# PagineGialle Business Directory Scraper (`nikse77/paginegialle-scraper`) Actor Extract Italian business directory listings from paginegialle.it by category and city: company name, phone, address and description. Fast HTTP-based extraction, no browser needed. - **URL**: https://apify.com/nikse77/paginegialle-scraper.md - **Developed by:** [A L](https://apify.com/nikse77) (community) - **Categories:** Lead generation, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## PagineGialle Business Directory Scraper ### What does PagineGialle Business Directory Scraper do? This Actor extracts **business directory listings from [paginegialle.it](https://www.paginegialle.it)**, Italy's largest business directory, filtered by **category and city**. For every listing you get the company name, phone number, full address and a short description — extracted via fast HTTP requests (no browser), which keeps runs quick and cheap. Running on the Apify platform gives you API access, scheduling, webhooks and integrations (Google Sheets, Make, Zapier, LangChain) on top of a clean, structured dataset instead of manually browsing search results. ### Why use PagineGialle Business Directory Scraper? - **Market research** — map how many businesses of a given category operate in a city or region. - **Directory building** — populate your own local business directory or comparison site. - **Competitive analysis** — see who else operates in your category and area, and how they're listed. - **AI agents** — feed clean, structured JSON to a dashboard or LLM agent instead of scraping search pages yourself. ### How to use PagineGialle Business Directory Scraper 1. Open the Actor and click **Try for free**. 2. Set **Category** (e.g. `idraulici`, `ristoranti`, `avvocati`) and **City** (e.g. `Milano`). 3. Set **Max listings** and click **Start**. 4. Download the dataset as **JSON, CSV, Excel or HTML**, or read it via API. ### Input ```json { "categoria": "idraulici", "comune": "Milano", "maxItems": 200 } ```` Alternatively, paste one or more paginegialle.it search URLs directly under the advanced **Start URLs** option. ### Output One JSON object per listing. Example: ```json { "id": "3230661b-55b4-435a-8c70-5864e7d5222b", "name": "Fidelity Service Idraulico Pronto Intervento", "url": "https://www.paginegialle.it/ig/fidelity_service_pronto_intervento_idraulico-3230661b-...", "phones": ["331 5436845"], "description": "FIDELITY SERVICE PRONTO INTERVENTO IDRAULICO 24 ORE...", "street": "Via Larga, 6", "zip": "20122", "city": "Milano", "province": "MI", "region": "Lombardia" } ``` #### Main data fields | Field | Description | | --- | --- | | `name` | Business name as listed | | `phones` | Phone number(s) shown on the listing | | `street`, `zip`, `city`, `province`, `region` | Full address, with region derived from the listing's location | | `description` | Short business description, if shown | | `url` | Link to the full listing on paginegialle.it | ### How much does it cost to extract PagineGialle listings? Pricing is **pay-per-event**: a small fee per Actor start plus a fee per listing returned. You are only charged for **unique listings actually saved**. A typical 100-listing run completes in a few seconds. ### Tips - Keep **Max listings** close to what you need — you pay per result. - Narrower categories return more relevant results per page than broad, generic terms. - Schedule the Actor periodically to keep a directory snapshot up to date. ### FAQ & disclaimers **Is it legal to extract PagineGialle listings?** This Actor extracts publicly available directory data only. Listings may include business contact details; make sure your use complies with applicable laws and paginegialle.it's terms, and use the data responsibly. **Found a bug or missing field?** Open an issue in the **Issues** tab — feedback is usually addressed within days. Custom solutions available on request. # Actor input Schema ## `categoria` (type: `string`): Business category or search keyword, e.g. "idraulici", "ristoranti", "avvocati". ## `comune` (type: `string`): City or town, e.g. "Milano". ## `startUrls` (type: `array`): Optional: paste paginegialle.it search URLs directly instead of using Category/City. ## `maxItems` (type: `integer`): Maximum number of listings to return. You are only charged for unique listings actually saved to the dataset. ## `proxyConfiguration` (type: `object`): Proxies to use. Apify automatic proxies are recommended. ## Actor input object example ```json { "categoria": "idraulici", "comune": "Milano", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "categoria": "idraulici", "comune": "Milano", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("nikse77/paginegialle-scraper").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 = { "categoria": "idraulici", "comune": "Milano", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("nikse77/paginegialle-scraper").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 '{ "categoria": "idraulici", "comune": "Milano", "proxyConfiguration": { "useApifyProxy": true } }' | apify call nikse77/paginegialle-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nikse77/paginegialle-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PagineGialle Business Directory Scraper", "description": "Extract Italian business directory listings from paginegialle.it by category and city: company name, phone, address and description. Fast HTTP-based extraction, no browser needed.", "version": "0.1", "x-build-id": "Q6kFzPcasgLMTxPqo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nikse77~paginegialle-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nikse77-paginegialle-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nikse77~paginegialle-scraper/runs": { "post": { "operationId": "runs-sync-nikse77-paginegialle-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nikse77~paginegialle-scraper/run-sync": { "post": { "operationId": "run-sync-nikse77-paginegialle-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "categoria": { "title": "Category", "type": "string", "description": "Business category or search keyword, e.g. \"idraulici\", \"ristoranti\", \"avvocati\"." }, "comune": { "title": "City", "type": "string", "description": "City or town, e.g. \"Milano\"." }, "startUrls": { "title": "Start URLs (advanced)", "type": "array", "description": "Optional: paste paginegialle.it search URLs directly instead of using Category/City.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max listings", "minimum": 1, "type": "integer", "description": "Maximum number of listings to return. You are only charged for unique listings actually saved to the dataset.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxies to use. Apify automatic proxies are recommended.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```