This workflow follows the Execute Workflow Trigger → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "e893e48c-1b69-413a-90d7-ad6ce5987e7c",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-180,
-60
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1c42e95b-705d-43ae-91ce-1029334b9e9a",
"name": "Retrieve detailed call data",
"type": "n8n-nodes-base.httpRequest",
"position": [
60,
40
],
"parameters": {
"url": "https://api.gong.io/v2/calls/extensive",
"options": {
"fullResponse": true
},
"requestMethod": "POST",
"authentication": "genericCredentialType",
"jsonParameters": true,
"genericAuthType": "httpHeaderAuth",
"bodyParametersJson": "={\n \"contentSelector\": {\n \"context\": \"Extended\",\n \"contextTiming\": [\"Now\", \"TimeOfCall\"],\n \"exposedFields\": {\n \"collaboration\": {\n \"publicComments\": true\n },\n \"content\": {\n \"pointsOfInterest\": true,\n \"structure\": true,\n \"topics\": true,\n \"trackers\": true\n },\n \"interaction\": {\n \"personInteractionStats\": true,\n \"questions\": true,\n \"speakers\": true,\n \"video\": true\n },\n \"media\": false,\n \"parties\": true\n }\n },\n \"filter\": {\n \"callIds\": [\"{{ $json['calldata[0].calls'].id }}\"]\n }\n}"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "69c9ef1a-9ef4-4c3f-ab62-a5c9b2a10a4e",
"name": "Get transcript",
"type": "n8n-nodes-base.httpRequest",
"position": [
60,
-140
],
"parameters": {
"url": "https://api.gong.io/v2/calls/transcript?callIds=1807130744801961509",
"options": {
"fullResponse": true
},
"requestMethod": "POST",
"authentication": "genericCredentialType",
"jsonParameters": true,
"genericAuthType": "httpHeaderAuth",
"bodyParametersJson": "={\"filter\":{\"callIds\":[\"{{ $json['calldata[0].calls'].id }}\"]}}"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "a9643d2c-6245-4c40-92ee-49eb667e3348",
"name": "Join Transcript to String",
"type": "n8n-nodes-base.set",
"position": [
260,
-140
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c9828e0c-fce4-487d-b5cb-bff625cb7c8e",
"name": "Conversation",
"type": "array",
"value": "={{ $jmespath($json.body.callTranscripts, '[].transcript[].{\"speaker\": speakerId, \"text\": sentences[].text}') }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "ce7cce2a-95b2-4d74-865d-d1af028e16de",
"name": "Isolate Notion Data",
"type": "n8n-nodes-base.set",
"position": [
2720,
-100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ee14c39a-1590-4262-b5ab-36640a6e3c31",
"name": "metaData.CompanyName",
"type": "string",
"value": "={{ $json.sfOpp[0].Name }}"
},
{
"id": "0d323985-076c-456f-bf4c-d9520b07f73d",
"name": "Attendees.internal",
"type": "array",
"value": "={{ $jmespath($json.gongData[0].parties, '[?affiliation==`Internal`].emailAddress') }}"
},
{
"id": "ee040180-fce4-4d68-a406-26a88a383c14",
"name": "metaData.title",
"type": "string",
"value": "={{ $json.gongData[0].metaData.title }}"
},
{
"id": "dea503f9-d575-4804-bbe7-0dcf7d5fbea4",
"name": "metaData.started",
"type": "string",
"value": "={{ $json.gongData[0].metaData.started }}"
},
{
"id": "91fa2545-6a02-43e6-b893-4d3133540a5c",
"name": "metaData.GongCallID",
"type": "string",
"value": "={{ $json.gongData[0].metaData.id }}"
},
{
"id": "c0cbfa8b-40d1-4838-a375-88ea8eb85170",
"name": "metaData.url",
"type": "string",
"value": "={{ $json.gongData[0].metaData.url }}"
},
{
"id": "d10a0184-f17c-4fd6-aed5-72656e15f856",
"name": "Conversation",
"type": "string",
"value": "={{ $json.gongData[0].conversationText }}"
},
{
"id": "02eb0113-7e52-4931-bd10-3f2bee87d984",
"name": "Attendees.external",
"type": "array",
"value": "={{ $jmespath($json.gongData[0].parties, '[?affiliation==`External` || affiliation==`Unknown`].emailAddress') }}"
},
{
"id": "c2183c7b-d552-4a16-bb08-c9ed247f8111",
"name": "Attendees.externalNames",
"type": "array",
"value": "={{ $jmespath($json.gongData[0].parties, '[?affiliation==`External` || affiliation==`Unknown`].name') }}"
},
{
"id": "a232bd40-ae56-4c12-8b3f-9062d4880415",
"name": "Attendees.internalNames",
"type": "array",
"value": "={{ $jmespath($json.gongData[0].parties, '[?affiliation==`Internal`].name') }}"
},
{
"id": "99f7143e-af6c-45d2-b3a1-c5169c6632eb",
"name": "metaData.Integrations",
"type": "string",
"value": "={{ $('Execute Workflow Trigger').item.json['calldata[1].integrations'] }}"
},
{
"id": "7fe14a89-5fda-4594-8b5a-6fbd8a519db9",
"name": "metaData.Competitors",
"type": "string",
"value": "={{ $('Execute Workflow Trigger').item.json['calldata[2].competitors'] }}"
},
{
"id": "29fb3dbe-071c-4b02-9dd9-afa4c3a4ad8f",
"name": "metaData.domain",
"type": "string",
"value": "={{ \n (() => {\n // List of known free email domains\n const freeEmailDomains = [\n 'gmail.com',\n 'yahoo.com',\n 'hotmail.com',\n 'outlook.com',\n 'aol.com',\n 'icloud.com',\n 'mail.com',\n 'yandex.com',\n 'protonmail.com'\n ];\n\n // Extract email addresses using JMESPath\n const emailAddresses = $jmespath($json.gongData[0].parties, '[?affiliation==`External` || affiliation==`Unknown`].emailAddress');\n\n // Function to extract the domain from an email address\n const extractDomain = (email) => email.match(/@([\\w.-]+)/)?.[1];\n\n // Filter out free email domains\n const companyDomains = emailAddresses\n .map(extractDomain)\n .filter(domain => domain && !freeEmailDomains.includes(domain.toLowerCase()));\n\n // Return the first non-free domain or \"Unknown\" if none are found\n return companyDomains[0] || 'Unknown';\n })()\n}}"
},
{
"id": "b28eb61e-6052-4022-9d31-447dbf877982",
"name": "sfOpp",
"type": "array",
"value": "={{ $json.sfOpp }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "38574bd1-82f3-4499-9369-9241e41b35d1",
"name": "Join Affiliation",
"type": "n8n-nodes-base.code",
"position": [
740,
-120
],
"parameters": {
"jsCode": "// Retrieve input data from all items\nconst inputData = $input.all();\nconst originalJson = inputData[0].json; // Get the original JSON data\nconst conversation = originalJson.Conversation;\nconst parties = originalJson.parties;\n\n// Create a mapping of speakerId to affiliation\nconst affiliationMap = {};\nparties.forEach(party => {\n affiliationMap[party.speakerId] = party.affiliation;\n});\n\n// Replace speakerId with affiliation in the conversation data\nconst updatedConversation = conversation.map(entry => {\n const affiliation = affiliationMap[entry.speaker] || 'Unknown'; // Fallback to 'Unknown' if not found\n return {\n ...entry,\n speaker: affiliation, // Replace speakerId with affiliation\n };\n});\n\n// Return the updated conversation along with the original JSON data\nreturn [{ json: { ...originalJson, updatedConversation } }];\n"
},
"typeVersion": 2
},
{
"id": "15809205-cb1d-4d83-8c67-35ab486071b2",
"name": "Join conversation",
"type": "n8n-nodes-base.code",
"position": [
940,
-120
],
"parameters": {
"jsCode": "// Retrieve the original JSON data\nconst originalJson = $json;\nconst conversation = originalJson.updatedConversation;\n\n// Create an array to hold the formatted lines\nconst formattedLines = [];\n\n// Iterate over each entry in the conversation\nconversation.forEach(entry => {\n const speaker = entry.speaker;\n const texts = entry.text;\n\n // Iterate over each text item and format it as \"speaker: text\"\n texts.forEach(line => {\n formattedLines.push(`${speaker}: ${line}`);\n });\n});\n\n// Join the formatted lines with newline characters\nconst result = formattedLines.join('\\n');\n\n// Return the original JSON data along with the new conversationText field\nreturn [{ json: { ...originalJson, conversationText: result } }];\n"
},
"typeVersion": 2
},
{
"id": "1ac9e862-ddf2-4cd5-9339-c69061182231",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-600,
-500
],
"parameters": {
"width": 340,
"height": 820,
"content": "\n## CallForge - The AI Gong Sales Call Processor\nCallForge allows you to extract important information for different departments from your Sales Gong Calls. \n\n### Transcript PreProcessor\nThis workflow preps the call transcripts to pass into the call processor. It starts by using the code node to separate the different speakers into either Internal or External speaker. It also pulls data from Salesforce to enrich the call data by pulling things such as company name. "
},
"typeVersion": 1
},
{
"id": "7d8f99e2-13c7-4bf2-becc-c7b5c663028d",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-340
],
"parameters": {
"color": 7,
"width": 720,
"height": 660,
"content": "\ud83d\ude80 Automate Gong call transcript processing to save time.\n\n\ud83d\udcca Improve AI accuracy with enriched, structured data.\n\n\ud83d\udee0 Enhance sales strategy by extracting actionable insights from calls.\n\nStart optimizing your Gong transcript analysis today!\n\nAngel Menendez\n\nAngel Menendez\n\nAngel Menendez\n\nMilorad Filipovi\u0107\n\nMihai Farcas\n\nTom\n\nn8n Team\n\nNot Another Marketer\n\nJoseph LePage\n\nOur customer\u2019s words, not ours.\n\nSkeptical? Try it out, and see for yourself.\n\nBuild complex workflows that other tools can't. I used other tools before. I got to know the N8N and I say it properly: it is better to do everything on the n8n! Congratulations on your work, you are a star!\n\n@igordisco\n\nThank you to the n8n community. I did the beginners course and promptly took an automation WAY beyond my skill level.\n\n@robm\n\nn8n is a beast for automation. self-hosting and low-code make it a dev\u2019s dream. if you\u2019re not automating yet, you\u2019re working too hard.\n\n@Anderoav\n\nI've said it many times. But I'll say it again. n8n is the GOAT. Anything is possible with n8n. You just need some technical knowledge + imagination. I'm actually looking to start a side project. Just to have an excuse to use n8n more \ud83d\ude05\n\n@maximpoulsen\n\nIt blows my mind. I was hating on no-code tools my whole life, but n8n changed everything. Made a Slack agent that can basically do everything, in half an hour.\n\n@felixleber\n\nI just have to say, n8n's integration with third-party services is absolutely mind-blowing. It's like having a Swiss Army knife for automation. So many tasks become a breeze, and I can quickly validate and implement my ideas without any hassle.\n\n@1ronben\n\nFound the holy grail of automation yesterday... Yesterday I tried n8n and it blew my mind \ud83e\udd2f What would've taken me 3 days to code from scratch? Done in 2 hours. The best part? If you still want to get your hands dirty with code (because let's be honest, we developers can't help ourselves \ud83d\ude05), you can just drop in custom code nodes. Zero restrictions.\n\n@francois-la\u00dfl\n\nAnything is possible with n8n. I think @n8n_io Cloud version is great, they are doing amazing stuff and I love that everything is available to look at on Github.\n\n@jodiem\n\nAutomate without limits\n\nImprint\n\n|\n\nSecurity\n\n|\n\nPrivacy\n\n|\n\nReport a vulnerability\n\n\u00a9 2025 n8n \u00a0 | \u00a0 All rights reserved."
},
"typeVersion": 1
},
{
"id": "1454276d-46e6-40b2-9494-c9c380f3eaa1",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
500,
-340
],
"parameters": {
"color": 7,
"width": 580,
"height": 660,
"content": "## Format Call Transcript \nHere we join the call transcript together and then set the speaker as either Internal (for our sales team) or External (for our customers). "
},
"typeVersion": 1
},
{
"id": "d7fa6f56-8234-4995-b559-4809095efcb4",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
-340
],
"parameters": {
"color": 7,
"width": 1320,
"height": 780,
"content": "## Enrich Call Data\nHere we get the Pipedrive ID using the email domain and use that to search pipedrive for the customer. We also pass the domain into the People Data Labs api to get location data. "
},
"typeVersion": 1
},
{
"id": "b5274357-4e45-4d8b-938d-b3c66f98c82f",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2440,
-340
],
"parameters": {
"color": 7,
"width": 480,
"height": 660,
"content": "## Extract Final Data Blob\nHere we merge the final outputs and get rid of anything we don't need for the final AI prompt. "
},
"typeVersion": 1
},
{
"id": "a940a941-f9e2-4449-895f-3268e2203a1e",
"name": "Extract SF Opp Data",
"type": "n8n-nodes-base.set",
"position": [
1700,
80
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "64f7f8ec-3c1c-4743-9e5b-6bb5d385e9d2",
"name": "SFOppId",
"type": "string",
"value": "={{ $json.Id }}"
},
{
"id": "85629904-617a-4a5f-87a3-72f2349cdf99",
"name": "OppType",
"type": "string",
"value": "={{ $json.Type }}"
},
{
"id": "f6ec091d-0784-4000-ad49-3bb6ece375ca",
"name": "LeadSource",
"type": "string",
"value": "={{ $json.LeadSource }}"
},
{
"id": "a3fd520e-3577-4c2d-a09a-ad3bc76e0bd7",
"name": "IsClosed",
"type": "boolean",
"value": "={{ $json.IsClosed }}"
},
{
"id": "8a1fac85-5f1b-4ab2-86ea-586df1e2af2b",
"name": "IsWon",
"type": "boolean",
"value": "={{ $json.IsWon }}"
},
{
"id": "0f86f2a2-94bb-412a-b831-974f2528fca3",
"name": "sfStage",
"type": "string",
"value": "={{ $json.StageName }}"
},
{
"id": "f455d38b-d48a-483c-b0d9-def9514741ef",
"name": "companyAccountId",
"type": "string",
"value": "={{ $json.AccountId }}"
},
{
"id": "1eb560db-3dd8-46cb-993d-0e370e25222f",
"name": "usingn8n",
"type": "string",
"value": "={{ $json.n8n_experience__c }}"
},
{
"id": "e1d251e3-40e5-4b63-bbc3-c45e503bb108",
"name": "ForecastCategory",
"type": "string",
"value": "={{ $json.ForecastCategory }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0b2b5078-96b5-423c-82d1-278f013ecdff",
"name": "Extract SF Opp Data1",
"type": "n8n-nodes-base.set",
"position": [
1880,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "261c0f53-82d1-4deb-ae52-09ea342d0f88",
"name": "Employees",
"type": "string",
"value": "={{ $json.Employees_Bucket__c }}"
},
{
"id": "ca1c9890-4a7d-43c6-b7ad-bf1d522574a7",
"name": "Name",
"type": "string",
"value": "={{ $json.Name }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "fec915a1-10ea-4be6-a15f-cea0ae837633",
"name": "Get Opp Data",
"type": "n8n-nodes-base.salesforce",
"position": [
1460,
80
],
"parameters": {
"resource": "opportunity",
"operation": "get",
"opportunityId": "={{ $('Execute Workflow Trigger').item.json[\"calldata[0].calls\"].sfOpp }}"
},
"credentials": {
"salesforceOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "793127ea-d1c7-4f29-a536-c87ece9d6601",
"name": "Get account data",
"type": "n8n-nodes-base.salesforce",
"position": [
1700,
260
],
"parameters": {
"resource": "account",
"accountId": "={{ $json.AccountId }}",
"operation": "get"
},
"credentials": {
"salesforceOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "249ef11d-47b3-415c-aac0-13437c1fd5c8",
"name": "Extract Call Data",
"type": "n8n-nodes-base.splitOut",
"position": [
260,
40
],
"parameters": {
"options": {},
"fieldToSplitOut": "body.calls"
},
"typeVersion": 1
},
{
"id": "a572d7e8-6613-4f46-8abf-9a254f22cfc1",
"name": "Merge call and transcript Data",
"type": "n8n-nodes-base.merge",
"position": [
540,
-120
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3
},
{
"id": "1bcbafc1-5ef5-43a4-af2a-9689888fc086",
"name": "Aggregate Gong Call Transcript",
"type": "n8n-nodes-base.aggregate",
"position": [
1720,
-120
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "gongData"
},
"typeVersion": 1
},
{
"id": "df307a52-512d-4397-8d22-a8a51a06fe21",
"name": "Get External Attendees Emails",
"type": "n8n-nodes-base.set",
"position": [
1280,
80
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0a813814-2e7d-40e0-961f-ba59baf5ece5",
"name": "externalAttendees",
"type": "array",
"value": "={{ $jmespath($json.parties, '[?affiliation==`External` || affiliation==`Unknown`].emailAddress') }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a4c7450e-5ad6-4e2f-ab72-0f56ae1390c1",
"name": "Combine Salesforce Opp Data",
"type": "n8n-nodes-base.merge",
"position": [
2060,
100
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3
},
{
"id": "8c201ee7-16f7-4c05-8f6c-d3543c4445e0",
"name": "Aggregate Salesforce data",
"type": "n8n-nodes-base.aggregate",
"position": [
2260,
100
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "sfOpp"
},
"typeVersion": 1
},
{
"id": "735173b9-cec1-43b3-94c5-13dc368473dd",
"name": "Merge Enriched Transcript Data",
"type": "n8n-nodes-base.merge",
"position": [
2520,
-100
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3
}
],
"connections": {
"Get Opp Data": {
"main": [
[
{
"node": "Extract SF Opp Data",
"type": "main",
"index": 0
},
{
"node": "Get account data",
"type": "main",
"index": 0
}
]
]
},
"Get transcript": {
"main": [
[
{
"node": "Join Transcript to String",
"type": "main",
"index": 0
}
]
]
},
"Get account data": {
"main": [
[
{
"node": "Extract SF Opp Data1",
"type": "main",
"index": 0
}
]
]
},
"Join Affiliation": {
"main": [
[
{
"node": "Join conversation",
"type": "main",
"index": 0
}
]
]
},
"Extract Call Data": {
"main": [
[
{
"node": "Merge call and transcript Data",
"type": "main",
"index": 1
}
]
]
},
"Join conversation": {
"main": [
[
{
"node": "Get External Attendees Emails",
"type": "main",
"index": 0
},
{
"node": "Aggregate Gong Call Transcript",
"type": "main",
"index": 0
}
]
]
},
"Extract SF Opp Data": {
"main": [
[
{
"node": "Combine Salesforce Opp Data",
"type": "main",
"index": 0
}
]
]
},
"Extract SF Opp Data1": {
"main": [
[
{
"node": "Combine Salesforce Opp Data",
"type": "main",
"index": 1
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Get transcript",
"type": "main",
"index": 0
},
{
"node": "Retrieve detailed call data",
"type": "main",
"index": 0
}
]
]
},
"Aggregate Salesforce data": {
"main": [
[
{
"node": "Merge Enriched Transcript Data",
"type": "main",
"index": 1
}
]
]
},
"Join Transcript to String": {
"main": [
[
{
"node": "Merge call and transcript Data",
"type": "main",
"index": 0
}
]
]
},
"Combine Salesforce Opp Data": {
"main": [
[
{
"node": "Aggregate Salesforce data",
"type": "main",
"index": 0
}
]
]
},
"Retrieve detailed call data": {
"main": [
[
{
"node": "Extract Call Data",
"type": "main",
"index": 0
}
]
]
},
"Get External Attendees Emails": {
"main": [
[
{
"node": "Get Opp Data",
"type": "main",
"index": 0
}
]
]
},
"Aggregate Gong Call Transcript": {
"main": [
[
{
"node": "Merge Enriched Transcript Data",
"type": "main",
"index": 0
}
]
]
},
"Merge Enriched Transcript Data": {
"main": [
[
{
"node": "Isolate Notion Data",
"type": "main",
"index": 0
}
]
]
},
"Merge call and transcript Data": {
"main": [
[
{
"node": "Join Affiliation",
"type": "main",
"index": 0
}
]
]
}
}
}
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.
httpHeaderAuthsalesforceOAuth2Api
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About this workflow
Template 3033. Uses executeWorkflowTrigger, httpRequest, salesforce. Event-driven trigger; 23 nodes.
Source: https://gist.github.com/shraey96/a5e577e990b77aae60e4657528adf7f1 — original creator credit. Request a take-down →
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