# Codice ATECO 2025 Lookup | Italian Companies | Free Preview (`w4rd0g/codice-ateco-lookup`) Actor Look up Italian ATECO 2025 codes from a free-text business description. Bundled official ISTAT 2025 dataset (3.257 codes). Perfect for CRM onboarding, due diligence, and company data enrichment. FREE during launch preview; $5/1k results pricing rolling out once monetization is enabled. - **URL**: https://apify.com/w4rd0g/codice-ateco-lookup.md - **Developed by:** [Polara Data](https://apify.com/w4rd0g) (community) - **Categories:** Developer tools, Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 ateco match results 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 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## Codice ATECO 2025 Lookup Look up Italian ATECO 2025 codes from a free-text business description. Returns the top N matches ranked by fuzzy semantic match against the official ISTAT ATECO 2025 classification (3.257 codes, in force from January 2025). ### What it does - Takes a list of free-text descriptions (Italian or English) of a business activity - Returns the top matching ATECO 2025 codes with title, hierarchy level, and confidence score - Supports filtering by minimum hierarchy level (sections, divisions, groups, classes, subcategories, full categories) - Bundled offline dataset — fast, deterministic, no API calls ### Use cases **CRM & onboarding tools** — Auto-classify Italian customer companies during signup with a free-text "what do you do?" field. **Tax & legal due diligence** — Cross-check declared ATECO codes against actual described activities for compliance reviews. **Company data enrichment** — Add structured ATECO codes to scraped Italian company datasets. **Migration ATECO 2007/2022 → 2025** — Re-classify legacy datasets after the April 2025 transition. ### Input ```json { "queries": [ "sviluppo software gestionale", "ristorante con cucina italiana", "consulenza fiscale per aziende" ], "lang": "it", "limit": 5, "minLevel": 4, "minConfidence": 50 } ```` | Field | Type | Default | Description | |---|---|---|---| | `queries` | array of strings | — (required) | Activity descriptions to look up | | `lang` | `it` / `en` / `both` | `it` | Search language | | `limit` | int (1-20) | 5 | Max matches per query | | `minLevel` | int (1-6) | 4 | Min hierarchy depth (4 = class, 6 = full code) | | `minConfidence` | int (0-100) | 50 | Discard matches below this confidence | ### Output One dataset item per match. Items grouped by query (use `query` field to group client-side). ```json { "query": "sviluppo software gestionale", "rank": 1, "matchesFound": 3, "code": "62.01.00", "titleIt": "Produzione di software non connesso all'edizione", "titleEn": "Computer programming activities", "level": 6, "parentCode": "62.01", "confidence": 87 } ``` When zero matches exceed the confidence threshold, a `"match": null` placeholder item is returned so callers always see feedback per query. ### Pricing **Currently FREE** during the launch preview — no per-result charges, no monthly cap. Use it freely while we onboard the Apify monetization review. When paid pricing rolls out (notice will be posted at least 14 days in advance): | Event | Price | |---|---| | Actor start | $0.01 (one-time per run) | | Result item | $0.005 (per pushed match) | **Free tier (post-launch)**: first 100 results/month and 50 starts/month included — enough to evaluate the actor in your CRM workflow at zero cost. **Future cost examples**: - 100 lookups (typical onboarding test): ~$0.51 - 1.000 lookups (mid-volume CRM batch): ~$5.01 - 10.000 lookups (large batch enrichment): ~$50.01 You'll always be able to lock in the free tier limits before paid pricing kicks in. ### Limits - Dataset: ATECO 2025 ufficiale ISTAT (3.257 codes), bundled at build time - Max queries per run: no hard limit (memory-bound) - Per-query result cap: 20 - No external network calls (deterministic, offline) ### Source Built on the official ISTAT ATECO 2025 structure published December 2024, in force from January 1, 2025 and operatively adopted from April 1, 2025. Source: [ISTAT — ATECO 2025](https://www.istat.it/classificazione/ateco-2025/) ### Author **Polara Data** — niche scrapers for Italy, EU & global markets. # Actor input Schema ## `queries` (type: `array`): List of free-text activity descriptions to look up. One result per query (each returns top N matches). ## `lang` (type: `string`): Language of your queries. Affects which titles are matched against (Italian or English). ## `limit` (type: `integer`): Top N matches returned per query. ## `minLevel` (type: `integer`): 1 = section letter, 2 = division (2-digit), 3 = group, 4 = class, 5 = subcategory, 6 = full category. Use 4-6 for tax/legal applications. ## `minConfidence` (type: `integer`): Discard matches below this confidence score. Default 50. ## Actor input object example ```json { "queries": [ "sviluppo software gestionale", "ristorante con cucina italiana", "consulenza fiscale per aziende" ], "lang": "it", "limit": 5, "minLevel": 4, "minConfidence": 50 } ``` # 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 = { "queries": [ "sviluppo software gestionale", "ristorante con cucina italiana", "consulenza fiscale per aziende" ] }; // Run the Actor and wait for it to finish const run = await client.actor("w4rd0g/codice-ateco-lookup").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 = { "queries": [ "sviluppo software gestionale", "ristorante con cucina italiana", "consulenza fiscale per aziende", ] } # Run the Actor and wait for it to finish run = client.actor("w4rd0g/codice-ateco-lookup").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 '{ "queries": [ "sviluppo software gestionale", "ristorante con cucina italiana", "consulenza fiscale per aziende" ] }' | apify call w4rd0g/codice-ateco-lookup --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=w4rd0g/codice-ateco-lookup", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Codice ATECO 2025 Lookup | Italian Companies | Free Preview", "description": "Look up Italian ATECO 2025 codes from a free-text business description. Bundled official ISTAT 2025 dataset (3.257 codes). Perfect for CRM onboarding, due diligence, and company data enrichment. FREE during launch preview; $5/1k results pricing rolling out once monetization is enabled.", "version": "0.1", "x-build-id": "YHJfINph0u8Z19A8A" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/w4rd0g~codice-ateco-lookup/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-w4rd0g-codice-ateco-lookup", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/w4rd0g~codice-ateco-lookup/runs": { "post": { "operationId": "runs-sync-w4rd0g-codice-ateco-lookup", "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/w4rd0g~codice-ateco-lookup/run-sync": { "post": { "operationId": "run-sync-w4rd0g-codice-ateco-lookup", "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": [ "queries" ], "properties": { "queries": { "title": "Activity descriptions", "type": "array", "description": "List of free-text activity descriptions to look up. One result per query (each returns top N matches).", "items": { "type": "string" } }, "lang": { "title": "Search language", "enum": [ "it", "en", "both" ], "type": "string", "description": "Language of your queries. Affects which titles are matched against (Italian or English).", "default": "it" }, "limit": { "title": "Max matches per query", "minimum": 1, "maximum": 20, "type": "integer", "description": "Top N matches returned per query.", "default": 5 }, "minLevel": { "title": "Minimum hierarchy level", "minimum": 1, "maximum": 6, "type": "integer", "description": "1 = section letter, 2 = division (2-digit), 3 = group, 4 = class, 5 = subcategory, 6 = full category. Use 4-6 for tax/legal applications.", "default": 4 }, "minConfidence": { "title": "Minimum confidence (0-100)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Discard matches below this confidence score. Default 50.", "default": 50 } } }, "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 } } } } } } } } } } ```