CSV header mapping API demo

CSV header mapping API for import screens

Messy CSV headers like fname, E-mail, Mobile, Org, and Joined become reviewable schema mappings with confidence scores, warnings, reasons, and safe normalization hints.

Free tier available
Messy CSV Schema Mapper API logo
Messy CSV Schema Mapper API Turn messy CSV columns into review-ready schema mappings
fname first_name 96%
E-mail email 97%
Joined signup_date Review

Small CSV samples in. Reviewable mappings out.

Representative sample output: this browser demo uses deterministic fixtures, not the live API. Authenticated live requests happen through RapidAPI. Review every suggestion before importing data.

Interactive demo

Map messy CSV headers into a clean application schema

Step 1

Choose a scenario

Step 2

Inspect the CSV sample and target schema

Compare the messy CSV-style input with the clean application fields the importer needs.

Input

Source CSV sample

2 rows

Schema

Target fields

0 fields

Step 3 - Generate mapping suggestions

CRM contacts

Map imported contact columns into a CRM contact schema.

Step 4 - Review and adjust before import

Representative mapping suggestions

Ready
Select a scenario and run the fixture demo to see representative, reviewable mapping suggestions.

Next step after the demo

Make one authenticated request on RapidAPI

The fixture shows what to review. Subscribe to the free Basic plan on the live listing, open POST /v1/map-headers, and use RapidAPI's generated host and key for the real request.

Three-step first success

Go from sample output to one live request

Keep API credentials on your server. Send only headers, a small representative sample, and the schema your application expects.

  1. 01

    Inspect the representative CRM example

    Run the browser demo and review the proposed targets, confidence scores, reasons, transformations, and warnings.

  2. 02

    Subscribe to Basic on RapidAPI

    Open the stable listing, choose the free Basic plan, and select POST /v1/map-headers. The live plan page is the source of truth for current quotas.

  3. 03

    Send one authenticated request

    Copy RapidAPI's generated host and key into server-side environment variables, run one example below, and inspect the returned mappings before importing anything.

What to send

Minimal cURL request

Set RAPIDAPI_HOST and RAPIDAPI_KEY in your shell from the values RapidAPI generates for your subscription.

curl --request POST "https://${RAPIDAPI_HOST}/v1/map-headers" \
  --header "Content-Type: application/json" \
  --header "X-RapidAPI-Key: ${RAPIDAPI_KEY}" \
  --header "X-RapidAPI-Host: ${RAPIDAPI_HOST}" \
  --data '{
    "headers": ["fname", "e-mail"],
    "sample_rows": [["Ada", "ada@example.com"]],
    "target_schema": {
      "name": "contacts",
      "fields": [
        {"name": "first_name", "type": "first_name", "required": true, "aliases": ["fname"]},
        {"name": "email", "type": "email", "required": true, "aliases": ["e-mail"]}
      ]
    },
    "options": {
      "minimum_confidence": 0.75,
      "include_transformations": true,
      "cache": {"mode": "read_write", "scope": "request"}
    }
  }'

Supported language

Server-side JavaScript

This example uses the same OpenAPI request shape. Do not put either environment value into browser JavaScript.

const host = process.env.RAPIDAPI_HOST;
const response = await fetch(`https://${host}/v1/map-headers`, {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "X-RapidAPI-Key": process.env.RAPIDAPI_KEY,
    "X-RapidAPI-Host": host
  },
  body: JSON.stringify({
    headers: ["fname", "e-mail"],
    sample_rows: [["Ada", "ada@example.com"]],
    target_schema: {
      name: "contacts",
      fields: [
        { name: "first_name", type: "first_name", required: true, aliases: ["fname"] },
        { name: "email", type: "email", required: true, aliases: ["e-mail"] }
      ]
    },
    options: {
      minimum_confidence: 0.75,
      include_transformations: true,
      cache: { mode: "read_write", scope: "request" }
    }
  })
});

if (!response.ok) throw new Error(`Request failed: ${response.status}`);
console.log(await response.json());

What comes back

A reviewable mapping response

{
  "request_id": "req_example",
  "target_schema": "contacts",
  "mappings": [
    {
      "source_field": "fname",
      "source_index": 0,
      "target_field": "first_name",
      "target_type": "first_name",
      "confidence": 0.96,
      "decision": "mapped",
      "source": "deterministic",
      "reasons": ["Header matches a known alias for first_name."],
      "transformations": [{"type": "trim"}],
      "warnings": []
    }
  ],
  "missing_required_fields": [],
  "unmapped_source_fields": [],
  "ambiguous_mappings": [],
  "cache": {
    "exact_request": "miss",
    "customer_memory": "disabled",
    "shared_alias_candidates": "not_used",
    "cache_key_version": "map_headers_v1",
    "ai_assist": "not_used"
  }
}

Troubleshooting

Common first-request errors

400 - Check the request

Send Content-Type: application/json, include headers and target_schema, and keep every sample row the same width as the headers array.

401 - Check the route and subscription

Call the RapidAPI host after subscribing to Basic and use the generated key and host headers. Do not call the protected Worker origin or expose credentials in browser code.

Ready for the live request?

Open the listing, subscribe to Basic, and use RapidAPI's generated snippet for POST /v1/map-headers.

Start free on RapidAPI

How it fits

Use the CSV mapping API to pre-fill review screens

01

Step 1 - Send CSV headers and sample rows

Use a small representative sample from the import screen, not the full CSV file.

02

Step 2 - Show reviewable schema mappings

Display mapped fields, confidence, warnings, reasons, and transformation hints.

03

Step 3 - Normalize records after review

Your application remains responsible for parsing, validating, normalizing, and importing the full dataset.

Use cases

Built for import screens that already exist

CRM contact imports

Map names, emails, phone numbers, companies, and signup dates before the user reviews.

Newsletter subscriber uploads

Turn exported list headers into email, name, consent, source, and subscribed-at fields.

Ecommerce customer exports

Pre-fill customer, contact, country, spend, and last-order mappings from storefront data.

Event attendee lists

Review attendee, ticket, paid, checked-in, and dietary columns before importing.

Donor and member directories

Handle membership exports where familiar identity fields arrive under local naming conventions.

Internal staff contact lists

Give internal tools a cleaner review screen for staff directories and access rosters.

Free tier

Start free with the Basic plan on RapidAPI

A free Basic plan is available for evaluation. Use the live RapidAPI plan page as the source of truth for the current monthly request quota before relying on it in production.

Data handling

Designed around small samples and human review

Use the CSV header mapping API with representative headers and sample rows. It is not a full CSV ingestion pipeline, and automatic import without review is not recommended.

We do not store raw request bodies, raw sample rows, raw record values, API tokens, customer emails, account names, or private identifiers as durable records by default.

FAQ

Boundaries that keep the workflow honest

Does this import my full CSV file?

No. The API is designed for headers and small representative samples. Your application handles full parsing and importing.

Can I automatically import without review?

That is not recommended. The response is meant to pre-fill a review screen, not bypass it.

Does it store my customer data?

We do not store raw request bodies, raw sample rows, raw record values, API tokens, customer emails, account names, or private identifiers as durable records by default.

What is the best use case for a CSV header mapping API?

Pre-filling reviewable schema mappings inside CSV import flows for SaaS apps, internal tools, CRMs, ecommerce platforms, and consultant-built systems.