# Bundesanzeiger Germany Scraper (`blackfalcondata/bundesanzeiger-de-scraper`) Actor

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.

- **URL**: https://apify.com/blackfalcondata/bundesanzeiger-de-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Business, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.35 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What does Bundesanzeiger Germany Scraper do?

Bundesanzeiger Germany Scraper extracts structured company publication data from [bundesanzeiger.de](https://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 →](https://console.apify.com/sign-up?fpr=1h3gvi)** 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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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

```json
{
  "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](https://apify.com/blackfalcondata/bundesanzeiger-de-scraper?fpr=1h3gvi) 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](https://apify.com/integrations?fpr=1h3gvi) 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](https://docs.apify.com/api/v2). 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](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) 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.

#### Is it legal to scrape bundesanzeiger.de?

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](https://apify.com/blackfalcondata/bundesanzeiger-de-scraper/issues?fpr=1h3gvi) 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](https://console.apify.com/sign-up?fpr=1h3gvi) — 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](https://apify.com/pricing?fpr=1h3gvi).

### 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.

### Search keywords

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# Changelog

This Actor's version history is a separate document: https://apify.com/blackfalcondata/bundesanzeiger-de-scraper/changelog.md

# Actor input Schema

## `query` (type: `string`):

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` (type: `string`):

Restrict the search to one area of the Bundesanzeiger. Leave empty for all areas.

## `maxResults` (type: `integer`):

Maximum total results (0 = unlimited).

## `startUrls` (type: `array`):

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).

## `includeDetails` (type: `boolean`):

Fetch full listing details.

## `extractFinancials` (type: `boolean`):

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.

## `descriptionMaxLength` (type: `integer`):

Truncate description to N chars. 0 = no truncation.

## `compact` (type: `boolean`):

Core fields only (for AI-agent/MCP workflows).

## `descriptionFormat` (type: `string`):

Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.

## `excludeEmptyFields` (type: `boolean`):

Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.

## `incrementalMode` (type: `boolean`):

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.

## `stateKey` (type: `string`):

Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.

## `skipReposts` (type: `boolean`):

When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection).

## `notifyOnlyChanges` (type: `boolean`):

When Incremental Mode is on, only send notifications for NEW and UPDATED listings. Has no effect outside incremental mode.

## `notificationLimit` (type: `integer`):

Maximum number of listings included in each notification message (1–20).

## `telegramToken` (type: `string`):

Telegram bot token (from @BotFather). Required for Telegram notifications.

## `telegramChatId` (type: `string`):

Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set.

## `discordWebhookUrl` (type: `string`):

Discord incoming webhook URL. Server Settings → Integrations → Webhooks → New Webhook.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL. api.slack.com/messaging/webhooks.

## `whatsappPhoneNumberId` (type: `string`):

Your WhatsApp Business phone-number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set.

## `whatsappAccessToken` (type: `string`):

WhatsApp Cloud API permanent access token (System User token from Meta Business). Recipient must have messaged the business number within the last 24h (service-conversation window — free since Nov 2024).

## `whatsappTo` (type: `string`):

Recipient phone in E.164 format without + (e.g. "436641234567"). Recipient must have messaged your business number within last 24h.

## `webhookUrl` (type: `string`):

Receives a JSON POST with {metadata, items} after each run. Universal escape hatch for n8n / Make / Zapier / custom backends.

## `webhookHeaders` (type: `object`):

Optional JSON object of custom headers (e.g. {"Authorization":"Bearer ..."}).

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your results (including any contact details). Best-effort across MCP connectors as Apify expands its catalog.

## `mcpIssueTeam` (type: `string`):

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

## Actor input object example

```json
{
  "query": "SAP SE",
  "maxResults": 100,
  "startUrls": [],
  "includeDetails": true,
  "extractFinancials": false,
  "descriptionMaxLength": 0,
  "compact": false,
  "descriptionFormat": "all",
  "excludeEmptyFields": false,
  "incrementalMode": false,
  "skipReposts": false,
  "notifyOnlyChanges": false,
  "notificationLimit": 5
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "SAP SE",
    "maxResults": 100,
    "descriptionFormat": "all",
    "excludeEmptyFields": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/bundesanzeiger-de-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "SAP SE",
    "maxResults": 100,
    "descriptionFormat": "all",
    "excludeEmptyFields": False,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/bundesanzeiger-de-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "SAP SE",
  "maxResults": 100,
  "descriptionFormat": "all",
  "excludeEmptyFields": false
}' |
apify call blackfalcondata/bundesanzeiger-de-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,blackfalcondata/bundesanzeiger-de-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jiDw660Jp0LoCFrn9/builds/dCYRSXQL3dBeFC0wL/openapi.json