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Bundesanzeiger Germany Scraper

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Bundesanzeiger Germany Scraper

Bundesanzeiger Germany Scraper

Scrape Bundesanzeiger.de company publications: entity name and city, publication area, title and date, fiscal year period, and exempt subsidiaries. Includes the full publication text where publicly readable. Structured rows, ready for CRM or spreadsheet import.

Pricing

from $1.35 / 1,000 results

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Developer

Black Falcon Data

Black Falcon Data

Maintained by Community

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2

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1

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3 days ago

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What does Bundesanzeiger Germany Scraper do?

Bundesanzeiger Germany Scraper extracts structured company publication data from bundesanzeiger.de: the entity name and city, the publication area, title and date, the fiscal year period, and exempt subsidiaries — including the full publication text where it is publicly readable. It supports keyword search and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (extra per-record fields the search results omit).

How to use this actor

  • 👉 Register for a free Apify account — no credit card required.
  • 🎉 Just click Sign up free on Apify → and complete a quick signup.
  • 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
  • ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

  • 🔍 Keyword search: search bundesanzeiger.de by keyword with the query input.
  • 🔗 Paste-mode: paste bundesanzeiger.de URLs into startUrls to scrape exactly the pages you picked in the browser.
  • 📰 One row per gazette publication: each record names the filing company (entity_name / entityName), its seat (entity_city / entityCity), the Bundesanzeiger area (publication_area / publicationArea), the title (publication_title / publicationTitle), the notice line (publicationInfo) and the ISO date (publication_date / publicationDate). Narrow a search to one area with area (echoed as areaFilter); with details on you also get the report as fullText and document_excerpt / documentExcerpt, with contentKind (plain text, ESEF filing or access-protected) and contentGated for documents the site did not release. Each row links to its search via document_url / documentUrl and is stamped scraped_at.
  • 📊 Annual-report figures and fiscal year: the reporting period lands in fiscalYearStart and fiscalYearEnd (also fiscal_year_end), and group annual reports list the subsidiaries exempted under §§ 264(3) / 264b HGB in exemptSubsidiaries. Turn on extractFinancials to get revenue (Umsatzerlöse), total_assets (Bilanzsumme), total_equity (Eigenkapital), net_income (Jahresüberschuss/-fehlbetrag) and employee_count as numbers; a figure stays null when the report does not state it plainly.
  • 📋 Detail enrichment: toggle two-stage scraping: first collect listings, then enrich each with full description + detail-page-only fields. Off by default to keep runs fast; flip on when you need the deep payload.
  • ♻️ Incremental mode: recurring runs emit only directory entries that are new or updated — keep your supplier-outreach lists fresh without re-fetching the full directory. Saves 80–95% on weekly syncs.
  • 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
  • 📦 Compact mode: compact directory entries — name, contact, location, industry — ready to import into your CRM or outreach tool.
  • 🔌 MCP connectors: push your leads into Notion via Apify's MCP connectors — a tidy run-summary page, no export step, no glue code. Opt-in, deterministic field-mapping (no AI). More destinations as Apify's connector catalog grows.
  • 🧹 Empty-field stripping: drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
  • 📤 Export anywhere: Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from bundesanzeiger.de?

Each result includes Core company fields (listingId, searchQuery, contentQuality, scrapedAt, changeType, entity_name, entity_city, and publication_area, and more) and detail fields when enrichment is enabled (detailFetched). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Detail enrichment is on by default and fetches each record's detail page — extra fields the search results omit.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

  • query — Company name or full-text search terms (e.g. "SAP SE"). Leave empty and choose a Publication Area to browse the newest publications in that area. Use a JSON array for several searches.
  • area — Restrict the search to one area of the Bundesanzeiger. Leave empty for all areas.
  • maxResults — Maximum total results (0 = unlimited). (default: 100)
  • startUrls — Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by listing ID across all URLs. When provided, startUrls REPLACE the query/area fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
  • includeDetails — Fetch full listing details. (default: true)
  • extractFinancials — For annual reports (Rechnungslegung/Finanzberichte), read the published report and fill revenue (Umsatzerlöse), total assets (Bilanzsumme), equity (Eigenkapital), net income (Jahresüberschuss/-fehlbetrag) and average employee count. A figure the report does not state plainly stays null (small companies often publish no revenue). Off by default: opening each annual report adds time to the run. Needs Include Full Details. (default: false)
  • descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
  • compact — Core fields only (for AI-agent/MCP workflows). (default: false)
  • descriptionFormat — Pick a single description representation. all keeps every variant; text / html / markdown drop the others. (default: "all")
  • excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
  • incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state. (default: false)
  • stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
  • ...and 14 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
"query": "SAP SE",
"maxResults": 50
}

Incremental tracking — Only emit companies that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
"query": "SAP SE",
"maxResults": 200,
"incrementalMode": true,
"stateKey": "sap-se-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
"query": "SAP SE",
"maxResults": 50,
"compact": true
}

Output

Each run produces a dataset of structured company records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example company record

{
"listingId": "b62436499dac041486918f0f106b5e413958794824f8690bb70a2f1f93fcf3e6",
"searchQuery": "SAP SE",
"contentQuality": "full",
"detailFetched": true,
"scrapedAt": "2026-10-22T13:21:04.922Z",
"source": "bundesanzeiger.de",
"contentHash": "68a55fcd9260ed3e84be49e86aeccd5b9d909d8ddf049498c0704d63ef82ab69",
"entity_name": "SAP SE",
"entity_city": "Walldorf",
"publication_area": "Gesellschaftsbekanntmachungen",
"publication_title": "Dividendenbekanntmachung",
"publication_date": "2026-05-06",
"document_url": "https://www.bundesanzeiger.de/pub/de/start?fulltext=SAP%20SE",
"document_excerpt": "SAP SE Walldorf Wertpapier-Kenn-Nr. 716 460 / ISIN: DE 000 7 164 600 Dividendenbekanntmachung Die ordentliche Hauptversammlung unserer Gesellschaft vom 5. Mai 2026 hat u. a. beschlossen, den Bilanzgew...",
"scraped_at": "2026-10-22T13:21:04.922Z",
"id": "6ad7119f5ee81dc4",
"entityName": "SAP SE",
"entityCity": "Walldorf",
"publicationArea": "Gesellschaftsbekanntmachungen",
"publicationTitle": "Dividendenbekanntmachung",
"publicationDate": "2026-05-06",
"fullText": "SAP SE\nWalldorf\nWertpapier-Kenn-Nr. 716 460 / ISIN: DE 000 7 164 600\nDividendenbekanntmachung\nDie ordentliche Hauptversammlung unserer Gesellschaft vom 5. Mai 2026 hat u. a. beschlossen,\nden Bilanzgew...",
"documentExcerpt": "SAP SE Walldorf Wertpapier-Kenn-Nr. 716 460 / ISIN: DE 000 7 164 600 Dividendenbekanntmachung Die ordentliche Hauptversammlung unserer Gesellschaft vom 5. Mai 2026 hat u. a. beschlossen, den Bilanzgew...",
"contentGated": false,
"contentKind": "text",
"documentUrl": "https://www.bundesanzeiger.de/pub/de/start?fulltext=SAP%20SE",
"portalUrl": "https://www.bundesanzeiger.de/pub/de/start?fulltext=SAP%20SE",
"query": "SAP SE"
}

Incremental fields

When incremental mode is on, each record also carries:

  • changeType — one of NEW, UPDATED, REAPPEARED.
  • isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape bundesanzeiger.de

  1. Go to Bundesanzeiger Germany Scraper in Apify Console.
  2. Enter a search keyword.
  3. Set maxResults to control how many results you need.
  4. Keep includeDetails on (the default) for the extra detail-page fields, or turn it off for faster, cheaper runs.
  5. Click Start and wait for the run to finish.
  6. Export the dataset as JSON, CSV, or Excel.

Use cases

  • Extract company data from bundesanzeiger.de for market research and competitive analysis.
  • Monitor new and changed companies on scheduled runs without processing the full dataset every time.
  • Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
  • Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape bundesanzeiger.de?

Pricing for Bundesanzeiger Germany Scraper has not been finalized yet. It will be published here before the actor becomes publicly available.

You only use your normal Apify platform resources when you run the actor from your own account.

FAQ

How many results can I get from bundesanzeiger.de?

The number of results depends on the search query and available companies on bundesanzeiger.de. Use the maxResults parameter to control how many results are returned per run.

Does Bundesanzeiger Germany Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed companies on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Bundesanzeiger Germany Scraper with other apps?

Yes. Bundesanzeiger Germany Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Bundesanzeiger Germany Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Bundesanzeiger Germany Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

This actor extracts publicly available data from bundesanzeiger.de. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

  1. Sign up — $5 platform credit included
  2. Open this actor and configure your input
  3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on bundesanzeiger.de. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Bundesanzeiger Germany's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Bundesanzeiger Germany or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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