This workflow follows the Chainllm → Execute Workflow Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "App Store Agent",
"nodes": [
{
"parameters": {
"inputSource": "jsonExample",
"jsonExample": "{\n\"query\": \n\"https://apps.apple.com/pl/app/worms/id321369231?l=pl\"\n}"
},
"id": "39379256-2e35-45be-9127-d75ac53aacdf",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.1,
"name": "Start",
"position": [
-2256,
336
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "49682872-684e-44f3-91f1-740e7b4df362",
"name": "app_id",
"value": "={{ $json.app_id }}",
"type": "string"
},
{
"id": "6dc462d1-1e4d-46c6-838f-9eb77e933a7c",
"name": "review",
"value": "={{ $json.review }}",
"type": "string"
},
{
"id": "d9da0afd-65a8-4820-a674-de264d2947ad",
"name": "review_id",
"value": "={{ $json.review_id }}",
"type": "string"
},
{
"id": "f75d6fca-db2d-4b8d-91cf-75fa58dbc83e",
"name": "timestamp",
"value": "={{ $json.timestamp }}",
"type": "string"
},
{
"id": "9bf893ea-2ce1-474d-a12d-b32b3f51423a",
"name": "timestamp",
"value": "={{ $json.timestamp }}",
"type": "string"
},
{
"id": "f24c96ee-518e-46fb-92d7-2d8fac1598be",
"name": "rating",
"value": "={{ $json.review_rating }}",
"type": "string"
},
{
"id": "02f0cde4-b375-4f1c-96be-f5655447fa69",
"name": "id",
"value": "={{ $json.app_id }}:{{ $json.review_id }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-1360,
224
],
"id": "f761f960-ab19-4f83-a94e-6fc22c13395e",
"name": "Edit Fields"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
-1136,
224
],
"id": "1c7bc462-2085-4660-88f5-8e3bb57550a2",
"name": "Loop Over Items",
"executeOnce": false
},
{
"parameters": {
"operation": "get",
"tableId": "app_reviews",
"filters": {
"conditions": [
{
"keyName": "id",
"keyValue": "={{ $json.id }}"
}
]
}
},
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
-912,
192
],
"id": "5d3f5dde-9398-498f-8bc5-b17a82953023",
"name": "Get a row",
"alwaysOutputData": true,
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose",
"version": 2
},
"conditions": [
{
"id": "72afdbab-3124-4b04-94e2-ecce3f6aa0ce",
"leftValue": "={{ $json.id }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "exists",
"singleValue": true
}
}
],
"combinator": "and"
},
"looseTypeValidation": true,
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
-624,
192
],
"id": "c22e0a7c-3020-4229-9cbf-60e6b9940db9",
"name": "If"
},
{
"parameters": {
"tableId": "app_reviews",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "id",
"fieldValue": "={{ $('Loop Over Items').item.json.id }}"
},
{
"fieldId": "app_id",
"fieldValue": "={{ $('Loop Over Items').item.json.app_id }}"
},
{
"fieldId": "review_id",
"fieldValue": "={{ $('Loop Over Items').item.json.review_id }}"
},
{
"fieldId": "review",
"fieldValue": "={{ $('Loop Over Items').item.json.review }}"
},
{
"fieldId": "timestamp",
"fieldValue": "={{ $('Loop Over Items').item.json.timestamp }}"
},
{
"fieldId": "sentiment",
"fieldValue": "={{ $json.output.sentiment }}"
},
{
"fieldId": "rating",
"fieldValue": "={{ $('Loop Over Items').item.json.rating }}"
}
]
}
},
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
160,
272
],
"id": "3932281e-20a1-4132-8c6b-cc1d3e8e6756",
"name": "Create a row",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"maxItems": 10,
"keep": "lastItems"
},
"type": "n8n-nodes-base.limit",
"typeVersion": 1,
"position": [
-1584,
224
],
"id": "20d3b57b-a98a-4908-8db7-df4beb00c40e",
"name": "Limit"
},
{
"parameters": {
"jsonSchemaExample": "{\"sentiment\":\"positive\"}",
"autoFix": true
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
-208,
32
],
"id": "f41f3bdc-4b6e-4367-8d91-46af39933d53",
"name": "Structured Output Parser"
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"destinationFieldName": "reviews",
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
-912,
-384
],
"id": "68a03a3c-5a66-407c-8ab9-2fe53e408fc8",
"name": "Aggregate"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-5",
"mode": "list",
"cachedResultName": "gpt-5"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-624,
-160
],
"id": "a6b4b5d5-2637-43fb-b8d9-1ee50ae9d0d5",
"name": "GPT-5",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "=You are an assistant that summarizes app store reviews.\n\nInput: {{ JSON.stringify($json.reviews) }}\n\nTasks:\n1) Use `sentiment` field\n2) Count positive, neutral, negative.\n3) Create 3\u20136 concise, actionable insights (\u2264100 chars each), each of the form:\n <Title> \u2014 <Why it matters> (<Short evidence>)\n - Prefer themes: Bugs/Crashes, Performance, Usability, Pricing, Feature Request, Onboarding, Content, Localization.\n - Focus on novelty, severity, or frequency; avoid duplicates; include at least one \u201cwhat to do\u201d hint.\n - Use short quotes only if essential; otherwise use a stat (e.g., \u201c22% mention battery drain\u201d).\n\nOutput EXACTLY this format:\n<X> new positive reviews\n<Y> new neutral reviews\n<Z> new negative reviews\n\nInsights:\n\u2022 <bullet>\n\u2022 <bullet>\n\u2022 <bullet>\n(3\u20136 bullets total)\n\nDo not output anything else.",
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.7,
"position": [
-688,
-384
],
"id": "bdd33556-5ab0-46fe-a52f-2bf9adcc5b89",
"name": "Summary"
},
{
"parameters": {
"promptType": "define",
"text": "=Classify the sentiment of the review as \"positive\", \"neutral\", or \"negative\".\nReview: {{ $('Loop Over Items').item.json.review }}\nRating: {{ $('Loop Over Items').item.json.rating }}\nOutput strictly JSON: {\"sentiment\":\"positive\"}",
"hasOutputParser": true,
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.7,
"position": [
-304,
-192
],
"id": "a6b24acf-134f-4a1d-adde-f8bbeafc52a9",
"name": "Sentiment"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-5-nano",
"mode": "list",
"cachedResultName": "gpt-5-nano"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-336,
32
],
"id": "e351e5a3-39be-4b84-85fc-8cdaf9749b0b",
"name": "GPT-5-nano",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-5-nano",
"mode": "list",
"cachedResultName": "gpt-5-nano"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-128,
240
],
"id": "b64a0ff6-3b29-4669-bb9d-6f70ced37fe1",
"name": "GPT-5-nano-2",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "fd50400f-58fd-45a5-8ed0-25139a83b7f9",
"name": "reviews",
"value": "={{ $('Aggregate').item.json.reviews }}",
"type": "array"
},
{
"id": "835c61e3-b284-464d-b784-6d8c4eef27eb",
"name": "summary",
"value": "={{ $json.text }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-208,
-384
],
"id": "76a81fc4-b268-4f3a-84d4-dc261a66df0c",
"name": "Output"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "b6c4474d-db5a-42ec-afba-6793caf52efd",
"leftValue": "={{ Array.isArray($json) }}",
"rightValue": "={{true}}",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
-1808,
336
],
"id": "b4681163-6841-4b78-9299-eaf6cd5ddc71",
"name": "Available reviews"
},
{
"parameters": {
"jsCode": "return {\n reviews: [],\n summary: \"No new reviews available\"\n}"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-944,
496
],
"id": "d090d739-6cf0-40dd-ab6f-450278c3bc23",
"name": "Code"
},
{
"parameters": {
"resource": "webScrapper",
"dataset_id": {
"__rl": true,
"value": "gd_m734msue16e0adkbit",
"mode": "list",
"cachedResultName": "Apple App Store reviews "
},
"urls": "=[{\"url\":\"{{ $json.query }}\"}] ",
"requestOptions": {}
},
"type": "@brightdata/n8n-nodes-brightdata.brightData",
"typeVersion": 1,
"position": [
-2032,
336
],
"id": "cb315664-fa3f-4af7-b414-6a58d5306e4a",
"name": "Scrape App Store Reviews",
"credentials": {
"brightdataApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Start": {
"main": [
[
{
"node": "Scrape App Store Reviews",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
],
[
{
"node": "Get a row",
"type": "main",
"index": 0
}
]
]
},
"Get a row": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
],
[
{
"node": "Sentiment",
"type": "main",
"index": 0
}
]
]
},
"Create a row": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Limit": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Sentiment",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Summary",
"type": "main",
"index": 0
}
]
]
},
"GPT-5": {
"ai_languageModel": [
[
{
"node": "Summary",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Sentiment": {
"main": [
[
{
"node": "Create a row",
"type": "main",
"index": 0
}
]
]
},
"GPT-5-nano": {
"ai_languageModel": [
[
{
"node": "Sentiment",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"GPT-5-nano-2": {
"ai_languageModel": [
[
{
"node": "Structured Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Summary": {
"main": [
[
{
"node": "Output",
"type": "main",
"index": 0
}
]
]
},
"Available reviews": {
"main": [
[
{
"node": "Limit",
"type": "main",
"index": 0
}
],
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Scrape App Store Reviews": {
"main": [
[
{
"node": "Available reviews",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "0aec51ad-1f5b-40bd-8326-5fd254c1cbc3",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "uV2sfimMGxMmLZmR",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
brightdataApiopenAiApisupabaseApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
App Store Agent. Uses executeWorkflowTrigger, supabase, outputParserStructured, lmChatOpenAi. Event-driven trigger; 18 nodes.
Source: https://gist.github.com/msniezynski/b5bf719d6db988771df26e91dd634af1 — original creator credit. Request a take-down →
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