Pricing
Pay per event
Upload any lead CSV and get a CRM-ready dataset: email validation, name/company cleanup, job-title bucketing, and dedupe by email or domain+name.
Pricing
Pay per event
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Howard
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10 days ago
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You can access the GTM Leads Cleaner programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Only .csv accepted. Can be a URL or Apify key-value store key." }, "dedupeStrategy": { "title": "Deduplication Strategy", "enum": [ "email", "domain+name" ], "type": "string", "description": "email: normalized_email match. domain+name: normalized full_name + domain match.", "default": "email" }, "outputFormat": { "title": "Output Format", "enum": [ "dataset", "csv" ], "type": "string", "description": "dataset: push cleaned rows to dataset. csv: also emit cleaned_leads.csv in KV store.", "default": "dataset" }, "includeDuplicates": { "title": "Include Duplicate Rows", "type": "boolean", "description": "Keep duplicate rows in output (marked with is_duplicate=true). When false, only unique rows are exported.", "default": false }, "emailColumn": { "title": "Email Column", "type": "string", "description": "Header name to force email column (case-sensitive). Overrides auto-detection but is overridden by Field Mapping." }, "nameColumn": { "title": "Name Column", "type": "string", "description": "Header name to force full name column (case-sensitive). Overrides auto-detection but is overridden by Field Mapping." }, "companyColumn": { "title": "Company Column", "type": "string", "description": "Header name to force company column (case-sensitive). Overrides auto-detection but is overridden by Field Mapping." }, "jobTitleColumn": { "title": "Job Title Column", "type": "string", "description": "Header name to force job title column (case-sensitive). Overrides auto-detection but is overridden by Field Mapping." }, "fieldMap": { "title": "Field Mapping (API)", "type": "object", "description": "Programmatic column mapping for API/n8n users. Keys: email, full_name, company, job_title. Values: source column names. Takes highest precedence over all other column settings.", "default": {} }, "autoDetectPreference": { "title": "Auto-detect Tie-breaking", "enum": [ "first", "last", "fail" ], "type": "string", "description": "When multiple columns match a pattern: 'first' picks earliest header, 'last' picks latest, 'fail' aborts listing candidates.", "default": "first" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. 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