName = domainSourceMap[domain];\n\nif (!sourceName) {\n // Fallback: generate a friendly name by removing any leading \"www.\", \n // then removing the TLD (the last dot segment),\n // and finally replacing any remaining dots with dashes.\n sourceName = domain\n .replace(/^www\\./, '')\n .replace(/\\.[^.]+$/, '') // removes the TLD\n .replace(/\\./g, '-');\n}\n\nif (!sourceName) {\n throw new Error(`Unknown source detected: ${domain}`);\n}\n\nreturn {\n sourceName: sourceName,\n title: $input.item.json.title,\n creator: $input.item.json.authors[0]?.name,\n link: $input.item.json.url,\n pubDate: $input.item.json.date_published,\n isoDate: $input.item.json.date_published,\n feedType: \"article\",\n feedUrl: \"https://rss.app/feeds/v1.1/AkOariu1C7YyUUMv.json\"\n}"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
40,
1260
],
"id": "ad8fc277-0e20-4a2e-af0f-9fcea15b7fb9",
"name": "normalize_google_news_articles"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "6a082ec0-16b7-4d5b-832d-2609a06fae15",
"name": "title",
"value": "={{ $json.title }}",
"type": "string"
},
{
"id": "6838c8ba-c498-49f5-bb97-bee33f02dd20",
"name": "url",
"value": "={{ $json.link }}",
"type": "string"
},
{
"id": "13967cc2-74e2-445f-b88f-f15405cd89d8",
"name": "authors",
"value": "={{ $json.creator }}",
"type": "string"
},
{
"id": "a33938bc-1743-4e67-bdaf-c4c1d5bc3ce0",
"name": "date",
"value": "={{ $json.pubDate }}",
"type": "string"
},
{
"id": "7edee0aa-3a35-41bf-b616-85246fed3436",
"name": "publishedTimestamp",
"value": "={{ $json.isoDate }}",
"type": "string"
},
{
"id": "a68bb301-94e1-414d-96f8-09f6453b45c1",
"name": "sourceName",
"value": "={{ $json.sourceName }}",
"type": "string"
},
{
"id": "00b19e33-754f-4347-a30a-bb33b3740919",
"name": "feedType",
"value": "={{ $json.feedType }}",
"type": "string"
},
{
"id": "24e1b6dc-81e2-4964-a56c-36ceccd9e1f2",
"name": "feedUrl",
"value": "={{ $json.feedUrl }}",
"type": "string"
},
{
"id": "b287462d-3fad-46a2-bc42-5aa98aa8bde3",
"name": "uploadFileName",
"value": "={{ \n $json.isoDate.substring(0, 10) + \"/\" + \n $json.title\n .toLowerCase()\n .replace(/[^a-z0-9 -]/g, '') // remove characters outside a-z, 0-9, space, and dash\n .trim() // remove any leading/trailing whitespace\n .replace(/\\s+/g, '-') // replace whitespace with dash\n .replace(/-+/g, '-') // collapse multiple dashes\n + '.' + $json.sourceName \n}}",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
620,
520
],
"id": "13bea670-03fc-421c-a788-b9b437c3d4c4",
"name": "get_identity",
"alwaysOutputData": false
},
{
"parameters": {
"resource": "bucket",
"operation": "search",
"bucketName": "data-ingestion",
"additionalFields": {
"prefix": "={{ $json.uploadFileName }}"
}
},
"type": "n8n-nodes-base.s3",
"typeVersion": 1,
"position": [
960,
520
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"operation": "get",
"subreddit": "artificial",
"postId": "={{ $json.url.match(/comments\\/([^/]+)/)[1] }}"
},
"type": "n8n-nodes-base.reddit",
"typeVersion": 1,
"position": [
-420,
260
],
"id": "dd2e8524-079f-4ef3-bb11-62ec01b63c6e",
"name": "get_reddit_artificial_items",
"onError": "continueRegularOutput"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "0c525d94-7ad5-49ef-b5cd-f149992e85cd",
"leftValue": "={{ $json.error }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notExists",
"singleValue": true
}
},
{
"id": "7e9f6852-ccf6-488e-8019-899aaa1ef6ff",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
}
},
{
"id": "79bc5622-4063-48a8-835b-8b45746a7f2e",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
}
},
{
"id": "1a4ca682-edac-47b1-8e84-dbaa3f79a819",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "reddit.com",
"operator": {
"type": "string",
"operation": "notContains"
}
},
{
"id": "f29b29c7-d183-450a-b9e6-b02635a2dead",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "youtube.com",
"operator": {
"type": "string",
"operation": "notContains"
}
},
{
"id": "ab07ea23-fe91-4669-8417-396fe65765bf",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "youtu.be",
"operator": {
"type": "string",
"operation": "notContains"
}
},
{
"id": "eb92ce45-bdb8-4e8e-bf6b-d3d27a3d9108",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "x.com",
"operator": {
"type": "string",
"operation": "notContains"
}
},
{
"id": "6f51a62d-08ca-4ef4-abf1-cb29f8b3734e",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "github.com",
"operator": {
"type": "string",
"operation": "notContains"
}
},
{
"id": "3edaa177-9a40-41de-bcc2-fe248a777626",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "i.redd.it",
"operator": {
"type": "string",
"operation": "notContains"
}
},
{
"id": "13ab666b-fcbf-4798-b3f6-f74079b8f6fa",
"leftValue": "={{ $json.url_overridden_by_dest }}",
"rightValue": "v.redd.it",
"operator": {
"type": "string",
"operation": "notContains"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.2,
"position": [
-200,
260
],
"id": "c5aa6fdf-fc83-4186-b6c7-8da6471899ec",
"name": "filter_reddit_artificial_items"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// Use a regex to extract the hostname.\n// The regex breakdown:\n// ^(?:https?:\\/\\/)? --> Optionally match the protocol (http:// or https://)\n// (?:www\\.)? --> Optionally match \"www.\"\n// ([^\\/]+) --> Capture all characters until the first \"/\" (the hostname)\nconst match = $input.item.json.url.match(/^(?:https?:\\/\\/)?(?:www\\.)?([^\\/]+)/i);\n\nif (!match) {\n throw new Error(\"Unable to regex match url\")\n}\n\nconst domain = match[1];\nconst sourceName = domain\n .replace(/^www\\./, '')\n .replace(/\\.[^.]+$/, '') // removes the TLD\n .replace(/\\./g, '-');\n\nif (!sourceName) {\n throw new Error(`Unknown source detected: ${domain}`);\n}\n\nreturn {\n sourceName: sourceName,\n title: $input.item.json.title,\n link: $input.item.json.url,\n pubDate: new Date($input.item.json.created_utc * 1000).toISOString(),\n isoDate: new Date($input.item.json.created_utc * 1000).toISOString(),\n feedType: \"subreddit\",\n feedUrl: \"https://rss.app/feeds/v1.1/upLgfm9lv7RXwzes.json\"\n}"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
40,
260
],
"id": "3112ea83-b498-4f5c-a4d7-01cc7382caaa",
"name": "normalize_reddit_artificial_items"
},
{
"parameters": {
"content": "## Web Content",
"height": 3960,
"width": 5380,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-1140,
-1200
],
"typeVersion": 1,
"id": "d629fc07-a17b-42b6-bbc2-602494179a6f",
"name": "Sticky Note1"
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 4
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-1080,
20
],
"id": "d9654dc3-e5f2-4999-84a8-9640fac9535b",
"name": "blog_meta_ai_trigger"
},
{
"parameters": {
"url": "https://rss.app/feeds/v1.1/zqVI3dZrdbmZjbR8.json",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-860,
20
],
"id": "0ff81dd7-f01e-401f-95cd-37658321decd",
"name": "fetch_blog_meta_ai_feed"
},
{
"parameters": {
"fieldToSplitOut": "items",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
-640,
20
],
"id": "b4ce3b5a-6f7f-47e9-bbfb-b9a178f8adb2",
"name": "split_blog_meta_ai_items"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "return {\n sourceName: \"blog-meta\",\n title: $input.item.json.title,\n creator: $input.item.json.authors[0]?.name,\n link: $input.item.json.url,\n pubDate: $input.item.json.date_published,\n isoDate: $input.item.json.date_published,\n feedType: \"article\",\n feedUrl: \"https://rss.app/feeds/v1.1/zqVI3dZrdbmZjbR8.json\"\n}"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
40,
20
],
"id": "0c6543af-8206-4acf-b96e-4d512f91a944",
"name": "normalize_blog_meta_ai_articles"
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 4
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-1080,
-220
],
"id": "e92e30c7-9525-4b2c-b9f0-f431735eee5f",
"name": "blog_cloudflare_ai_trigger"
},
{
"parameters": {
"fieldToSplitOut": "items",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
-640,
-220
],
"id": "f73e4157-d017-4217-b273-5066f81b0c84",
"name": "split_blog_cloudflare_ai_items"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "return {\n sourceName: \"blog-cloudflare\",\n title: $input.item.json.title,\n creator: $input.item.json.authors[0]?.name,\n link: $input.item.json.url,\n pubDate: $input.item.json.date_published,\n isoDate: $input.item.json.date_published,\n feedType: \"article\",\n feedUrl: \"https://rss.app/feeds/v1.1/iLzlJfBHVV0phe2n.json\"\n}"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
40,
-220
],
"id": "f164e5e1-5391-491a-9308-690940c674a1",
"name": "normalize_blog_cloudflare_ai_articles"
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 4
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-1080,
-440
],
"id": "2c1c760e-6601-4553-b61b-c72cfbca06a4",
"name": "blog_anthropic_ai_trigger"
},
{
"parameters": {
"url": "https://rss.app/feeds/v1.1/iLzlJfBHVV0phe2n.json",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-860,
-220
],
"id": "f7e06f39-c618-4ce3-b159-87843f92ae12",
"name": "fetch_blog_cloudflare_ai_feed"
},
{
"parameters": {
"url": "https://rss.app/feeds/v1.1/OFdSUsziElw0rkpx.json",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-860,
-440
],
"id": "f80fb857-6643-452c-a36e-bf51ed6639f0",
"name": "fetch_blog_anthropic_ai_feed"
},
{
"parameters": {
"fieldToSplitOut": "items",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
-640,
-440
],
"id": "704ee292-3985-4f6b-8bde-520a62002398",
"name": "split_blog_anthropic_ai_items"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "return {\n sourceName: \"blog-anthropic\",\n title: $input.item.json.title,\n creator: $input.item.json.authors[0]?.name,\n link: $input.item.json.url,\n pubDate: $input.item.json.date_published,\n isoDate: $input.item.json.date_published,\n feedType: \"article\",\n feedUrl: \"https://rss.app/feeds/v1.1/OFdSUsziElw0rkpx.json\"\n}"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
40,
-440
],
"id": "1020f23c-2237-4123-a747-9ea1774f9bed",
"name": "normalize_blog_anthropic_ai_articles"
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 4
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-1080,
-660
],
"id": "f16bcb70-d8e8-4bac-b49a-337497dd7d64",
"name": "blog_google_ai_trigger"
},
{
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How this works
This workflow automatically ingests fresh AI news from multiple RSS feeds and turns the raw items into structured, usable data. It is aimed at teams who need reliable, up-to-date intelligence on AI tools, research and market moves without manual monitoring. The key step is the chainLlm node, which evaluates each article for relevance and extracts key details before storing everything in S3.
Use it when you need a steady daily feed of filtered AI updates for dashboards or reports; avoid it if you only require occasional one-off scans or if your feeds change frequently. A common variation replaces the S3 step with direct posting to Slack or a database.
About this workflow
AI News Data Ingestion. Uses rssFeedReadTrigger, chainLlm, s3, httpRequest. Event-driven trigger; 80 nodes.
Source: https://github.com/ATHARVISM2804/n8n_workflow_main/blob/main/workflows/ai_news_data_ingestion.json — original creator credit. Request a take-down →
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