This workflow follows the Agent → Airtable 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": "Agent Visual Scraping + HTML",
"nodes": [
{
"parameters": {},
"id": "d78cf805-e0ea-41b7-af56-fc57ce00a49b",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
0,
0
],
"typeVersion": 1
},
{
"parameters": {
"url": "https://app.scrapingbee.com/api/v1",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "api_key",
"value": "TA CLE API"
},
{
"name": "url",
"value": "={{$json.url}}"
}
]
},
"options": {}
},
"id": "29b1e7f0-32c4-4882-8f7c-2017b76a85a6",
"name": "ScrapingBee- Get page HTML",
"type": "n8n-nodes-base.httpRequest",
"position": [
2000,
640
],
"typeVersion": 4.2
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "c53c5ed2-9c7b-4365-9953-790264c722ab",
"name": "url",
"type": "string",
"value": "={{ $json.url }}"
}
]
},
"options": {}
},
"id": "f44576e6-52f8-4625-a165-bfbc0d62dd3a",
"name": "Set fields",
"type": "n8n-nodes-base.set",
"position": [
1280,
0
],
"typeVersion": 3.4
},
{
"parameters": {
"url": "https://app.scrapingbee.com/api/v1",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "api_key",
"value": "TA CLE API"
},
{
"name": "url",
"value": "={{ $json.url }}"
},
{
"name": "screenshot_full_page",
"value": "true"
}
]
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "User-Agent",
"value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36"
}
]
},
"options": {}
},
"id": "e751205d-4ad8-4d0a-bb70-906f363b1fb4",
"name": "ScrapingBee - Get page screenshot",
"type": "n8n-nodes-base.httpRequest",
"position": [
1700,
0
],
"typeVersion": 4.2
},
{
"parameters": {},
"id": "7e06da71-bcf6-4879-bc74-74014fdd06fc",
"name": "HTML-Scraping Tool",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1200,
640
],
"typeVersion": 1
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "c53c5ed2-9c7b-4365-9953-790264c722ab",
"name": "url",
"type": "string",
"value": "={{ $json.query }}"
}
]
},
"options": {}
},
"id": "b7736159-bf73-4bac-ae08-445a5d3d2a45",
"name": "Set fields - from AI agent query",
"type": "n8n-nodes-base.set",
"position": [
1600,
640
],
"typeVersion": 3.4
},
{
"parameters": {
"html": "={{ $json.data }}",
"options": {}
},
"id": "598395f7-f95b-4403-adf2-02ab246e6f6a",
"name": "HTML to Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
2460,
640
],
"typeVersion": 1
},
{
"parameters": {
"operation": "search",
"base": {
"__rl": true,
"value": "appRmm9kkMqVyn8Qi",
"mode": "list",
"cachedResultName": "Base D\u00e9monstration N8N",
"cachedResultUrl": "https://airtable.com/appRmm9kkMqVyn8Qi"
},
"table": {
"__rl": true,
"value": "tblWpSOaWGis3C0Zy",
"mode": "list",
"cachedResultName": "Site \u00e0 scraper",
"cachedResultUrl": "https://airtable.com/appRmm9kkMqVyn8Qi/tblWpSOaWGis3C0Zy"
},
"options": {}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
500,
0
],
"id": "a43cc96d-d7a5-4408-855b-4f966c2fa510",
"name": "Airtable",
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"fieldToSplitOut": "output",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
2460,
0
],
"id": "e6ba5e9f-7784-42a6-bfc7-c9814f4fe38a",
"name": "Split Out"
},
{
"parameters": {
"operation": "create",
"base": {
"__rl": true,
"value": "appRmm9kkMqVyn8Qi",
"mode": "list",
"cachedResultName": "Base D\u00e9monstration N8N",
"cachedResultUrl": "https://airtable.com/appRmm9kkMqVyn8Qi"
},
"table": {
"__rl": true,
"value": "tblynwBQ4HwBPSFHf",
"mode": "list",
"cachedResultName": "Livre",
"cachedResultUrl": "https://airtable.com/appRmm9kkMqVyn8Qi/tblynwBQ4HwBPSFHf"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Nom du livre": "={{ $json.Nom_du_livre }}",
"Auteur": "={{ $json.Auteur_1 }}",
"Type de livre": "={{ $json.Type_livre }}",
"Prix": "={{ $json.Prix }}",
"Nombre d'avis": "={{ $json.Nb_avis }}",
"Note": "={{ $json.Note.round() }}"
},
"matchingColumns": [],
"schema": [
{
"id": "Nom du livre",
"displayName": "Nom du livre",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Auteur",
"displayName": "Auteur",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "2eme Auteur",
"displayName": "2eme Auteur",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Type de livre",
"displayName": "Type de livre",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "options",
"options": [
{
"name": "Broch\u00e9",
"value": "Broch\u00e9"
},
{
"name": "Poche",
"value": "Poche"
},
{
"name": "Reli\u00e9",
"value": "Reli\u00e9"
}
],
"readOnly": false,
"removed": false
},
{
"id": "Prix",
"displayName": "Prix",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "number",
"readOnly": false,
"removed": false
},
{
"id": "Note",
"displayName": "Note",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Nombre d'avis",
"displayName": "Nombre d'avis",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "number",
"readOnly": false,
"removed": false
}
]
},
"options": {}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
2700,
0
],
"id": "be2290f2-65f3-45f8-aa25-2c1164cb33ca",
"name": "Airtable1",
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"name": "Scrape_HTML_Page",
"description": "=Appeler cet outil pour r\u00e9cuperer le lien/URL vers chaque livre ",
"workflowId": {
"__rl": true,
"value": "sQAxK6IhSrq3SQyg",
"mode": "list",
"cachedResultName": "Scraping Stor Systemes"
},
"responsePropertyName": "data"
},
"id": "bccaad09-cf8b-405b-932a-9ca825a6c9b0",
"name": "Scrape_HTML_Page",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
2020,
280
],
"typeVersion": 1.2
},
{
"parameters": {
"content": "Outil n\u00b01 - Scraper Page HTML",
"height": 280,
"width": 1760
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1040,
560
],
"id": "512f2f16-bcf0-45bc-8598-3b6c53579772",
"name": "Sticky Note"
},
{
"parameters": {
"promptType": "define",
"text": "=Voici le screenshot de la page comportant les livres dont tu dois analys\u00e9s les informations :\n\n{{ $json.url }}",
"hasOutputParser": true,
"options": {
"systemMessage": "=Extraire les informations suivantes sur la page: \n\n- Nom du Livre\n- Auteur du Livre\n- 2eme Auteur du Livre\n- Prix du Livre\n- Note sur 5 \u00e9toiles\n- Nombre d'avis\n- Type de livre\n\n\u00c9tape 1 : Extraction bas\u00e9e sur l\u2019image\n\n- Analyser la capture d\u2019\u00e9cran fournie pour identifier et extraire les informations donn\u00e9es. (Exemple r\u00e9cuperer les informartions de l'auteur, note 5 \u00e9toiles)\n- Assurez-vous que l\u2019extraction soit compl\u00e8te et validez l'information sur chacun des livres.\n\n- Mettez en \u00e9vidence toute limitation (par exemple, texte flou, partiellement rogn\u00e9 ou manquant) rencontr\u00e9e lors du processus d\u2019extraction.\n\n\u00c9tape 2 : Utiliser l'outil : Scrape_HTML_Page pour obtenir le lien vers les livres amazon\n\n- Appelez l'outil : Scrape_HTML_Page avec l\u2019URL d\u2019entr\u00e9e pour acc\u00e9der au contenu de la page.\n- Extrayez les informations demand\u00e9es \u00e0 partir du HTML pour compl\u00e9ter ou remplacer le r\u00e9sultat bas\u00e9s sur l\u2019image.\n- Combinez les donn\u00e9es issues des deux sources (si applicable) pour garantir un r\u00e9sultat final exhaustif et pr\u00e9cis.\n\nExemples de r\u00e9ponse d'extraction du nombre de pages\n\n\" Nom du livre : Les Mis\u00e9rables \nde Victor Hugo et Benoit Ferrere\n4,5 \u00e9toiles 9,9k \nPoche\n10,70\u20ac\"\n\n\nNote additionnels\n\nUtiliser l'outil Scrape_HTML_Page pour obtenir le lien vers le livre\n\nExemple de sortie\n\nPour chaque livre obtenu, le json doit \u00eatre dans ce format exactement: \n\n[\n\n{\n \"Nom_du_livre\":\"Les Mis\u00e9rables\",\n \"Auteur_1\":\"Victor Hugo\",\n \"Auteur_2\":\"Benoit Ferrere\",\n \"Note\":5,\n \"Type_livre\":\"Broch\u00e9\",\n \"Nb_avis\":9000,\n \"Prix\":10,70\n}\n\n]",
"passthroughBinaryImages": true
}
},
"id": "acd0740c-4fec-4adc-a5ac-01a37ba9140c",
"name": "Agent Analyseur d'images",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1980,
0
],
"typeVersion": 1.7
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"typeVersion": 1,
"position": [
2220,
200
],
"id": "5e9ef4ce-e1b2-48ab-84b2-a8dd57e2ec48",
"name": "Auto-fixing Output Parser"
},
{
"parameters": {
"jsonSchemaExample": "[\n\n{\n \"Nom_du_livre\":\"Les Mis\u00e9rables\",\n \"Auteur_1\":\"Victor Hugo\",\n \"url_livre:\":\"https://www.amazon.fr/mis%C3%A9rables-Fantine-int%C3%A9gral-%C3%89dition-illustr%C3%A9e/dp/B085QDM14S/ref=sr_1_1_sspa?crid=15XPQBVY467BL&dib=eyJ2IjoiMSJ9.a-et2m9aSHTBUI67jkTfzX0GxGR2HMwG5D9iBlTC9Q3ytBgmjJL4YjGpJnASKPh9FPIECTWm32XfTKQDmJWLBjTvZXJBA8ITVap9kdVHH9yIL_HpKMs1w4ErFan6IgxwKGmiKoib0YJYO7S8q6iaE_gA4TuTuxnROwRBD9XDSSk_7tP-9fl7wRAdb0jRKyVc3HNRWNJLFAsl8io6h7eyjoANAtSlb2d742fSeSE9XI9WRv1jFzlJhhUGPWx7SubtRCC88qjTgCrW3CPToAmRhi6HffcgmAhW--blkspvjCc.5ciNhoEZySSJZXTgK_zNRa_hj8LDyKrG0xN1-UMvLT8&dib_tag=se&keywords=les+miserables+victor+hugo&qid=1734019684&sprefix=les+miserab%2Caps%2C131&sr=8-1-spons&sp_csd=d2lkZ2V0TmFtZT1zcF9hdGY&psc=1\",\n \"Auteur_2\":\"Benoit Ferrere\",\n \"Note\":4,\n \"Type_livre\":\"Broch\u00e9\",\n \"Nb_avis\":9000,\n \"Prix\":10.7\n}\n\n]"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
2460,
360
],
"id": "3c80ba9b-4d3b-4334-aea6-6596dab9908c",
"name": "Structured Output Parser"
},
{
"parameters": {
"modelName": "models/gemini-1.5-pro-latest",
"options": {}
},
"id": "df394dc9-4d20-40a8-b5e9-2183f5337e2d",
"name": "Google Gemini Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
2220,
380
],
"typeVersion": 1,
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"modelName": "models/gemini-1.5-pro-latest",
"options": {}
},
"id": "faeb2cf9-6aa6-47c4-b9c6-811a283be981",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1800,
260
],
"typeVersion": 1,
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Airtable",
"type": "main",
"index": 0
}
]
]
},
"ScrapingBee- Get page HTML": {
"main": [
[
{
"node": "HTML to Markdown",
"type": "main",
"index": 0
}
]
]
},
"Set fields": {
"main": [
[
{
"node": "ScrapingBee - Get page screenshot",
"type": "main",
"index": 0
}
]
]
},
"ScrapingBee - Get page screenshot": {
"main": [
[
{
"node": "Agent Analyseur d'images",
"type": "main",
"index": 0
}
]
]
},
"HTML-Scraping Tool": {
"main": [
[
{
"node": "Set fields - from AI agent query",
"type": "main",
"index": 0
}
]
]
},
"Set fields - from AI agent query": {
"main": [
[
{
"node": "ScrapingBee- Get page HTML",
"type": "main",
"index": 0
}
]
]
},
"Airtable": {
"main": [
[
{
"node": "Set fields",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Airtable1",
"type": "main",
"index": 0
}
]
]
},
"Scrape_HTML_Page": {
"ai_tool": [
[
{
"node": "Agent Analyseur d'images",
"type": "ai_tool",
"index": 0
}
]
]
},
"Agent Analyseur d'images": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Auto-fixing Output Parser": {
"ai_outputParser": [
[
{
"node": "Agent Analyseur d'images",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Agent Analyseur d'images",
"type": "ai_languageModel",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "63c25c64-acc3-4559-a6ae-89587163fe31",
"id": "99Vigtu32QjPNRjk",
"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.
airtableTokenApigooglePalmApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Agent Visual Scraping + HTML. Uses httpRequest, executeWorkflowTrigger, airtable, toolWorkflow. Event-driven trigger; 17 nodes.
Source: https://github.com/Quentin-aq/ai-build/blob/98419d1e0a8f818962058937d99603bd2ba242f3/workflows-ia-n8n/Agent_Visual_Scraping___HTML.json — original creator credit. Request a take-down →
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