# Map Brand Signals to HubSpot or Salesforce Fields

**Use case:** 

Convert normalized signals and explicit mappings into unsent CRM field proposals with evidence, conflicts, and omissions.

## Input

```json
{
  "schemaVersion": "1.0",
  "target": "hubspot",
  "mapping": [
    {
      "sourceField": "brand_name",
      "targetField": "company_name",
      "transform": "trim"
    },
    {
      "sourceField": "signal_status",
      "targetField": "signal_status",
      "transform": "lowercase"
    },
    {
      "sourceField": "score",
      "targetField": "signal_score",
      "transform": "number_decimal_2"
    },
    {
      "sourceField": "observed_at",
      "targetField": "last_observed_at",
      "transform": "date_yyyy_mm_dd"
    }
  ],
  "rows": [
    {
      "signalId": "sig-001",
      "entityId": "brand-acme",
      "sourceEvidenceId": "ev-001",
      "sourceUrl": "https://evidence.example.com/acme/offer",
      "observedAt": "2026-08-05T10:00:00Z",
      "values": {
        "brand_name": " Acme ",
        "signal_status": "ACTIVE",
        "score": 82.5
      }
    },
    {
      "signalId": "sig-002",
      "entityId": "brand-acme",
      "sourceEvidenceId": "ev-002",
      "sourceUrl": "https://evidence.example.com/acme/news",
      "observedAt": "2026-08-05T11:00:00Z",
      "values": {
        "brand_name": "Acme",
        "signal_status": "ACTIVE",
        "score": 82.5
      }
    }
  ]
}
```

## Output

```json
{
  "schemaVersion": {
    "label": "Schema",
    "format": "text"
  },
  "reportType": {
    "label": "Report type",
    "format": "text"
  },
  "target": {
    "label": "Template target",
    "format": "text"
  },
  "attribution": {
    "label": "Input boundary",
    "format": "json"
  },
  "mapping": {
    "label": "Mapping template",
    "format": "json"
  },
  "unmappedTargetFields": {
    "label": "Unmapped template fields",
    "format": "json"
  },
  "totalRows": {
    "label": "Rows",
    "format": "number"
  },
  "totalEntities": {
    "label": "Entities",
    "format": "number"
  },
  "entities": {
    "label": "Proposals and evidence",
    "format": "json"
  },
  "counts": {
    "label": "Counts",
    "format": "json"
  },
  "decision": {
    "label": "Review decision",
    "format": "json"
  },
  "inputDigest": {
    "label": "Input SHA-256",
    "format": "text"
  },
  "mappingDigest": {
    "label": "Mapping SHA-256",
    "format": "text"
  },
  "entitiesDigest": {
    "label": "Entities SHA-256",
    "format": "text"
  },
  "countsDigest": {
    "label": "Counts SHA-256",
    "format": "text"
  },
  "resultDigest": {
    "label": "Result SHA-256",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [HubSpot and Salesforce Field Mapping Tool](https://apify.com/zinin/us-brand-signal-crm-field-mapper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zinin/us-brand-signal-crm-field-mapper) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/zinin/us-brand-signal-crm-field-mapper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
