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Dumpling AI email verification with BillionVerify
Dumpling AI is an AI-powered platform offering data extraction and automation capabilities for developers and businesses. When Dumpling AI workflows collect or process email addresses from web sources or user inputs, routing those addresses through BillionVerify ensures only valid, deliverable contacts enter your systems.
Why verify before the send
AI data extraction pipelines often pull email addresses from unstructured or public sources where accuracy cannot be guaranteed. Invalid, role-based, or disposable addresses mixed into your dataset waste storage, skew analytics, and cause deliverability problems downstream. BillionVerify adds a verification layer that keeps extracted data trustworthy.
Ready-to-use n8n workflow
Import this workflow into n8n — it verifies every address with BillionVerify before Dumpling AI sends, so only deliverable contacts are emailed. Install the BillionVerify community node first, then add your API key. Adapted from this n8n template
verify-emails-in-dumpling-ai.json
{
"name": "Telegram bot: extract & store TikTok and LinkedIn data to Google Sheets with Dumpling AI + BillionVerify",
"nodes": [
{
"id": "bf2e23ff-22f1-4329-9911-d38e2724f4f8",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
400,
192
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "credential-id",
"name": "openAiApi Credential"
}
},
"typeVersion": 1.2
},
{
"id": "ba7f8f39-6f52-4b8d-bae0-e63071bd03ec",
"name": "tiktok_profile_scraper",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
528,
192
],
"parameters": {
"url": "https://app.dumplingai.com/api/v1/get-tiktok-profile",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "handle",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Value', ``, 'string') }}"
}
]
},
"genericAuthType": "httpHeaderAuth",
"toolDescription": "Scrapes a TikTok profile to retrieve public metrics and user details."
},
"credentials": {
"httpHeaderAuth": {
"id": "credential-id",
"name": "httpHeaderAuth Credential"
}
},
"typeVersion": 4.2
},
{
"id": "0063c43e-d4e8-43cc-a0aa-f3f3da119f74",
"name": "tiktok_database_saver",
"type": "n8n-nodes-base.googleSheetsTool",
"position": [
656,
192
],
"parameters": {
"columns": {
"value": {
"secUid": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('secUid', ``, 'string') }}",
"bioLink": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('bioLink', ``, 'string') }}",
"Username": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Username', ``, 'string') }}",
"verified": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('verified', ``, 'string') }}",
"heartCount": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('heartCount', ``, 'string') }}",
"videoCount": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('videoCount', ``, 'string') }}",
"friendCount": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('friendCount', ``, 'string') }}",
"followerCount": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('followerCount', ``, 'string') }}",
"followingCount": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('followingCount', ``, 'string') }}"
},
"schema": [
{
"id": "Username",
"type": "string",
"display": true,
"required": false,
"displayName": "Username",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "verified",
"type": "string",
"display": true,
"required": false,
"displayName": "verified",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "secUid",
"type": "string",
"display": true,
"required": false,
"displayName": "secUid",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "bioLink",
"type": "string",
"display": true,
"required": false,
"displayName": "bioLink",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "followerCount",
"type": "string",
"display": true,
"required": false,
"displayName": "followerCount",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "followingCount",
"type": "string",
"display": true,
"required": false,
"displayName": "followingCount",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "heartCount",
"type": "string",
"display": true,
"required": false,
"displayName": "heartCount",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "videoCount",
"type": "string",
"display": true,
"required": false,
"displayName": "videoCount",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "friendCount",
"type": "string",
"display": true,
"required": false,
"displayName": "friendCount",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QCyOUa2GzqfxS2SwJIX3MfgWqOt2776lylgVioemsNs/edit#gid=0",
"cachedResultName": "TikTok"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QCyOUa2GzqfxS2SwJIX3MfgWqOt2776lylgVioemsNs/edit?usp=drivesdk",
"cachedResultName": "Content Library"
},
"descriptionType": "manual",
"toolDescription": "Saves extracted TikTok data into the Google Sheet."
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "credential-id",
"name": "googleSheetsOAuth2Api Credential"
}
},
"typeVersion": 4.7
},
{
"id": "c8c2e6f8-4837-47eb-99ab-eca7d7520185",
"name": "linkedin_profile_scraper",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
784,
192
],
"parameters": {
"url": "https://app.dumplingai.com/api/v1/linkedin/profile",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "url",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Value', ``, 'string') }}"
}
]
},
"genericAuthType": "httpHeaderAuth",
"toolDescription": "Scrapes a LinkedIn profile to retrieve professional details."
},
"credentials": {
"httpHeaderAuth": {
"id": "credential-id",
"name": "httpHeaderAuth Credential"
}
},
"typeVersion": 4.2
},
{
"id": "d9bd7e1f-e9b8-405a-a8bf-8b08605a9e03",
"name": "linkedin_database_saver",
"type": "n8n-nodes-base.googleSheetsTool",
"position": [
912,
192
],
"parameters": {
"columns": {
"value": {
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('name', ``, 'string') }}",
"about": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('about', ``, 'string') }}",
"image": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('image', ``, 'string') }}",
"location": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('location', ``, 'string') }}",
"followers": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('followers', ``, 'string') }}",
"recentPosts link": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('recentPosts_link', ``, 'string') }}"
},
"schema": [
{
"id": "name",
"type": "string",
"display": true,
"required": false,
"displayName": "name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image",
"type": "string",
"display": true,
"required": false,
"displayName": "image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "location",
"type": "string",
"display": true,
"required": false,
"displayName": "location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "followers",
"type": "string",
"display": true,
"required": false,
"displayName": "followers",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "about",
"type": "string",
"display": true,
"required": false,
"displayName": "about",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "recentPosts link",
"type": "string",
"display": true,
"required": false,
"displayName": "recentPosts link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1956409676,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QCyOUa2GzqfxS2SwJIX3MfgWqOt2776lylgVioemsNs/edit#gid=1956409676",
"cachedResultName": "Linkedin"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QCyOUa2GzqfxS2SwJIX3MfgWqOt2776lylgVioemsNs/edit?usp=drivesdk",
"cachedResultName": "Content Library"
},
"descriptionType": "manual",
"toolDescription": "Saves extracted LinkedIn data into the Google Sheet."
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "credential-id",
"name": "googleSheetsOAuth2Api Credential"
}
},
"typeVersion": 4.7
},
{
"id": "3cc2bb52-55ba-4c86-bb00-083a321fa3f8",
"name": "Receive Telegram Message",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-720,
-32
],
"webhookId": "5e72112e-15da-4d37-919b-fbf6900a0d5b",
"parameters": {
"updates": [
"message"
],
"additionalFields": {
"download": true
}
},
"credentials": {
"telegramApi": {
"id": "credential-id",
"name": "telegramApi Credential"
}
},
"typeVersion": 1.2
},
{
"id": "3b8636d6-5473-4a31-8963-b9c25ae45131",
"name": "Check for Voice Message",
"type": "n8n-nodes-base.if",
"position": [
-496,
-32
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a32a6a89-05c5-468e-af62-10d6229e84d0",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.voice }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "8f3e957f-a0fd-4a84-9dbe-97523596f9cc",
"name": "Fetch Voice File from Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
-272,
-128
],
"webhookId": "8ad24c26-6620-4990-b6fb-853315f8112b",
"parameters": {
"fileId": "={{ $json.message.voice.file_id }}",
"resource": "file",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "credential-id",
"name": "telegramApi Credential"
}
},
"typeVersion": 1.2
},
{
"id": "4c5feeb1-84f3-4a9a-955a-bc91b2304fcf",
"name": "Transcribe Audio with Whisper",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-48,
-128
],
"parameters": {
"options": {},
"resource": "audio",
"operation": "transcribe"
},
"credentials": {
"openAiApi": {
"id": "credential-id",
"name": "openAiApi Credential"
}
},
"typeVersion": 1.8
},
{
"id": "7fd25573-e8e0-4202-a52f-690bbe283035",
"name": "Format Transcription",
"type": "n8n-nodes-base.set",
"position": [
176,
-128
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "00b6d8f5-3303-4cbc-8ed7-c3f96ff5fbe3",
"name": "Text",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0479485a-d08e-4318-9981-c84749f08aed",
"name": "Format Text Message",
"type": "n8n-nodes-base.set",
"position": [
176,
64
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9432a30e-67a3-4073-81a9-d5f96a1572bd",
"name": "Text",
"type": "string",
"value": "={{ $json.message.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c2061e4b-f957-4ae0-9062-db845f7ededc",
"name": "Social Media Extraction Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
576,
-32
],
"parameters": {
"text": "=User message: {{ $json.Text }}",
"options": {
"systemMessage": "You are the \"Social Data Miner,\" a specialized AI agent responsible for extracting profile data from social media platforms and archiving it into a database (Google Sheets).\n\n### YOUR TOOLKIT\nYou have two sets of tools. You must always use them in pairs: one to **GET** the data, and one to **SAVE** the data.\n\n**Set A: TikTok Operations**\n1. `tiktok_profile_scraper`: gets the data.\n2. `tiktok_database_saver`: saves the data.\n\n**Set B: LinkedIn Operations**\n1. `linkedin_profile_scraper`: gets the data.\n2. `linkedin_database_saver`: saves the data.\n\n### OPERATION PROTOCOLS\n\n**PROTOCOL 1: TikTok Extraction**\nIf the user provides a TikTok username or link:\n1. **Scrape:** Call `tiktok_profile_scraper` with the username.\n2. **Process:** Wait for the JSON result.\n3. **Save:** Immediately call `tiktok_database_saver` mapping the scraper's output to these exact fields:\n - `Username`\n - `verified`\n - `secUid`\n - `bioLink`\n - `followerCount`\n - `followingCount`\n - `heartCount`\n - `videoCount`\n - `friendCount`\n4. **Report:** Confirm to the user: \"TikTok profile for [Username] scraped and saved to database.\"\n\n**PROTOCOL 2: LinkedIn Extraction**\nIf the user provides a LinkedIn profile URL:\n1. **Scrape:** Call `linkedin_profile_scraper` with the URL.\n2. **Process:** Wait for the JSON result.\n3. **Save:** Immediately call `linkedin_database_saver` mapping the scraper's output to these exact fields:\n - `name`\n - `image` (Profile picture URL)\n - `location`\n - `followers`\n - `about` (Bio/Summary)\n - `recentPosts` (Link to recent activity)\n4. **Report:** Confirm to the user: \"LinkedIn profile for [Name] scraped and saved to database.\"\n\n### ERROR HANDLING\n- If a scraper returns \"Null\" or fails to find the profile, do **not** call the database saver. Instead, inform the user: \"I could not retrieve data for that profile. Please check the link/username.\"\n- Do not make up data. Only save what the scraper returns.\n\nBegin by identifying which platform the user wants to scrape."
},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "94f08ef8-13fa-4c43-8c60-0c6067980b42",
"name": "Send Completion Email",
"type": "n8n-nodes-base.gmail",
"position": [
1120,
-32
],
"webhookId": "d6f5bb11-6891-4500-b1c4-e67984d08ba0",
"parameters": {
"sendTo": "user@example.com",
"message": "Extraction complete. I have scraped the profile and successfully saved all data points to your spreadsheet",
"options": {
"appendAttribution": false
},
"subject": "Extraction complete",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"id": "credential-id",
"name": "gmailOAuth2 Credential"
}
},
"typeVersion": 2.1
},
{
"id": "baec690b-5e6d-460e-9cbe-4dfabeee33b8",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1408,
-464
],
"parameters": {
"width": 896,
"height": 928,
"content": "📊 Social Media Profile Scraper with Dumpling AI\n\nAutomatically extract public profile data from TikTok and LinkedIn via Telegram, powered by AI routing and Dumpling AI scraping.\n\nCAPABILITIES:\n✅ Scrape TikTok profiles (metrics, bio, verification)\n✅ Extract LinkedIn profiles (name, location, followers, bio)\n✅ Support text AND voice input via Telegram\n✅ Auto-save to organized Google Sheets\n✅ Email notifications on completion\n\nHOW TO USE:\n📱 Send to your Telegram bot:\n- \"Scrape @tiktokusername\"\n- \"Get LinkedIn data: [profile URL]\"\n- 🎤 Voice messages also work!\n\nThe AI automatically:\n1. Identifies which platform\n2. Calls the right scraper\n3. Saves data to correct sheet tab\n4. Emails you confirmation\n\nSETUP CHECKLIST:\n□ Create Telegram bot via @BotFather\n□ Add OpenAI API key (Whisper + GPT-4.1)\n□ Add Dumpling AI credentials\n□ Create Google Sheets with 2 tabs: TikTok & LinkedIn\n□ Update sheet ID in both database saver nodes\n□ Connect Gmail for notifications\n□ Update notification email address\n□ Remove personal identifiers (credential names, sheet IDs)\n\nGOOGLE SHEETS REQUIRED COLUMNS:\n\nTikTok Tab:\n- Username, verified, secUid, bioLink\n- followerCount, followingCount, heartCount\n- videoCount, friendCount\n\nLinkedIn Tab:\n- name, image, location, followers\n- about, recentPosts link\n\n"
},
"typeVersion": 1
},
{
"id": "c3b40d43-23b8-4e8e-98be-93a20d6758ea",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-464,
-512
],
"parameters": {
"color": 4,
"width": 800,
"height": 768,
"content": "📥 INPUT HANDLING\n\nReceives messages via Telegram and processes both formats:\n\nVoice Messages:\n1. Fetch Voice File from Telegram\n2. Transcribe Audio with Whisper (OpenAI)\n3. Format Transcription\n\nText Messages:\n1. Format Text Message directly\n\nBoth paths merge into the Social Media Extraction Agent for intelligent processing.\n\nSupports natural language like:\n- \"Get TikTok stats for @username\"\n- \"Extract this LinkedIn profile: [URL]\"\n- \"Scrape charlidamelio on TikTok\""
},
"typeVersion": 1
},
{
"id": "f9387d8a-49a2-4aa9-8ef1-97f538afa8c2",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
352,
-336
],
"parameters": {
"color": 3,
"width": 736,
"height": 656,
"content": "📱 TIKTOK EXTRACTION PIPELINE\n\n1. Scrape TikTok Profile (Dumpling AI)\n - Input: TikTok username/handle\n - API: Dumpling AI's TikTok scraper\n - Output: Complete profile JSON\n\n2. Save TikTok Data to Sheets\n - Maps 9 data points to columns\n - Appends to \"TikTok\" tab\n - Fields: Username, verified, secUid, bioLink, followerCount, followingCount, heartCount, videoCount, friendCount\n\nExample Input: \"@charlidamelio\" or \"charlidamelio\""
},
"typeVersion": 1
},
{
"parameters": {
"operation": "verify",
"email": "={{ $json.email || $json.Email }}",
"additionalOptions": {}
},
"type": "n8n-nodes-billionverify.billionVerify",
"typeVersion": 1,
"position": [
760,
-32
],
"name": "Verify Email (BillionVerify)",
"credentials": {
"billionVerifyApi": {
"id": "",
"name": "BillionVerify account"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "is-deliverable",
"leftValue": "={{ $json.is_deliverable }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
}
]
}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
940,
-32
],
"name": "IF deliverable"
}
],
"connections": {
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Social Media Extraction Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Format Text Message": {
"main": [
[
{
"node": "Social Media Extraction Agent",
"type": "main",
"index": 0
}
]
]
},
"Format Transcription": {
"main": [
[
{
"node": "Social Media Extraction Agent",
"type": "main",
"index": 0
}
]
]
},
"tiktok_database_saver": {
"ai_tool": [
[
{
"node": "Social Media Extraction Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"tiktok_profile_scraper": {
"ai_tool": [
[
{
"node": "Social Media Extraction Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Check for Voice Message": {
"main": [
[
{
"node": "Fetch Voice File from Telegram",
"type": "main",
"index": 0
}
],
[
{
"node": "Format Text Message",
"type": "main",
"index": 0
}
]
]
},
"linkedin_database_saver": {
"ai_tool": [
[
{
"node": "Social Media Extraction Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Receive Telegram Message": {
"main": [
[
{
"node": "Check for Voice Message",
"type": "main",
"index": 0
}
]
]
},
"linkedin_profile_scraper": {
"ai_tool": [
[
{
"node": "Social Media Extraction Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Social Media Extraction Agent": {
"main": [
[
{
"node": "Verify Email (BillionVerify)",
"type": "main",
"index": 0
}
]
]
},
"Transcribe Audio with Whisper": {
"main": [
[
{
"node": "Format Transcription",
"type": "main",
"index": 0
}
]
]
},
"Fetch Voice File from Telegram": {
"main": [
[
{
"node": "Transcribe Audio with Whisper",
"type": "main",
"index": 0
}
]
]
},
"Verify Email (BillionVerify)": {
"main": [
[
{
"node": "IF deliverable",
"type": "main",
"index": 0
}
]
]
},
"IF deliverable": {
"main": [
[
{
"node": "Send Completion Email",
"type": "main",
"index": 0
}
],
[]
]
}
},
"settings": {
"executionOrder": "v1"
}
}Workflow templates with Dumpling AI
Ready-to-use workflows that verify emails before Dumpling AI sends.
How it works
- 1
Obtain your BillionVerify API key and set it as a credential in n8n or your preferred automation environment.
- 2
Configure your Dumpling AI workflow to emit extracted email addresses to a downstream verification step.
- 3
Call the BillionVerify REST API (or use the n8n community node) with each email address.
- 4
Evaluate the response: keep addresses marked valid or risky-but-reachable; discard those flagged as invalid, disposable, or non-existent.
- 5
Store verified contacts in your CRM or database with a verification timestamp for future reference.
When to use this
Validate emails extracted from web scraping
When Dumpling AI extracts contact emails from websites or documents, pipe each address to BillionVerify before storing it. This eliminates malformed addresses, generic role inboxes, and domains that no longer accept mail.
Screen AI-generated lead lists before outreach
If Dumpling AI compiles prospect lists from public data, verify every email with BillionVerify before handing the list to your sales or marketing team. Clean data means higher connect rates and fewer bounces on outreach campaigns.
FAQ
Why can't I just use regex validation instead of BillionVerify?
Regex only checks email format. BillionVerify performs SMTP-level checks to confirm the mailbox actually exists, which regex cannot do — catching thousands of addresses that look valid but will bounce.
How does BillionVerify handle addresses from unusual or international domains?
BillionVerify checks MX records and performs SMTP verification across international domains, making it reliable for globally extracted contact data.
Can verification results be stored back into my Dumpling AI dataset?
Yes. Through n8n or a custom API call, you can append the verification status as a field in your dataset, letting downstream workflows filter on it without re-verifying.
Is there a rate limit on the BillionVerify API for high-volume extraction pipelines?
BillionVerify offers tiered plans suited to different volumes, from small batches to millions of verifications per month. Choose the plan that matches your Dumpling AI pipeline throughput.
Verify emails in Dumpling AI
Create a free account, grab your API key, and stop bounces before they happen.
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