Webhook Payload Mapper

Transform supplied JSON payloads using explicit JSON-pointer mappings. Preview nested destination objects, flag missing sources and reject conflicting targets. No expressions, outgoing webhooks or code execution.

What this helps with

Developers connecting incompatible tools can reuse an exact saved mapping without running arbitrary transformation code.

Input example

Fictional sample only. Supply authorized nonsensitive or redacted data. Your input and output are stored in Apify under its storage and access rules.

{
  "jsonText": "[{\"customer\":{\"email\":\"fictional@example.com\"},\"order\":{\"id\":\"demo-100\"}},{\"customer\":{},\"order\":{\"id\":\"demo-101\"}}]",
  "mappings": [
    {
      "source": "/customer/email",
      "target": "/contact/email"
    },
    {
      "source": "/order/id",
      "target": "/external_id"
    }
  ]
}

Output example

The default dataset contains an array with one report object:

{
  "schemaVersion": "1.0",
  "tool": "webhook-payload-mapper",
  "inputSha256": "113a8bb1aee7891ac6f14d6fdf4258de9ecd28f332f3955f8a521e15902bf137",
  "summary": {
    "payloads": 2,
    "mappedPayloads": 1,
    "reviewPayloads": 1
  },
  "results": [
    {
      "index": 0,
      "status": "mapped",
      "issues": [],
      "mapped": {
        "contact": {
          "email": "fictional@example.com"
        },
        "external_id": "demo-100"
      }
    },
    {
      "index": 1,
      "status": "needs_review",
      "issues": [
        {
          "reason": "missing_source",
          "sourcePointer": "/customer/email"
        }
      ],
      "mapped": null
    }
  ],
  "boundaries": "Mapping preview only. Source JSON pointers support object keys and existing array indices. Target pointers create object keys, never arrays. No arbitrary expressions, type coercion, outbound requests, destination acceptance or signature verification. JSON numbers use Python float semantics for fractional/exponent values; represent exact financial/identifier values as strings."
}

Scope and limits

Mapping preview only. Source JSON pointers support object keys and existing array indices. Target pointers create object keys, never arrays. No arbitrary expressions, type coercion, outbound requests, destination acceptance or signature verification. JSON numbers use Python float semantics for fractional/exponent values; represent exact financial/identifier values as strings.

Strict JSON array of1to1000 payloads; at most1MB. Exact decimal/identifier values should be strings.

1to50 objects: source JSON pointer,target JSON pointer,onMissing(error or omit). Targets create object keys, not arrays. Overlapping target pointers are rejected.

Pricing and delivery

Initial trial price USD0.25 per completed report, including any record-level review findings; no charge per source row. The current Store pricing is authoritative. Configure a maximum spending budget before running. One paid event named report; no paid startup/default-dataset events and no usage passthrough. Invalid batch input fails before our custom charge.

Storage and billing are not transactional. Delivery/billing errors are marked uncertain where possible; the same run is never automatically fulfilled again. Inspect output and charge status before manually starting a new purchase. A successful diagnostic report may flag invalid records and does not guarantee destination acceptance.

Agent use

Inspect the input schema, scope and current price, run with a bounded budget, wait for successful completion, then read the one report from the default dataset. Act on review findings before using mapped or converted data downstream. This tool does not call external APIs or execute supplied code.

Built by SuperFresh Labs. No customer results or earnings claimed. Demand and contribution remain unvalidated.