# CNPJ Validator & Formatter — Bulk Check (Free) (`gangary/cnpj-validator`) Actor Validate and format Brazilian CNPJs in bulk, for free: official check-digit verification, 00.000.000/0000-00 formatting, headquarters vs branch detection, duplicate flagging and a per-row reason for every invalid entry. Validar CNPJ em lote, gratis. - **URL**: https://apify.com/gangary/cnpj-validator.md - **Developed by:** [Gangary](https://apify.com/gangary) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use 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 ## CNPJ Validator & Formatter — Bulk Check (Free) Paste a list of CNPJs (Brazilian company tax IDs) — get back every one **validated with the official check-digit algorithm**, formatted, classified as headquarters or branch, with duplicates flagged and a clear reason for every invalid entry. **Completely free, no charges, no login, no API key.** ![Cover](https://empresas-por-cnae.vercel.app/covers/cnpj-validator.png) Em português: *validar CNPJ em lote, verificar dígito verificador, formatar CNPJ, limpar planilha de CNPJs — grátis*. Perfect for cleaning a spreadsheet **before** paying for registry lookups: run your list here first, then send only the valid, deduplicated CNPJs to [CNPJ Lookup](https://apify.com/gangary/cnpj-lookup). ### Input example ```json { "cnpjs": ["00.000.000/0001-91", "11222333000181", "11111111111111", "123"] } ```` Formatted or digits-only, both work. Garbage rows (wrong type, empty, too short) never crash the run — they come back classified. ### Output example One row per input item, in the same order (spreadsheet in, spreadsheet out): ```json { "input": "00.000.000/0001-91", "cnpj": "00000000000191", "cnpj_formatado": "00.000.000/0001-91", "valid": true, "reason": "ok", "matriz": true, "raiz": "00000000", "is_duplicate": false } ``` ### Output fields | Field | Description | |---|---| | `valid` | Passed the official check-digit verification (módulo 11). | | `reason` | Why it failed: `not_14_digits`, `repeated_digits` or `bad_check_digit` — or `ok`. | | `cnpj` / `cnpj_formatado` | Clean 14 digits and the `00.000.000/0000-00` display form. | | `matriz` | `true` = headquarters (order `0001`), `false` = branch (filial). | | `raiz` | First 8 digits — shared by all branches of the same company. | | `is_duplicate` | Another row in your list normalized to the same CNPJ (different formatting, same company). | A run summary (`total`, `valid`, `invalid`, `duplicates`) is saved as the run's OUTPUT. ### Use cases - **Clean a CRM export or purchased list** before enrichment — drop typos and duplicates for free - **Validate user-supplied CNPJs** in onboarding/checkout flows via API - **Split matriz vs filial** in a supplier or customer base using `matriz` and `raiz` - **Pre-flight for paid lookups** — validate here (free), then fetch full registry data only for the valid ones ### Pricing **Free.** No pay-per-event charges — you only cover Apify's standard compute usage, which for this Actor is negligible (it's pure computation, no network calls). ### Is this compliant? Yes — the Actor performs a mathematical validation (the public check-digit algorithm defined by Receita Federal). It sends no network requests and collects no data. ### Need more than validation? - **[Brazilian Companies Finder (CNPJ Discovery)](https://apify.com/gangary/cnpj-discovery)** — don't have a list yet? Search 27.8M active Brazilian companies by CNAE activity + state, straight from the official registry index. - **[CNPJ Lookup — Brazilian Company Registry Data](https://apify.com/gangary/cnpj-lookup)** — full official record per CNPJ: legal name, status, address, partners, capital, phone and email when on file. - **[Lead Enricher & ICP Scorer](https://apify.com/gangary/lead-enricher-icp)** — verify, dedupe and score any lead list 0–100 against your ideal customer profile. **Full pipeline:** validate here (free) → Discovery finds more → Lookup pulls the data → Enricher scores what's worth contacting. # Actor input Schema ## `cnpjs` (type: `array`): Lista de CNPJs pra validar — com ou sem pontuacao, em qualquer ordem. Linhas invalidas nao quebram o run: cada uma volta com o motivo (not\_14\_digits, repeated\_digits, bad\_check\_digit). ## Actor input object example ```json { "cnpjs": [ "00.000.000/0001-91", "11222333000181", "11111111111111" ] } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "cnpjs": [ "00.000.000/0001-91", "11222333000181", "11111111111111" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gangary/cnpj-validator").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "cnpjs": [ "00.000.000/0001-91", "11222333000181", "11111111111111", ] } # Run the Actor and wait for it to finish run = client.actor("gangary/cnpj-validator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "cnpjs": [ "00.000.000/0001-91", "11222333000181", "11111111111111" ] }' | apify call gangary/cnpj-validator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gangary/cnpj-validator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CNPJ Validator & Formatter — Bulk Check (Free)", "description": "Validate and format Brazilian CNPJs in bulk, for free: official check-digit verification, 00.000.000/0000-00 formatting, headquarters vs branch detection, duplicate flagging and a per-row reason for every invalid entry. Validar CNPJ em lote, gratis.", "version": "0.1", "x-build-id": "vggobtxCVLPiEIP1l" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gangary~cnpj-validator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gangary-cnpj-validator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gangary~cnpj-validator/runs": { "post": { "operationId": "runs-sync-gangary-cnpj-validator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gangary~cnpj-validator/run-sync": { "post": { "operationId": "run-sync-gangary-cnpj-validator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "cnpjs" ], "properties": { "cnpjs": { "title": "CNPJs", "type": "array", "description": "Lista de CNPJs pra validar — com ou sem pontuacao, em qualquer ordem. Linhas invalidas nao quebram o run: cada uma volta com o motivo (not_14_digits, repeated_digits, bad_check_digit).", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```