# 1881 Scraper (`natanielsantos/1881-scraper`) Actor This tool enables you to easily extract data from the Norwegian website kart.1881.no. - **URL**: https://apify.com/natanielsantos/1881-scraper.md - **Developed by:** [Nataniel Santos](https://apify.com/natanielsantos) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### What does 1881 Scraper do? 1881 Scraper is a web scraper designed to extract data information from the Norwegian directory website kart.1881.no. It allows users to search for businesses based on specific queries and retrieves details such as business name, address, phone number, and more. ### ✨ Features - πŸ” Search for specific queries - 🧹 Clean and structured output data. - ⚑ Fast and reliable scraping - πŸ§‘β€πŸ’» Perfect for non-technical users - πŸ“¦ Outputs data in multiple formats like JSON, CSV, Excel and more ### ⬇️ What You Need to Provide To use 1881 Scraper, you need to provide the following: - **πŸ” Search Queries** to search on kart.1881.no - **πŸ”’ Max Items Per Query** - **πŸ“ Scrape Full Details** - Wether to scrape additional details for each result item or not - **πŸ“Š Search Type** - It can be either `company`, `address` or `person` ### πŸ“₯ Output Format The output of 1881 Scraper is a structured JSON object containing the following fields: - `name`: The name of the business or entity. - `address`: The address of the business or entity. - `phone`: The phone number of the business or entity. - `id`: The unique identifier for the business or entity. - `type`: The type of the business or entity (e.g., company, address, person). - `lat`: The latitude coordinate of the business or entity. - `lon`: The longitude coordinate of the business or entity. - `phoneNumber`: The phone number of the business or entity. - `website`: The website URL of the business or entity. - `email`: The email address of the business or entity. - `facebook`: The Facebook page URL of the business or entity. - `instagram`: The Instagram profile URL of the business or entity. - `otherLinks`: An array of other relevant links associated with the business or entity. - `contactList`: An array of contact objects, each containing a `label` and a `value` representing different contact methods for the business or entity. ### πŸ“¦ Output Example ```json { "name": "Restaurant Teatro", "address": "Stortingsgata 16, 0161 Oslo", "phone": "004721507220", "id": "105296483S1", "type": "company", "lat": 59.9135551452637, "lon": 10.7358512878418, "phoneNumber": "004721507220", "website": "http://restaurantteatro.no/", "email": "post@restaurantteatro.no", "facebook": "https://www.facebook.com/teatrooslo/", "instagram": "http://www.instagram.com/teatrooslo", "otherLinks": [], "contactList": [ { "label": "Mobiltelefon", "value": "902 20 050" }, { "label": "Eik Teater AS", "value": "907 17 743" } ] } ```` ### πŸ’²How much will scraping 1881 Scraper cost you? The pricing changes according to your Apify plan. - Free: **$5.00**/1,000 results - Starter: **$3.00**/1,000 results - Scale: **$2.00**/1,000 results - Business: **$2.00**/1,000 results ### 🧩 Integrations and 1881 Scraper 1881 Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, [and more](https://docs.apify.com/integrations). Or you can use [webhooks](https://docs.apify.com/integrations/webhooks) to carry out an action whenever an event occurs, e.g. get a notification whenever 1881 Scraper successfully finishes a run. ### πŸ”ŒUsing 1881 Scraper with the Apify API The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more. To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package. Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for full details or click on the [API tab](https://apify.com/natanielsantos/1881-scraper/api) for code examples. ### πŸ’¬ Giving feedback We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for 1881 Scraper or simply found a bug, please create an issue on the Actor’s [Issues tab](https://apify.com/natanielsantos/1881-scraper/issues/open) in Apify Console. πŸ“§ Email: nathan.santos159@hotmail.com # Actor input Schema ## `searchQueries` (type: `array`): List of search queries to search for on kart.1881.no ## `maxItemsPerQuery` (type: `integer`): Maximum number of items to scrape for each search query ## `scrapeFullDetails` (type: `boolean`): Whether to scrape full details for each item (including email, website, social media links, etc.) ## `searchType` (type: `string`): List of search types to include in the results. Possible values are 'company', 'person' or 'address' ## Actor input object example ```json { "searchQueries": [ "restaurant" ], "maxItemsPerQuery": 50, "scrapeFullDetails": true, "searchType": "company" } ``` # 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 = { "searchQueries": [ "restaurant" ], "searchType": "company" }; // Run the Actor and wait for it to finish const run = await client.actor("natanielsantos/1881-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchQueries": ["restaurant"], "searchType": "company", } # Run the Actor and wait for it to finish run = client.actor("natanielsantos/1881-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "restaurant" ], "searchType": "company" }' | apify call natanielsantos/1881-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=natanielsantos/1881-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "1881 Scraper", "description": "This tool enables you to easily extract data from the Norwegian website kart.1881.no.", "version": "0.0", "x-build-id": "rD4thyZm5gyOwgjFB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/natanielsantos~1881-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-natanielsantos-1881-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/natanielsantos~1881-scraper/runs": { "post": { "operationId": "runs-sync-natanielsantos-1881-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/natanielsantos~1881-scraper/run-sync": { "post": { "operationId": "run-sync-natanielsantos-1881-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "πŸ” Search Queries", "type": "array", "description": "List of search queries to search for on kart.1881.no", "items": { "type": "string" } }, "maxItemsPerQuery": { "title": "Max Items per Query", "type": "integer", "description": "Maximum number of items to scrape for each search query", "default": 50 }, "scrapeFullDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "Whether to scrape full details for each item (including email, website, social media links, etc.)", "default": true }, "searchType": { "title": "Search Type", "enum": [ "company", "person", "address" ], "type": "string", "description": "List of search types to include in the results. Possible values are 'company', 'person' or 'address'", "default": "company" } } }, "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 } } } } } } } } } } ```