Contact

If you encounter any issues or need to exchange information, please feel free to contact us through the following link: My profile

Allabolag.se Business Search Scraper - Advanced Business Data Extraction Tool

Introduction

Allabolag.se is a comprehensive online platform that provides detailed information about Swedish companies, including financial data, ownership structures, and industry classifications. For businesses, researchers, and entrepreneurs looking to tap into the Swedish market, accessing this wealth of corporate information manually can be incredibly time-consuming and inefficient.

The Swedish business landscape represents one of Europe's most dynamic economies, with thousands of companies across various industries generating substantial revenue and employment opportunities. Whether you're conducting market research, seeking potential business partners, identifying competitors, or building lead databases, having access to comprehensive Swedish company data is crucial for making informed decisions.

Our Allabolag.se Business Scraper addresses the challenge of efficiently extracting this valuable information at scale, transforming hours of manual research into automated data collection that delivers structured, actionable business intelligence.

Scraper Overview

The Allabolag.se Business Scraper is a powerful automation tool designed to extract comprehensive business information from Sweden's leading corporate database. It offers access to financial reports, key figures, credit information, and details about company officers, enabling users to make informed business decisions.

This scraper excels in several key areas that make it indispensable for business intelligence gathering. It maintains high accuracy by directly extracting data from official sources, ensures consistent formatting across all extracted records, and provides comprehensive coverage of Swedish businesses across all industries and sizes.

The tool is particularly valuable for sales teams building targeted prospect lists, market researchers analyzing industry trends, investment professionals conducting due diligence, business development teams identifying potential partners or acquisition targets, and consultants requiring detailed company profiles for client projects. Its automated approach eliminates the tedious manual process of visiting individual company pages and copying information.

Detailed Input and Output Specifications

Example url 1: https://www.allabolag.se/bransch-s%C3%B6k?q=Restauranger

Example url 2: https://www.allabolag.se/bransch-s%C3%B6k?q=lo

Example url 3: https://www.allabolag.se/bransch-s%C3%B6k?q=Agenturhandel-%C3%B6vrig

Example Screenshot of business information page:

Input Format

The scraper accepts a JSON configuration that allows precise control over the data extraction process. The input structure includes several critical parameters that determine how the scraping operation will be executed.

Scrape with Urls:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "ignore_url_failures": true,
  "max_items_per_url": 20, // Total items per page you want scrape
  "urls": [ // Links to business list by query pages.
    "https://www.allabolag.se/bransch-s%C3%B6k?q=Restauranger",
    "https://www.allabolag.se/bransch-s%C3%B6k?q=Agenturhandel-%C3%B6vrig",
    "https://www.allabolag.se/bransch-s%C3%B6k?q=lo"
  ]
}

When you provide a list of URLs from search result pages for scraping, all options in the "scrape with search filters" section will be disabled. The system will only collect data from the URLs you specified, and the "scrape with urls" method will use the options listed below:

The urls parameter can contain specific Allabolag.se search result URLs targeting your desired business categories. However, when using the keyword search feature with filters like county and municipality, you should leave this as null and let the scraper build the search URL automatically.

The ignore_url_failures parameter allows the scraper to continue processing other URLs even if some fail, ensuring that one problematic URL doesn't stop your entire scraping job.

Scrape with Filters options:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "max_items_per_url": 20, // Total items you want scrape
  "keyword": "Restauranger", // The search keyword to find businesses (e.g., "Restauranger" for restaurants)
  "county": "Halland", // Filter businesses by county/region
  "municipality": "Halmstad", // Filter businesses by municipality/city within the county
  "page": 1, // The starting page number for search results
}

When using search filters for scraping, you need to leave the urls field in the configuration empty (or set it to null) of "scrape with urls". The "scrape with search filters" method will use the options listed below:

The keyword parameter enables you to search for businesses by category or industry type (e.g., "Restauranger" for restaurants). This works in combination with location filters to narrow down your search results.

The county and municipality parameters provide geographic filtering, allowing you to target businesses in specific regions of Sweden. For example, "Halland" as the county and "Halmstad" as the municipality will focus your search on businesses in that specific area.

The page parameter specifies which page of search results to start scraping from, useful for continuing interrupted scrapes or targeting specific result ranges.

General options:

Here are the general options that apply to all scraping modes:

The max_items_per_url parameter controls how many business listings are extracted from each search results page. Setting this to 20 provides a manageable batch size while allowing for comprehensive data collection across multiple pages.

The max_retries_per_url parameter sets the maximum number of retry attempts for each URL or Search filters, ensuring robust data collection even when facing temporary network issues or server responses. Setting this to 2 provides a good balance between thoroughness and efficiency.

The proxy configuration is essential for maintaining anonymity and avoiding detection. The residential proxy option with Singapore as the country ensures that your scraping activities appear as legitimate Swedish business research, reducing the risk of being blocked or rate-limited.

Output Format

You get the output from the Allabolag.se Business Search Query Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of business information
  {
    "url": "https://www.allabolag.se/foretag/grinda-w%C3%A4rdshus-ab/vaxholm/restauranger/2JZRZHCI5YH9F",
    "main_office": null,
    "name": "Grinda Wärdshus AB",
    "orgnr": "5562514272",
    "business_unit_id": null,
    "company_id": "2JZRZHCI5YH9F",
    "listing_id": "3553181",
    "customer_id": "2052608",
    "phone": "08 54249491",
    "phone2": null,
    "mobile": "08 54249491",
    "mobile2": null,
    "fax_number": null,
    "home_page": "http://www.grindawardshus.se",
    "email": null,
    "marketing_protection": false,
    "industries": [
      {
        "code": "10006755",
        "name": "Restauranger",
        "description": null,
        "style": "PRIPAKKO",
        "company_id": "2JZRZHCI5YH9F",
        "sales_rank": 600
      },
      {
        "code": "10239424",
        "name": "Hotell",
        "description": null,
        "style": "PRIPAKST",
        "company_id": "2JZRZHCI63GSG",
        "sales_rank": 400
      }
    ],
    "location": {
      "country_part": "Hela Sverige",
      "county": null,
      "municipality": null,
      "coordinates": null
    },
    "current_industry": {
      "code": "10006755",
      "name": "Restauranger",
      "description": null,
      "company_id": null
    },
    "visitor_address": {
      "address_line": "Bryggpost Grinda S.",
      "box_address_line": null,
      "zip_code": "185 99",
      "post_place": "Vaxholm"
    },
    "postal_address": null,
    "description": null,
    "advert_type": "PRIPAKKO",
    "logo": {
      "image_id": "6978533"
    },
    "search_result_image": null,
    "legal_name": "Grinda Wärdshus AB",
    "revenue": "33804",
    "currency": "SEK",
    "profit": "1242",
    "company_accounts_last_updated_date": "2023-12",
    "employees": "20",
    "contact_person": {
      "type": "Person",
      "name": "Jan Stefan Pfister",
      "role": "Verkställande direktör",
      "id": "10546585",
      "birth_date": "28.07.1961",
      "business_person": true
    },
    "status": null,
    "status_remarks": [],
    "certificates": [
      {
        "type": "UC_SIGILL",
        "sub_type": "5",
        "start_date": "2025-06-27"
      }
    ],
    "rating": null,
    "rating_settings": null,
    "search_highlights": null,
    "from_url": "https://www.allabolag.se/bransch-s%C3%B6k?q=Restauranger"
  }, // ... Many other business details
]

The scraper delivers comprehensive business data in a structured format with 39 distinct fields, each serving specific analytical and operational purposes:

Core Identity Fields:

• URL: Direct link to the company's Allabolag profile, essential for verification and additional research
• Name: Official business name as registered, crucial for accurate identification
• Legal Name: Full legal entity name, important for contracts and official communications
• Orgnr: Swedish organization number, the unique government-assigned identifier
• Company ID, Business Unit ID, Listing ID, Customer ID: Various internal identifiers for database management and cross-referencing

Contact Information:

• Phone, Phone2, Mobile, Mobile2: Multiple contact numbers enabling comprehensive outreach strategies
• Fax Number: Traditional communication method still used in formal business contexts
• Email: Direct email contact for digital marketing and communication
• Home Page: Company website for additional research and validation

Location Data:

• Main Office, Location: Primary business address information
• Visitor Address: Physical location for meetings and visits
• Postal Address: Mailing address for correspondence and document delivery

Business Intelligence:

• Industries, Current Industry: Industry classifications for market segmentation
• Description: Company overview providing context about business activities
• Revenue, Currency, Profit: Financial performance metrics crucial for business analysis
• Employees: Workforce size indicating company scale and capacity
• Company Accounts Last Updated Date: Data freshness indicator

Marketing and Analysis Fields:

• Marketing Protection: Privacy preferences affecting outreach strategies
• Contact Person: Key decision-maker information for targeted communications
• Status, Status Remarks: Current business operational status
• Certificates: Professional certifications and compliance indicators
• Rating, Rating Settings: Performance and reliability metrics
• Logo, Search Result Image: Visual assets for presentations and identification

Additional Intelligence:

• Advert Type: Marketing classification providing insight into company promotional strategies
• Search Highlights: Key distinguishing features or recent developments

Usage Instructions

Getting started with the scraper requires following a systematic approach to ensure optimal results and data quality.

The scraper offers two flexible methods for data collection. You can either use direct URLs from Allabolag.se search results or configure search filters programmatically. When using URLs, begin by identifying your target business categories or industries within the Swedish market. Navigate to Allabolag.se and perform searches using relevant Swedish terms for your target sectors. Copy the resulting search page URLs and incorporate them into your input configuration.

Alternatively, you can utilize search filters to automate your queries without manually copying URLs. Define your search parameters using the keyword field for business types (e.g., "Restauranger" for restaurants), specify geographic filters through the county field (e.g., "Halland") and municipality field (e.g., "Halmstad"), and set the starting page number for pagination. This method is particularly efficient when conducting systematic research across multiple regions or when you need to regularly update data from the same search criteria.

Configure your proxy settings appropriately, ensuring you select a proxy location that aligns with legitimate business research practices. The residential proxy option provides the best balance of anonymity and reliability.

Set your extraction limits based on your specific needs and available resources. Starting with smaller batches allows you to test the data quality and adjust parameters before scaling up to larger operations.

Monitor the extraction process to identify any potential issues early. The retry mechanism handles temporary failures automatically, but unusual patterns may indicate the need for parameter adjustments.

Common troubleshooting steps include verifying URL formats, ensuring proxy connectivity, adjusting retry parameters for challenging extractions, and validating that target pages contain the expected business listing formats. When using search filters, ensure your keyword and location parameters match valid entries on Allabolag.se to avoid empty results.

Benefits and Applications

The Allabolag.se Business Scraper delivers significant time savings and competitive advantages across multiple business scenarios. Instead of spending hours manually researching individual companies, users can extract comprehensive data for hundreds of businesses in minutes.

Market research applications include competitive analysis, industry trend identification, market sizing calculations, and customer segmentation studies. Sales and business development teams use the extracted data for lead generation, account prioritization, territory planning, and prospecting automation.

Investment and financial analysis applications encompass due diligence research, portfolio company monitoring, merger and acquisition target identification, and market opportunity assessment. The comprehensive financial data enables rapid screening and analysis of potential investments.

The structured output format facilitates easy integration with CRM systems, marketing automation platforms, business intelligence tools, and custom analysis applications, maximizing the value of extracted data across organizational workflows.

Conclusion

The Allabolag.se Business Scraper represents an essential tool for anyone serious about engaging with the Swedish business market. By automating the extraction of comprehensive company data, it transforms time-consuming manual research into efficient, scalable intelligence gathering.

Ready to unlock the power of Swedish business data? Start extracting valuable company insights today and gain the competitive advantage that comes with comprehensive market intelligence.

Related Actors

• Allabolag Business Details Scraper: Your comprehensive tool for extracting valuable business information from Allabolag extensive directory platform.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Allabolag.se Business Search Query Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.