# JSONL Lint and Repair (`junipr/jsonl-lint-and-repair`) Actor

Lint JSONL files line by line, detect malformed records and schema issues, optionally repair safe common problems, and output cleaned JSONL plus detailed line-level diagnostics.

- **URL**: https://apify.com/junipr/jsonl-lint-and-repair.md
- **Developed by:** [junipr](https://apify.com/junipr) (community)
- **Categories:** SEO tools, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.90 / 1,000 record profileds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## JSONL Lint and Repair

### Store Positioning

**Store title:** JSONL Lint and Repair

**Short description:** Lint JSONL files line by line, detect malformed records and schema issues, optionally repair safe common problems, and output cleaned JSONL plus detailed line-level diagnostics.

**SEO title:** JSONL Lint and Repair — data QA, validation, and cleanup utility

**SEO description:** Lint JSONL files line by line, detect malformed records and schema issues, optionally repair safe common problems, and output cleaned JSONL plus detailed line-level diagnostics. Use it to validate rows, schemas, duplicates, field quality, and delivery-readiness before handing data to clients or automations.

**Categories:** SEO\_TOOLS, DEVELOPER\_TOOLS

**Keywords:** jsonl, lint, repair, schema, data/schema qa utility

### Pay-Per-Event Pricing

This actor uses pay-per-event pricing. Event prices include Apify platform usage; users are not expected to pay a separate platform-usage pass-through charge for the configured pricing model.

- Tier: U2 — Data/schema QA utility
- Primary event: `record-profiled` at $0.00390 base
- Default max charge: $5.00
- Store discounts: FREE/BRONZE base, SILVER discounted, GOLD deepest approved discount

Event set:

- `actor-start`: base $0.00500, GOLD $0.00400. Jsonl Lint And Repair: charged when actor start is completed. The price includes Apify platform usage; no separate usage pass-through is intended.
- `record-profiled`: base $0.00390, GOLD $0.00312. Jsonl Lint And Repair: charged when record profiled is completed. The price includes Apify platform usage; no separate usage pass-through is intended.
- `issue-detected`: base $0.00372, GOLD $0.00298. Jsonl Lint And Repair: charged when issue detected is completed. The price includes Apify platform usage; no separate usage pass-through is intended.
- `qa-report-generated`: base $0.05000, GOLD $0.04000. Jsonl Lint And Repair: charged when qa report generated is completed. The price includes Apify platform usage; no separate usage pass-through is intended.

### Public Task Concepts

- Audit JSONL Lint and Repair controls on a capped public sample
- Find high-priority JSONL Lint and Repair issues before release
- Validate JSONL Lint and Repair evidence from supplied pages
- Prioritize JSONL Lint and Repair fixes with severity and proof
- Export JSONL Lint and Repair QA rows for client review

Lints JSON Lines record by record, preserving line numbers and previews while detecting invalid JSON, blank lines, missing fields, type mismatches, duplicates, oversized rows, and safe repairs.

### Inputs

- `jsonlTextInputs`
- `jsonlUrls`
- `expectedSchema`
- `requiredFields`
- `idField`
- `repairMode`
- `allowedRepairs`
- `strictMode`
- `maxLines`
- `maxLineBytes`
- `includeRepairedOutput`
- `timeoutMs`
- `maxChargeUsd`

### Public source provenance

The starter input uses bounded public records from the GitHub user endpoints for `octocat`, `defunkt`, and `mojombo`. The checked-in projection keeps exact runs deterministic and avoids sending credentials or private data. Live URL inputs remain available when a current network check is required.

### Outputs

Dataset fields: `sourceId`, `lineNumber`, `issueCode`, `severity`, `originalLinePreview`, `parsed`, `schemaValid`, `fieldPath`, `expectedType`, `actualType`, `repairApplied`, `repairedLine`, `duplicateGroupId`, `recommendation`.

Reports: `jsonl-lint-report.md`, `repaired-output.jsonl`, `invalid-lines.csv`, `jsonl-schema-violations.json`, `jsonl-repair-log.json`.

Use small capped runs first; live network checks should stay bounded and avoid secrets in inputs.

Live and local execution use the same pay-per-event billing guard: the actor-start event is accepted before analysis, each paid row is charged before dataset output, reports are charged before key-value-store output, and `maxChargeUsd` stops gracefully without leaking unpaid artifacts.

# Actor input Schema

## `jsonlTextInputs` (type: `array`):

Supplied input records for JSONL Lint and Repair to process without additional discovery.

## `jsonlUrls` (type: `array`):

Public JSONL URLs to fetch or inspect for JSONL Lint and Repair.

## `expectedSchema` (type: `object`):

Expected schema used for comparison and validation.

## `requiredFields` (type: `array`):

Require required fields during validation and flag rows that do not meet the rule.

## `idField` (type: `string`):

ID Field controls JSONL Lint and Repair processing for the supplied inputs; keep values conservative for first runs.

## `repairMode` (type: `string`):

Repair Mode controlling how JSONL Lint and Repair processes the supplied inputs.

## `allowedRepairs` (type: `array`):

Allowed repairs for this run. Values outside this list are skipped or flagged.

## `strictMode` (type: `boolean`):

Strict Mode controlling how JSONL Lint and Repair processes the supplied inputs.

## `maxLines` (type: `number`):

Maximum lines to process in one run; keep defaults low for safe first runs.

## `maxLineBytes` (type: `number`):

Maximum line bytes to process in one run; keep defaults low for safe first runs.

## `includeRepairedOutput` (type: `boolean`):

Include repaired output in output rows or reports when available.

## `timeoutMs` (type: `number`):

Maximum time in milliseconds allowed for the JSONL Lint and Repair operation before it is treated as timed out.

## `maxChargeUsd` (type: `number`):

Maximum estimated PPE charge allowed for the run before the actor stops gracefully.

## Actor input object example

```json
{
  "jsonlTextInputs": [
    "{\"id\":583231,\"login\":\"octocat\",\"type\":\"User\"}\n{\"id\":2,\"login\":\"defunkt\",\"type\":\"User\"}\n{\"id\":1,\"login\":\"mojombo\",\"type\":\"User\"}"
  ],
  "jsonlUrls": [],
  "expectedSchema": {
    "type": "object",
    "required": [
      "id",
      "login",
      "type"
    ],
    "properties": {
      "id": {
        "type": "number",
        "title": "Id",
        "description": "Id input value."
      },
      "login": {
        "type": "string",
        "title": "Login",
        "description": "Login input value."
      },
      "type": {
        "type": "string",
        "title": "Type",
        "description": "Type input value."
      }
    }
  },
  "requiredFields": [
    "id",
    "login",
    "type"
  ],
  "idField": "id",
  "repairMode": "safe",
  "allowedRepairs": [
    "trailingComma",
    "arrayWrapped",
    "bom"
  ],
  "strictMode": true,
  "maxLines": 10,
  "maxLineBytes": 1000,
  "includeRepairedOutput": true,
  "timeoutMs": 5000,
  "maxChargeUsd": 1
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("junipr/jsonl-lint-and-repair").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("junipr/jsonl-lint-and-repair").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call junipr/jsonl-lint-and-repair --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,junipr/jsonl-lint-and-repair"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zMZ8k5CAJGTyBFqio/builds/sAj53snOSfBliAcRo/openapi.json