Bundesanzeiger Filings Scraper

Export structured publication rows from the German Federal Gazette (Bundesanzeiger) for compliance, accounting, credit-risk, and corporate-intelligence workflows.

What does Bundesanzeiger Filings Scraper do?

Bundesanzeiger Filings Scraper searches the public Federal Gazette website and saves publication rows as a clean dataset.

It can search by company name, fund name, or keyword.

It can limit searches to major Bundesanzeiger sections.

It can optionally open detail pages and include notice text.

The actor is designed for repeat monitoring and export workflows.

Who is it for?

Compliance and KYC teams

Compliance teams use this actor to monitor official company notices for onboarding, periodic review, and watchlist checks. Schedule recurring searches for customer names, export new publication rows, and route changes into case-management or audit workflows.

Credit-risk and lending analysts

Credit-risk teams use it to track German corporate disclosures before underwriting, renewal, or portfolio-review decisions. Search borrower names, subsidiaries, and guarantors, then compare publication dates and titles across repeat runs.

Accounting and audit teams

Accounting teams use it to find financial report publications and supporting Federal Gazette notices. Use company-name batches to collect structured rows for audit evidence, month-end close checks, or client monitoring.

Corporate-intelligence and data teams

Corporate-intelligence teams use it to maintain German company watchlists. Data vendors and enrichment teams can combine the extracted title, date, area, company, and detail URL with internal company profiles or CRM records.

Legal operations teams

Legal operations teams use it to archive notice metadata and optional notice text for internal review. Keep detail extraction on for evidence collection, or keep it off for cheaper monitoring runs.

Why use this actor?

Bundesanzeiger search results are useful but not convenient for automation.

This actor turns the public table into typed JSON records.

You can schedule runs, export CSV files, or send results to downstream tools.

You can monitor several companies in one run.

You can keep detail extraction off for fast watchlist runs.

You can enable detail extraction when notice text is required.

What data can you extract?

The actor extracts one dataset item per publication row.

Field	Description
query	Search query that produced the row
searchArea	Bundesanzeiger area filter used
companyName	Company, fund, or publisher name
location	Location shown under the name
area	Federal Gazette area/category
publicationTitle	Linked publication title
information	Full information cell text
publicationDate	Publication date from the result table
detailUrl	Detail page URL for the notice
noticeText	Optional detail-page notice text
sourceUrl	Search result page URL
fetchedAt	ISO timestamp of extraction

How much does it cost to scrape Bundesanzeiger filings?

This actor uses pay-per-event pricing: a fixed run-start charge plus a small per-publication charge for every saved dataset item.

Charge	FREE	BRONZE	SILVER	GOLD	PLATINUM	DIAMOND
Run start	$0.005000	$0.005000	$0.005000	$0.005000	$0.005000	$0.005000
Publication saved	$0.000034251	$0.000029784	$0.000023231	$0.000017870	$0.000011914	$0.000010000

Example cost estimates before Apify platform fees or discounts:

Run size	FREE estimate	BRONZE estimate	What it is good for
20 publications	about $0.0057	about $0.0056	First test run or one-company lookup
120 publications	about $0.0091	about $0.0086	Realistic monitoring export
1,000 publications	about $0.0393	about $0.0348	Larger portfolio or historical collection

The Apify free plan can usually cover many small tests because the default example input saves only 20 publications and costs well under one cent in actor charges. For predictable spend, start with maxItems: 20, review the dataset, then increase the limit for scheduled monitoring.

Cost tips:

• Keep maxItems low for exploratory runs.
• Disable detail extraction when you only need search rows.
• Enable detail extraction when you need the notice body for evidence or summarization.
• Batch related company names in one run to avoid repeated start charges.

How to use Bundesanzeiger Filings Scraper

1. Enter one or more company names or keywords.
2. Choose a Bundesanzeiger search area if needed.
3. Set maxItems to the maximum number of publications to save.
4. Decide whether to open detail pages.
5. Run the actor.
6. Download the dataset as JSON, CSV, Excel, or XML.

Input options

queries

Company names, fund names, or keywords.

Examples:

• Siemens
• BASF
• Deutsche Bank
• Jahresabschluss

searchArea

Use all for the broadest search.

Use business for business disclosures.

Use accounting for accounting and financial reports.

Use capital_market for funds and capital-market publications.

maxItems

The total number of publication rows to save across all queries.

The default is intentionally small so the first run is cheap.

includeDetails

When false, the actor saves search result rows only.

When true, the actor opens each result page and saves noticeText.

startUrls

Advanced users can provide existing Bundesanzeiger result URLs.

This is useful when you want to continue from a known result page.

Output example

{
  "query": "Siemens",
  "searchArea": "all",
  "companyName": "Siemens Gamesa Renewable Energy Deutschland GmbH",
  "location": "Bremerhaven",
  "area": "Business Disclosures",
  "publicationTitle": "Aufsichtsrat",
  "information": "Aufsichtsrat",
  "publicationDate": "06/26/2026",
  "detailUrl": "https://www.bundesanzeiger.de/pub/en/search2?...",
  "noticeText": "Siemens Gamesa Renewable Energy Deutschland GmbH ...",
  "sourceUrl": "https://www.bundesanzeiger.de/pub/en/search2?2",
  "fetchedAt": "2026-06-28T04:52:50.488Z"
}

Tips for better results

Use exact company names for targeted monitoring.

Use broader keywords for discovery workflows.

Run separate tasks for separate portfolios.

Use accounting when you only need annual financial statements.

Use business when you need corporate notices and shareholder information.

Use capital_market when monitoring funds or securities publications.

Monitoring workflows

Create an Apify task with a fixed query list.

Schedule it daily, weekly, or monthly.

Export the dataset to your data warehouse.

Compare new rows against previous runs using publication title and date.

Send alerts when a watched company appears.

Integrations

Use Apify webhooks to notify your compliance system after each run.

Use Make or Zapier to push CSV rows to Google Sheets.

Use the Apify API to load results into a CRM or risk platform.

Use datasets to keep a historical archive of notices.

Use storage integrations to export files to S3-compatible storage.

API usage with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/bundesanzeiger-filings-scraper').call({
  queries: ['Siemens'],
  searchArea: 'business',
  maxItems: 50,
  includeDetails: false,
});
console.log(run.defaultDatasetId);

API usage with Python

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/bundesanzeiger-filings-scraper').call(run_input={
    'queries': ['BASF'],
    'searchArea': 'accounting',
    'maxItems': 50,
    'includeDetails': True,
})
print(run['defaultDatasetId'])

API usage with cURL

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~bundesanzeiger-filings-scraper/runs?token=YOUR_APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"queries":["Siemens"],"maxItems":20,"includeDetails":false}'

MCP access

You can use this actor from Claude Desktop, Claude Code, or any MCP client through Apify MCP.

MCP URL:

https://mcp.apify.com/?tools=automation-lab/bundesanzeiger-filings-scraper

Claude Code setup:

$claude mcp add apify-bundesanzeiger --transport http https://mcp.apify.com/?tools=automation-lab/bundesanzeiger-filings-scraper

Claude Desktop or generic MCP JSON configuration:

{
  "mcpServers": {
    "apify-bundesanzeiger": {
      "url": "https://mcp.apify.com/?tools=automation-lab/bundesanzeiger-filings-scraper"
    }
  }
}

Example prompts:

• "Search Bundesanzeiger for Siemens business disclosures."
• "Find the latest accounting publications for BASF."
• "Monitor these German companies and summarize new publication titles."

Reliability notes

The Bundesanzeiger website uses session-scoped Wicket links.

The actor preserves cookies and follows pagination links within one HTTP session.

Detail URLs may be session-specific.

For persistent references, store the extracted title, date, company, and source page.

Legality, legal, and ethical use

This actor extracts publicly available Federal Gazette pages.

You are responsible for complying with applicable laws and terms.

Do not use the actor to overload the target website.

Keep schedules reasonable.

Store only data you are allowed to process.

Troubleshooting

Why do I get fewer rows than expected?

The search area may be too narrow, or the query may have few matches.

Try searchArea: all and a broader keyword.

Why is noticeText empty?

Enable includeDetails to open detail pages.

Some rows may not expose a long body beyond the publication title.

Why are detail URLs unusual?

Bundesanzeiger uses session-scoped links.

Use the saved row fields as the stable data record.

Related scrapers

Explore other Automation Lab actors for public records, company intelligence, and compliance monitoring.

• https://apify.com/automation-lab/handelsregister-de-scraper
• https://apify.com/automation-lab/insolvenzbekanntmachungen-de-scraper
• https://apify.com/automation-lab/website-contact-finder

Changelog

Initial version supports keyword search, section filters, pagination, optional detail extraction, and typed output.

Support

If the site changes or your workflow needs another Bundesanzeiger section, open an issue on the actor page.

FAQ

Can I search multiple companies at once?

Yes. Add multiple strings to queries.

Can I extract financial reports only?

Yes. Set searchArea to accounting.

Can I extract capital market publications?

Yes. Set searchArea to capital_market.

Can I run this actor every day?

Yes. Create an Apify task and schedule it.

Does the actor require login?

No. It uses the public Bundesanzeiger search pages.

Does it download PDFs?

The initial version focuses on search rows and notice text. If a publication exposes document links, request PDF extraction as a follow-up feature.