PagineGialle B2B A powerful and robust Apify actor for extracting detailed business data from the Italian Yellow Pages website, PagineGialle.it. It is designed to bypass anti-scraping measures, automatically handle full pagination, and provide structured data for business analysis, marketing, or lead generation. ## Key Features - Multi-Category & Multi-City Scraping: Launch complex searches for multiple business categories across several cities in a single run. - Smart Automatic Pagination: The actor automatically detects the total number of result pages for each search and scrapes all of them, ensuring comprehensive data collection. - Residential Proxy Support: Seamlessly integrates with Apify's residential proxies (useProxy) to avoid blocks and bypass anti-scraping measures, which is essential for getting complete results from PagineGialle. - Results Filtering: Refine your data collection by choosing to keep only businesses that have an email address or a phone number listed. - High Concurrency: Configure the number of parallel requests (maxConcurrency) to optimize scraping speed according to your needs. - Rich, Structured Data: Extracts a wide range of data fields, including contact information, GPS coordinates, social media links, user ratings, and more. - Stable Environment: Built on a stable version of Python (3.12) to ensure reliability and compatibility. ## How to Use 1. Go to the Actor on the Apify platform. 2. Click the "Start" button. 3. Configure your search in the "Input" tab. - Add the desired categories (e.g., ristoranti, hotel). - Add the desired cities (e.g., roma, milano). 4. Enable Proxies: For complete results, it is highly recommended to leave the useProxy option checked (true). Without it, the website will likely only return the first page of results. 5. Run the Actor and wait for the run to finish. 6. Retrieve your data from the dataset's "Output" tab. ## Input Configuration The actor accepts the following parameters: | Parameter | Type | Description | Default Value | | :--- | :--- | :--- | :--- | | categories | Array | A list of business categories to search for. | ["ristoranti"] | | cities | Array | A list of cities in which to perform the searches. | ["roma"] | | useProxy | Boolean | Recommended. Uses Apify's residential proxies to avoid being blocked. | true | | maxConcurrency| Integer | The number of simultaneous requests to speed up scraping. | 5 | | filterByEmail| Boolean | If checked, only results containing an email address will be kept. | false | | filterByPhone| Boolean | If checked, only results containing a phone number will be kept. | false | ## Output Schema Each record in the output dataset will represent a single business and will have the following structure: | Field | Type | Description | | :--- | :--- | :--- | | businessName | String | The common name of the business. | | address | String | The full street address of the business. | | phoneNumber | String | The primary contact phone number. | | website | String | The URL of the business's official website. | | email | String | The contact email address. | | rating | Number | The average user rating (out of 5). | | reviews_count | Integer| The total number of user reviews. | | whatsapp | String | The WhatsApp business number, if available. | | facebook | String | The URL of the official Facebook page. | | instagram | String | The URL of the official Instagram profile. | | twitter | String | The URL of the official Twitter profile. | | latitude | String | The geographic latitude. | | longitude | String | The geographic longitude. | | zip_code | String | The postal code. | | city | String | The city where the business is located. | | province | String | The province (e.g., RM for Rome). | | opening_hours| String | A JSON string representing the opening hours schedule. | | description | String | A short description of the business activity. | | category | String | The category term used for the search. | | scraped_city | String | The city term used for the search. | | unique_id | String | A unique identifier for the business listing. | | timestamp | String | The UTC timestamp of when the data was scraped. | ## License This project is licensed under the MIT License.