CRM Deduplication Tool
Pricing
from $1.00 / 1,000 processed contacts
CRM Deduplication Tool
Detects and merges duplicate contacts in CRM databases using advanced fuzzy matching algorithms
Pricing
from $1.00 / 1,000 processed contacts
Rating
0.0
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Developer
Enos Melo
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2
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1
Monthly active users
5 days ago
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Detects and merges duplicate contacts in CRM databases using advanced fuzzy matching algorithms.
What does CRM Deduplication Tool do?
CRM Deduplication Tool is a powerful serverless actor that identifies and merges duplicate contacts in any CRM database. Simply provide a list of contacts (from HubSpot, Salesforce, Pipedrive, or any other CRM), and the Actor uses advanced fuzzy matching algorithms to detect duplicates across email, name, phone, and company fields. It returns a complete report with confidence scores for each match and a clean, deduplicated list ready for re-import.
Built for RevOps teams, sales managers, and marketing operations professionals who need to clean their CRM databases quickly without expensive monthly subscriptions.
Why use CRM Deduplication Tool?
- Universal CRM compatibility - Works with any CRM that exports to JSON or CSV
- Advanced fuzzy matching - Detects duplicates even with typos, formatting differences, and variations
- Confidence scoring - Every match includes a confidence score so you can review before merging
- Visual HTML report - Get a beautiful HTML report showing all duplicates found
- Pay-per-use pricing - No monthly subscription; pay only for what you use
- 100% data privacy - Your data never leaves your control; zero external requests
How does it work?
The deduplication process works in 5 phases:
- Normalization - Each field is normalized (emails lowercased, phone numbers stripped of formatting, diacritics removed from names)
- Exact Email Matching - Contacts with identical emails are immediately flagged as definite duplicates
- Fuzzy Name Matching - Names are compared using Jaro-Winkler similarity and token-based matching
- Phone Matching - Phone numbers are normalized and compared
- Company Matching - Company names are normalized and checked for fuzzy matches
The results are then clustered using Union-Find algorithm to group related duplicates together.
Supported matching fields
| Field | Matching Method | Confidence |
|---|---|---|
| Exact match (after normalization) + typo detection | 85-100 | |
| Name | Jaro-Winkler + token sort + initials | 65-100 |
| Phone | Normalized exact match + 1-digit typo | 60-90 |
| Company | Jaro-Winkler + substring | 75-90 |
Input
Provide contacts either as an array or reference an Apify dataset:
{"contacts": [{ "email": "john@example.com", "name": "John Smith", "phone": "+1 555 123-4567", "company": "Acme Corp" },{ "email": "JOHN@EXAMPLE.COM", "name": "John Smith", "phone": "15551234567", "company": "Acme Corporation" }],"confidenceThreshold": 70,"matchingFields": ["email", "name", "phone", "company"],"outputMode": "full","mergeStrategy": "most-complete"}
Input fields
| Field | Type | Required | Description |
|---|---|---|---|
| contacts | array | Yes* | Array of contact objects |
| datasetId | string | Yes* | Apify dataset ID to fetch contacts from |
| fieldMapping | object | No | Map your fields to email/name/phone/company |
| matchingFields | array | No | Fields to use for matching (default: all 4) |
| confidenceThreshold | number | No | Min score (50-100) to consider duplicate (default: 70) |
| outputMode | string | No | "full", "duplicates-only", or "clean-list" |
| mergeStrategy | string | No | "most-complete", "first", or "last" |
*Either contacts or datasetId is required.
Output
The Actor outputs a JSON dataset with:
{"deduplicationId": "uuid","processedAt": "2024-01-15T10:30:00Z","inputSummary": {"totalContactsReceived": 1500,"fieldsUsedForMatching": ["email", "name", "phone", "company"],"confidenceThreshold": 70},"summary": {"duplicateGroupsFound": 47,"totalDuplicateContacts": 112,"uniqueContactsAfterDedup": 1388,"duplicateRate": 7.47,"estimatedTimeSavedMinutes": 56},"duplicateGroups": [...],"cleanList": [...],"processingStats": {...}}
Confidence levels
- definite (score ≥ 90): Almost certainly the same person
- likely (score 70-89): Probably the same person
- possible (score 50-69): Could be the same person, requires manual review
Use cases
- HubSpot contact cleanup - Remove duplicates accumulated from form submissions
- Salesforce dedup before migration - Clean data before migrating from legacy systems
- Pipedrive list deduplication - Merge contacts from multiple pipelines
- Marketing event attendee merge - Combine attendee lists from multiple events
- Lead list validation - Verify new leads against existing database before insertion
- CRM audit preparation - Generate duplicate reports for quarterly reviews
Performance
| Contacts | Estimated Time |
|---|---|
| 100 | < 1 second |
| 1,000 | < 5 seconds |
| 10,000 | < 60 seconds |
| 50,000 | < 10 minutes |
Limitations
- Maximum 50,000 contacts per run
- Requires at least 2 contacts with email or name
- Currently does not directly merge in CRM (exports clean list only)
Roadmap
v1.1 (Planned)
- CSV input support (paste CSV as string)
- Better field auto-detection
- Notes field explaining why duplicates were matched
v2.0 (Planned)
- Direct HubSpot integration (merge in CRM)
- Direct Salesforce integration
- Direct Pipedrive integration
- Incremental mode (check new contacts against existing database)
- CSV export for CRM re-import
Pricing
This Actor uses pay-per-use pricing. You only pay for the compute time used:
- Approximately $0.001 per 100 contacts processed
- No monthly subscription required
Compare to Dedupely ($49-299/month), Insycle ($99/month), or Duplicate Check for Salesforce ($50/month).
Getting started
- Click Run in Apify Console
- Paste your contacts as JSON or provide a dataset ID
- Adjust confidence threshold if needed
- Click Start
The Actor will process your contacts and generate both a JSON dataset report and an HTML visual report.