CSV to PostgreSQL Importer – Map, Validate & Send in Minutes

3 min read
Drop-in widget to import CSV/TSV and deliver clean, validated data to PostgreSQL. Column mapping, in-widget validation, and webhooks out-of-the-box.

Send CSV to PostgreSQL—10× Faster

Let users upload spreadsheets, map columns, fix errors inline, and ship clean data to your destination automatically — faster and with fewer surprises. In 2026 this flow remains the fastest way to add self-serve data imports to a SaaS product or internal tool.

Who this is for

  • Product teams adding self-serve CSV imports for customers
  • Engineers handling onboarding or data migrations
  • Internal tooling owners syncing catalogs, contacts, or transactions

Why use this integration?

  • Cut build time from months to days
  • Prevent bad or malformed data before it hits your database
  • Fits any stack via webhooks and simple APIs (no heavy client SDK required)

Top use cases

  • Bulk import CSV to PostgreSQL
  • Customer onboarding and data migrations
  • Catalog, contact, transaction, or settings syncs
  • Internal admin tools for data corrections and dry runs

How the import flow works

  1. User uploads a file (CSV/TSV or supported spreadsheet).
  2. Map spreadsheet columns to your predefined schema.
  3. Validate rows in-widget and surface inline errors.
  4. Send the cleaned, mapped batches to your webhook or destination.
  5. Apply final writes to PostgreSQL (insert / upsert with keys) and track progress.

Integration steps

  1. Define your schema and field validations (required, types, formats).
  2. Embed the CSVBox widget in your admin or onboarding UI.
  3. Configure destination details and upsert keys (for example: sku, email).
  4. Let users map columns, review previews, and fix errors before submit.
  5. Handle webhook events or pull ready batches and write to PostgreSQL.

Feature checklist

  • Accepts CSV/XLSX
  • Guided column mapping
  • In-widget validation & error fixing
  • Preview & dry‑run mode
  • Import progress tracking
  • Webhooks & event hooks
  • Custom attributes (e.g., user_id, tenant_id)
  • Client + server‑side validation options
  • Retry & idempotency keys
  • SOC 2–oriented practices & GDPR features

Developer notes

  • Keep validations in both the widget and on your server to enforce business rules.
  • Use idempotency keys or upsert logic to avoid duplicate writes during retries.
  • Send contextual metadata (user_id, tenant_id, import_id) with each batch to tie rows back to your app.

Sample code (Node.js webhook handler)

// Minimal webhook handler for CSV to PostgreSQL
app.post("/csvbox/webhook", async (req, res) => {
  const event = req.body;
  // Typical event types: import.started, import.progress, import.completed, import.failed
  if (event.type === "import.completed") {
    const rows = event.payload.rows; // Batch of cleaned, mapped rows
    // TODO: write rows to PostgreSQL using your preferred DB library/ORM
    // Example: INSERT ... ON CONFLICT (upsert_key) DO UPDATE ...
  }
  res.sendStatus(200);
});

FAQs

Q: How does CSV to PostgreSQL handle column mismatches?
A: You define the target schema. The widget prompts users to map their file columns to your fields; unmapped or invalid fields are flagged with inline errors before any data is sent.

Q: Can I upsert into PostgreSQL using a unique key?
A: Yes. Configure one or more keys (for example: sku, email). Rows with matching keys can be updated while others are inserted.

Q: What file sizes are supported?
A: Typical imports handle tens of thousands to low hundreds of thousands of rows depending on validation complexity and destination throughput. Contact support for very large imports or batch tuning.

Q: Do you support server-side validation?
A: Yes. You can configure server-side validation endpoints to approve or transform rows before the final write to your database.

Q: Is data encrypted and compliant?
A: Data is encrypted in transit and at rest. CSVBox supports GDPR-related features and follows SOC 2–oriented practices.

Get started

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