Automatisation Google Sheets avec n8n : extraction d'emails Google Maps
- Ce workflow n8n a pour objectif d'automatiser l'extraction d'emails à partir des résultats de recherche sur Google Maps. Il s'adresse aux entreprises souhaitant enrichir leur base de données clients ou prospects en récupérant des informations pertinentes directement depuis Google Maps. Grùce à ce processus, les équipes marketing et commerciales peuvent gagner un temps précieux en automatisant la collecte d'emails, ce qui leur permet de se concentrer sur des tùches à plus forte valeur ajoutée.
- Le workflow dĂ©bute par un dĂ©clencheur manuel ou automatique qui lance le processus. Ensuite, il utilise le noeud 'Search Google Maps with query' pour effectuer des recherches basĂ©es sur des requĂȘtes dĂ©finies. Les rĂ©sultats sont ensuite traitĂ©s par le noeud 'Scrape URLs from results' pour extraire les liens pertinents. Ces liens sont filtrĂ©s pour Ă©liminer les doublons et les URL non pertinentes grĂące aux noeuds 'Remove Duplicate URLs' et 'Filter irrelevant URLs'.
- Une fois les URL valides, le workflow effectue des requĂȘtes HTTP pour accĂ©der aux pages web correspondantes, oĂč il extrait les emails via le noeud 'Scrape emails from page'. Les emails collectĂ©s sont ensuite agrĂ©gĂ©s, filtrĂ©s pour Ă©liminer les doublons et les non pertinents, et enfin enregistrĂ©s dans une feuille Google Sheets. Cette automatisation n8n permet non seulement d'optimiser le processus de collecte d'emails, mais aussi d'assurer une mise Ă jour rĂ©guliĂšre des donnĂ©es, augmentant ainsi l'efficacitĂ© des campagnes marketing et la qualitĂ© des interactions avec les clients.
Workflow n8n Google Sheets, extraction d'emails, Google Maps : vue d'ensemble
SchĂ©ma des nĆuds et connexions de ce workflow n8n, gĂ©nĂ©rĂ© Ă partir du JSON n8n.
Workflow n8n Google Sheets, extraction d'emails, Google Maps : dĂ©tail des nĆuds
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"name": "Google Maps Email Scraper Template",
"tags": [],
"nodes": [
{
"id": "79df5316-c210-478d-a4de-35b5d31924ee",
"name": "Remove Duplicate URLs",
"type": "n8n-nodes-base.removeDuplicates",
"position": [
-780,
380
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "985ac7e3-b501-4079-a043-780677c94b52",
"name": "Loop over queries",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-1080,
-100
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "3a478935-781b-4fb1-bdc7-fcf8be1334bc",
"name": "Search Google Maps with query",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1380,
380
],
"parameters": {
"url": "=https://www.google.com/maps/search/{{ $json.query }}",
"options": {
"allowUnauthorizedCerts": false
}
},
"executeOnce": false,
"typeVersion": 4.2,
"alwaysOutputData": false
},
{
"id": "477e7d55-b7d6-4b20-ac44-dd1f443e270a",
"name": "Scrape URLs from results",
"type": "n8n-nodes-base.code",
"position": [
-1180,
380
],
"parameters": {
"jsCode": "const data = $input.first().json.data\n\nconst regex = /https?:\\/\\/[^\\/]+/g\n\nconst urls = data.match(regex)\n\nreturn urls.map(url => ({json: {url: url}}))"
},
"typeVersion": 2
},
{
"id": "a5b67e45-a3f6-41d2-aa58-c26a441c41b2",
"name": "Filter irrelevant URLs",
"type": "n8n-nodes-base.filter",
"position": [
-980,
380
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "041797f2-2fe2-41dc-902a-d34050b9b304",
"operator": {
"type": "string",
"operation": "notRegex"
},
"leftValue": "={{ $json.url }}",
"rightValue": "=(google|gstatic|ggpht|schema\\.org|example\\.com|sentry-next\\.wixpress\\.com|imli\\.com|sentry\\.wixpress\\.com|ingest\\.sentry\\.io)"
},
{
"id": "eb499a7e-17bc-453c-be08-a47286f726dd",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "40ec6d1f-1c98-4c9f-8499-c5893c3df7b9",
"name": "Request web page for URL",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
-380,
460
],
"parameters": {
"url": "={{ $json.url }}",
"options": {}
},
"typeVersion": 4.2,
"alwaysOutputData": false
},
{
"id": "12f662a8-c55f-409a-b381-f37ab6dd3794",
"name": "Loop over URLs",
"type": "n8n-nodes-base.splitInBatches",
"onError": "continueErrorOutput",
"position": [
-580,
380
],
"parameters": {
"options": {
"reset": false
}
},
"typeVersion": 3
},
{
"id": "e6957d05-3533-48ae-9cc1-ee4ac026a2a6",
"name": "Loop over pages",
"type": "n8n-nodes-base.splitInBatches",
"onError": "continueErrorOutput",
"position": [
-360,
120
],
"parameters": {
"options": {}
},
"typeVersion": 3,
"alwaysOutputData": false
},
{
"id": "018621c0-0ea9-4865-b110-b6d0727f0588",
"name": "Scrape emails from page",
"type": "n8n-nodes-base.code",
"onError": "continueRegularOutput",
"position": [
-200,
220
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const data = $json.data\n\nconst emailRegex = /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.(?!png|jpg|gif|jpeg)[a-zA-Z]{2,}/g\n\nconst emails = data.match(emailRegex)\n\nreturn {json: {emails: emails}}"
},
"typeVersion": 2
},
{
"id": "5509b8e2-a6fc-4fbe-bbc5-1bc1d5de1c98",
"name": "Aggregate arrays of emails",
"type": "n8n-nodes-base.aggregate",
"position": [
-40,
100
],
"parameters": {
"options": {
"mergeLists": true
},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "emails"
}
]
}
},
"typeVersion": 1
},
{
"id": "f1f01f03-b62e-453f-b938-ffe4f9b3f4de",
"name": "Split out into default data structure",
"type": "n8n-nodes-base.splitOut",
"position": [
180,
100
],
"parameters": {
"options": {},
"fieldToSplitOut": "emails"
},
"typeVersion": 1
},
{
"id": "ec27d665-d9c1-4f10-9c52-0d5ea89cbf77",
"name": "Remove duplicate emails",
"type": "n8n-nodes-base.removeDuplicates",
"position": [
400,
100
],
"parameters": {
"compare": "selectedFields",
"options": {},
"fieldsToCompare": "emails"
},
"typeVersion": 1.1
},
{
"id": "4a071bf0-23ad-455b-b231-bafd3b32e4f8",
"name": "Filter irrelevant emails",
"type": "n8n-nodes-base.filter",
"position": [
600,
100
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "041797f2-2fe2-41dc-902a-d34050b9b304",
"operator": {
"type": "string",
"operation": "notRegex"
},
"leftValue": "={{ $json.emails }}",
"rightValue": "=(google|gstatic|ggpht|schema\\.org|example\\.com|sentry\\.wixpress\\.com|sentry-next\\.wixpress\\.com|ingest\\.sentry\\.io|sentry\\.io|imli\\.com)"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "59675faa-2b0d-4ba5-82c7-dc5dedcad31e",
"name": "Save emails to Google Sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
800,
100
],
"parameters": {
"columns": {
"value": {
"Emails": "={{ $json.emails }}"
},
"schema": [
{
"id": "Emails",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Emails",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Emails"
]
},
"options": {},
"operation": "append"
},
"typeVersion": 4.5
},
{
"id": "93437e8b-4f8d-40a1-9585-cab1b556164a",
"name": "Starts scraper workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-1600,
380
],
"parameters": {},
"typeVersion": 1
},
{
"id": "eed77477-777d-450d-a975-4d2848b1cf55",
"name": "Run workflow",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1320,
-100
],
"parameters": {},
"typeVersion": 1
},
{
"id": "dffaf04e-d1d2-4002-9a69-f0904b61fc2d",
"name": "Wait between executions",
"type": "n8n-nodes-base.wait",
"position": [
-700,
0
],
"webhookId": "40eb11a9-0f7d-4932-993e-0052b69dbf9b",
"parameters": {
"amount": 2
},
"typeVersion": 1.1
},
{
"id": "18787007-1d11-41b9-89c3-d5f69756eda7",
"name": "Execute scraper for query",
"type": "n8n-nodes-base.executeWorkflow",
"position": [
-880,
0
],
"parameters": {
"mode": "each",
"options": {
"waitForSubWorkflow": false
},
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
}
},
"typeVersion": 1.1
},
{
"id": "67fcde25-05e4-437c-b799-4448baea7891",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2280,
-140
],
"parameters": {
"color": 5,
"width": 740,
"height": 180,
"content": "## đ Setup\n1. Setup your list of queries in the \"Run workflow\" manual trigger node. Watch this [video](https://youtu.be/HaiO-UeiKBA) on how to generate the queries with ChatGPT.\n3. Choose a sheet to populate with data in the **Google Sheets node**\n4. Run the workflow and start getting leads into your Google Sheets document"
},
"typeVersion": 1
},
{
"id": "ac880457-44b4-4ff7-8440-b4107f8468bb",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-700,
-120
],
"parameters": {
"color": 6,
"height": 100,
"content": "**Optional** đ\nSet wait time between each query workflow execution. Default is 2 seconds."
},
"typeVersion": 1
},
{
"id": "d83afb3d-7b71-4b47-9b50-28837aac408c",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1600,
260
],
"parameters": {
"width": 480,
"height": 100,
"content": "### Scraper đ\nThis workflow will be executed in the background for each query. Click the **All executions** tab in the left sidebar to see the executions running."
},
"typeVersion": 1
},
{
"id": "007b621a-3d41-4358-aa45-560a3c8e3414",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
300
],
"parameters": {
"color": 4,
"height": 180,
"content": "đ \n1. Setup your **credentials**. Here's a [video tutorial](https://youtu.be/O5RnWDM27M8) on how to do that.\n\n2. Choose which document and sheet to save the scraped emails to. "
},
"typeVersion": 1
},
{
"id": "fc0b837f-624c-4d25-8ed7-f787f76c785b",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1760,
-360
],
"parameters": {
"color": 3,
"content": " ## â ïž Note\n\nA [video tutorial](https://youtu.be/HaiO-UeiKBA) for this workflow guide is available on my [Youtube channel](https://www.youtube.com/channel/UCn8xmUBunez1SsDVRfZDUGA)"
},
"typeVersion": 1
},
{
"id": "2f8665d5-2890-4f7d-908b-9c09a66b6c93",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2280,
-360
],
"parameters": {
"color": 7,
"width": 480,
"height": 140,
"content": "## Google Maps Automatic Email Scraper\n\nThis workflow automatically scrapes emails from businesses on Google Maps based on a list of queries that you provide."
},
"typeVersion": 1
},
{
"id": "7414b2ed-259d-47da-bbd1-d9ce0d64d43c",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1000,
540
],
"parameters": {
"color": 6,
"width": 160,
"height": 100,
"content": "**Optional** đ\nAdd or change the regex for filtering irrelevant URLs."
},
"typeVersion": 1
},
{
"id": "789c9a02-e6e7-4ea6-a7a2-acc7715b377a",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
580,
260
],
"parameters": {
"color": 6,
"width": 200,
"height": 100,
"content": "**Optional** đ\nAdd or change the regex for filtering irrelevant/incorrect email addresses."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {
"Run workflow": [
{
"json": {
"query": "hollywood+dentist"
}
},
{
"json": {
"query": "downtown+los+angeles+dentist"
}
},
{
"json": {
"query": "santa+monica+dentist"
}
},
{
"json": {
"query": "westwood+dentist"
}
},
{
"json": {
"query": "west+l.a.+dentist"
}
},
{
"json": {
"query": "the+valley+dentist"
}
},
{
"json": {
"query": "echo+park+dentist"
}
},
{
"json": {
"query": "culver+city+dentist"
}
},
{
"json": {
"query": "pasadena+dentist"
}
},
{
"json": {
"query": "silver+lake+dentist"
}
},
{
"json": {
"query": "mid-wilshire+dentist"
}
},
{
"json": {
"query": "beverly+hills+dentist"
}
},
{
"json": {
"query": "north+hills+dentist"
}
},
{
"json": {
"query": "south+los+angeles+dentist"
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"connections": {
"Run workflow": {
"main": [
[
{
"node": "Loop over queries",
"type": "main",
"index": 0
}
]
]
},
"Loop over URLs": {
"main": [
[
{
"node": "Loop over pages",
"type": "main",
"index": 0
}
],
[
{
"node": "Request web page for URL",
"type": "main",
"index": 0
}
]
]
},
"Loop over pages": {
"main": [
[
{
"node": "Aggregate arrays of emails",
"type": "main",
"index": 0
}
],
[
{
"node": "Scrape emails from page",
"type": "main",
"index": 0
}
]
]
},
"Loop over queries": {
"main": [
[],
[
{
"node": "Execute scraper for query",
"type": "main",
"index": 0
}
]
]
},
"Remove Duplicate URLs": {
"main": [
[
{
"node": "Loop over URLs",
"type": "main",
"index": 0
}
]
]
},
"Filter irrelevant URLs": {
"main": [
[
{
"node": "Remove Duplicate URLs",
"type": "main",
"index": 0
}
]
]
},
"Remove duplicate emails": {
"main": [
[
{
"node": "Filter irrelevant emails",
"type": "main",
"index": 0
}
]
]
},
"Scrape emails from page": {
"main": [
[
{
"node": "Loop over pages",
"type": "main",
"index": 0
}
]
]
},
"Starts scraper workflow": {
"main": [
[
{
"node": "Search Google Maps with query",
"type": "main",
"index": 0
}
]
]
},
"Wait between executions": {
"main": [
[
{
"node": "Loop over queries",
"type": "main",
"index": 0
}
]
]
},
"Filter irrelevant emails": {
"main": [
[
{
"node": "Save emails to Google Sheet",
"type": "main",
"index": 0
}
]
]
},
"Request web page for URL": {
"main": [
[
{
"node": "Loop over URLs",
"type": "main",
"index": 0
}
]
]
},
"Scrape URLs from results": {
"main": [
[
{
"node": "Filter irrelevant URLs",
"type": "main",
"index": 0
}
]
]
},
"Execute scraper for query": {
"main": [
[
{
"node": "Wait between executions",
"type": "main",
"index": 0
}
]
]
},
"Aggregate arrays of emails": {
"main": [
[
{
"node": "Split out into default data structure",
"type": "main",
"index": 0
}
]
]
},
"Search Google Maps with query": {
"main": [
[
{
"node": "Scrape URLs from results",
"type": "main",
"index": 0
}
]
]
},
"Split out into default data structure": {
"main": [
[
{
"node": "Remove duplicate emails",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Google Sheets, extraction d'emails, Google Maps : pour qui est ce workflow ?
Ce workflow est idéal pour les équipes marketing, les PME et les startups qui cherchent à automatiser la collecte d'emails à partir de Google Maps. Un niveau technique intermédiaire est recommandé pour la personnalisation et l'optimisation du workflow.
Workflow n8n Google Sheets, extraction d'emails, Google Maps : problÚme résolu
Ce workflow résout le problÚme de la collecte manuelle d'emails à partir de Google Maps, une tùche souvent fastidieuse et chronophage. En automatisant ce processus, les utilisateurs peuvent réduire considérablement le temps passé à rechercher des contacts, minimiser les erreurs humaines et garantir une base de données d'emails à jour et pertinente. Les résultats concrets incluent une augmentation de l'efficacité des campagnes d'emailing et une meilleure segmentation des prospects.
Workflow n8n Google Sheets, extraction d'emails, Google Maps : étapes du workflow
Ătape 1 : Le workflow est dĂ©clenchĂ© manuellement ou automatiquement.
- Ătape 1 : Il effectue une recherche sur Google Maps avec des requĂȘtes dĂ©finies.
- Ătape 2 : Les rĂ©sultats sont analysĂ©s pour extraire les URL pertinentes.
- Ătape 3 : Les URL sont filtrĂ©es pour Ă©liminer les doublons et les non pertinents.
- Ătape 4 : Le workflow accĂšde aux pages web des URL valides.
- Ătape 5 : Les emails sont extraits des pages web.
- Ătape 6 : Les emails collectĂ©s sont agrĂ©gĂ©s et filtrĂ©s pour garantir leur pertinence.
- Ătape 7 : Enfin, les emails sont enregistrĂ©s dans une feuille Google Sheets.
Workflow n8n Google Sheets, extraction d'emails, Google Maps : guide de personnalisation
Pour personnaliser ce workflow, commencez par ajuster les requĂȘtes de recherche dans le noeud 'Search Google Maps with query' selon vos besoins. Vous pouvez Ă©galement modifier les paramĂštres de filtrage dans les noeuds 'Filter irrelevant URLs' et 'Filter irrelevant emails' pour mieux cibler les rĂ©sultats souhaitĂ©s. Assurez-vous que l'ID de la feuille Google Sheets dans le noeud 'Save emails to Google Sheet' est correct. Pour une sĂ©curitĂ© accrue, envisagez d'ajouter des vĂ©rifications supplĂ©mentaires ou des notifications en cas d'erreurs dans le flux.