# Allabolag Business Scraper (NEW) (`gottfrid/gottfrid-allabolag-scraper`) Actor Seamlessly scrapes Allabolag.se search pages. With exclusion list support. Returns data in ProffRecord format. The fastest and cheapest version. - **URL**: https://apify.com/gottfrid/gottfrid-allabolag-scraper.md - **Developed by:** [Mille Bengtsson](https://apify.com/gottfrid) (community) - **Categories:** Lead generation, Integrations, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. 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 ## Norrsyn Allabolag Scraper Custom Apify actor for [Norrsyn Signal Engine](https://github.com/norrsyn/signal-engine). Scrapes Allabolag.se company listings with **exclusion list** support. ### Why This Exists The standard Proff/Allabolag scraper (`stealth_mode/proff-bussiness-search-scraper`) works for Nordic searches but has no exclusion list. When Norrsyn runs repeated screenings against a client's TAM (e.g., 12,000 manufacturing companies), the same companies are returned every time. This actor solves that: - **`exclude_org_numbers`**: Skip companies already in the pipeline - **Excluded companies don't count toward `max_items_per_url`** - Requesting "200 new companies" actually returns 200 *new* companies ### How It Works 1. Accepts Allabolag category URLs (both `/branscher/X` and `/bransch-sök?q=X` formats) 2. Fetches pages and extracts company data from Next.js `__NEXT_DATA__` SSR JSON 3. For each company: checks exclusion list → skip if excluded, save if new 4. Paginates until `max_items_per_url` new companies found per URL 5. Outputs in **ProffRecord format** (snake_case) for pipeline compatibility ### Input ```json { "urls": ["https://www.allabolag.se/branscher/tillverkning"], "max_items_per_url": 200, "exclude_org_numbers": ["5560518812", "5567005961"], "max_pages_per_url": 400 } ```` ### Output Each company in the dataset matches the ProffRecord format: ```json { "name": "DENTSPLY IH AB", "legal_name": "Dentsply IH AB", "orgnr": "5560518812", "revenue": "3398955", "employees": "378", "industries": [{"code": "10005410", "name": "Medicinteknisk utrustning"}], "location": {"county": "Västra Götaland", "municipality": "Mölndal"}, "from_url": "https://www.allabolag.se/bransch-sök?q=tillverkning" } ``` ### Local Development ```bash npm install ## Create test input mkdir -p apify_storage/key_value_stores/default echo '{"urls":["https://www.allabolag.se/branscher/tillverkning"],"max_items_per_url":10}' > apify_storage/key_value_stores/default/INPUT.json npm start ``` ### Deploy ```bash apify login apify push ``` # Actor input Schema ## `urls` (type: `array`): Allabolag search URLs to scrape. Accepts both /branscher/X and /bransch-sök?q=X formats. ## `max_items_per_url` (type: `integer`): Maximum number of NEW companies to return per URL. Excluded companies do NOT count toward this limit. ## `exclude_org_numbers` (type: `array`): Array of org numbers to skip during scraping. Any format accepted (with/without dashes). These companies will not appear in results and will not count toward max\_items\_per\_url. ## `proxy_configuration` (type: `object`): Proxy settings. Set useApifyProxy: false for direct access (works from Sweden). ## `max_pages_per_url` (type: `integer`): Safety limit on number of pages to crawl per search URL. Each page has ~25 companies. ## Actor input object example ```json { "urls": [ "https://www.allabolag.se/bransch-s%C3%B6k?q=tillverkning" ], "max_items_per_url": 100, "exclude_org_numbers": [], "proxy_configuration": { "useApifyProxy": false }, "max_pages_per_url": 400 } ``` # 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 = { "urls": [ "https://www.allabolag.se/bransch-s%C3%B6k?q=tillverkning" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gottfrid/gottfrid-allabolag-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 = { "urls": ["https://www.allabolag.se/bransch-s%C3%B6k?q=tillverkning"] } # Run the Actor and wait for it to finish run = client.actor("gottfrid/gottfrid-allabolag-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 '{ "urls": [ "https://www.allabolag.se/bransch-s%C3%B6k?q=tillverkning" ] }' | apify call gottfrid/gottfrid-allabolag-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gottfrid/gottfrid-allabolag-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Allabolag Business Scraper (NEW)", "description": "Seamlessly scrapes Allabolag.se search pages. With exclusion list support. Returns data in ProffRecord format.\n\nThe fastest and cheapest version.", "version": "1.0", "x-build-id": "yZ7UYS4nPHq9P1qV0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gottfrid~gottfrid-allabolag-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gottfrid-gottfrid-allabolag-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gottfrid~gottfrid-allabolag-scraper/runs": { "post": { "operationId": "runs-sync-gottfrid-gottfrid-allabolag-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gottfrid~gottfrid-allabolag-scraper/run-sync": { "post": { "operationId": "run-sync-gottfrid-gottfrid-allabolag-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "urls" ], "properties": { "urls": { "title": "Search URLs", "type": "array", "description": "Allabolag search URLs to scrape. Accepts both /branscher/X and /bransch-sök?q=X formats.", "items": { "type": "string" } }, "max_items_per_url": { "title": "Max New Items Per URL", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of NEW companies to return per URL. Excluded companies do NOT count toward this limit.", "default": 100 }, "exclude_org_numbers": { "title": "Exclude Org Numbers", "type": "array", "description": "Array of org numbers to skip during scraping. Any format accepted (with/without dashes). These companies will not appear in results and will not count toward max_items_per_url.", "default": [], "items": { "type": "string" } }, "proxy_configuration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Set useApifyProxy: false for direct access (works from Sweden).", "default": { "useApifyProxy": false } }, "max_pages_per_url": { "title": "Max Pages Per Search", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Safety limit on number of pages to crawl per search URL. Each page has ~25 companies.", "default": 400 } } }, "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 } } } } } } } } } } ```