# GelbeSeiten Lead Extractor (`kawsar/gelbeseiten-lead-extractor`) Actor

GelbeSeiten Lead Extractor pulls business contacts from Germany's online business directory, so sales teams and marketers can build prospect lists for any city and industry without manual searching.

- **URL**: https://apify.com/kawsar/gelbeseiten-lead-extractor.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## GelbeSeiten Lead Extractor

Extract business leads from [GelbeSeiten](https://www.gelbeseiten.de), Germany's largest online business directory. Search by keyword and city to collect names, phone numbers, addresses, websites, ratings, reviews, and opening hours, all in a clean structured dataset ready for CRM import, outreach, or market research.

Supports multiple keywords and multiple cities in a single run. The result limit applies per keyword and city pair, so you can scrape dozens of combinations at once.

***

### What data you get

Each business listing returns the following fields:

| Field | Description |
|---|---|
| `name` | Business name |
| `category` | Industry category (e.g. Cafe-Restaurants, Arztpraxen, Rechtsanwaelte) |
| `street` | Street name and number |
| `postalCode` | German 5-digit postal code |
| `city` | City name |
| `address` | Full formatted address |
| `phone` | Primary phone number |
| `website` | Business website URL |
| `rating` | Average star rating out of 5.0 |
| `reviewCount` | Total number of customer reviews |
| `businessDescription` | Short description or tagline from the listing |
| `openingHours` | Current open/closed status and closing time |
| `profileUrl` | Direct link to the GelbeSeiten business profile |
| `sourceUrl` | Search results page the listing was found on |
| `keyword` | Search keyword used |
| `searchLocation` | Location searched |

***

### How to use

#### Basic input

```json
{
  "keywords": ["cafe"],
  "locations": ["berlin"],
  "maxItems": 50
}
```

#### Multi-city, multi-keyword run

```json
{
  "keywords": ["arzt", "zahnarzt"],
  "locations": ["berlin", "münchen", "hamburg"],
  "maxItems": 100
}
```

This runs 6 searches (2 keywords × 3 cities) and returns up to 600 results total.

***

### Input parameters

| Parameter | Required | Default | Description |
|---|---|---|---|
| `keywords` | Yes | — | One or more German search terms. Each keyword is searched in every location. |
| `locations` | Yes | — | One or more German cities or regions. Each location is paired with every keyword. |
| `maxItems` | No | `50` | Maximum listings per keyword and location pair. Pagination runs automatically until this limit is reached. |
| `requestTimeoutSecs` | No | `30` | Seconds to wait for each page request before timing out. |

#### How maxItems works

The limit is **per search pair**, not across the entire run.

| Keywords | Locations | maxItems | Max total results |
|---|---|---|---|
| 1 | 1 | 100 | 100 |
| 2 | 3 | 50 | 300 |
| 5 | 10 | 200 | 10,000 |

***

### Sample output

```json
{
  "name": "FreudenGrün",
  "category": "Cafés",
  "street": "Chausseestr. 9",
  "postalCode": "10115",
  "city": "Berlin",
  "address": "Chausseestr. 9, 10115 Berlin",
  "phone": "030 25 76 25 96",
  "website": "https://freudengrun.de/",
  "rating": 5.0,
  "reviewCount": 1,
  "businessDescription": null,
  "openingHours": "Geöffnet – Schließt um 18:00",
  "profileUrl": "https://www.gelbeseiten.de/gsbiz/45c22f1a-3b99-4c04-9f0e-534ca0cd64d8",
  "sourceUrl": "https://www.gelbeseiten.de/suche/cafe/berlin",
  "keyword": "cafe",
  "searchLocation": "berlin"
}
```

***

### Use cases

- **Sales prospecting** — build targeted contact lists for any German city and industry
- **Email outreach** — collect phone numbers and websites for direct marketing campaigns
- **Competitor research** — find all businesses in a category across multiple cities
- **Market analysis** — compare business density, ratings, and coverage by region
- **Local SEO audits** — gather category, address, and rating data for analysis
- **CRM enrichment** — bulk-import German business contacts into your CRM

***

### Common search keywords

GelbeSeiten is a German directory so keywords should be in German.

| English | German keyword |
|---|---|
| Doctor | `arzt` |
| Dentist | `zahnarzt` |
| Lawyer | `rechtsanwalt` |
| Notary | `notar` |
| Tax advisor | `steuerberater` |
| Architect | `architekt` |
| Restaurant | `restaurant` |
| Cafe | `cafe` |
| Hotel | `hotel` |
| Bakery | `baeckerei` |
| Supermarket | `supermarkt` |
| Pharmacy | `apotheke` |
| Gym | `fitnessstudio` |
| Hairdresser | `friseur` |
| Electrician | `elektriker` |
| Plumber | `klempner` |
| Painter | `maler` |
| Car dealer | `autohaendler` |
| Insurance | `versicherung` |
| Real estate | `immobilien` |
| Bank | `bank` |
| Cleaning service | `reinigungsservice` |
| Driving school | `fahrschule` |
| Kindergarten | `kindergarten` |
| Physiotherapy | `physiotherapie` |

***

### Common locations

Any German city, district, postal code, or region is accepted.

**Major cities:** `berlin`, `münchen`, `hamburg`, `frankfurt`, `köln`, `stuttgart`, `düsseldorf`, `dortmund`, `essen`, `leipzig`, `bremen`, `dresden`, `hannover`, `nürnberg`, `duisburg`, `bochum`, `wuppertal`, `bielefeld`, `bonn`, `münster`, `mannheim`, `karlsruhe`, `augsburg`, `wiesbaden`, `gelsenkirchen`, `mönchengladbach`, `braunschweig`, `kiel`, `chemnitz`, `aachen`

**By state:** `bayern`, `nordrhein-westfalen`, `baden-württemberg`, `niedersachsen`, `hessen`, `sachsen`, `berlin`, `rheinland-pfalz`, `schleswig-holstein`, `thüringen`

***

### Output formats

Results are stored in the Apify dataset and can be exported as:

- **JSON** — for API integrations and pipelines
- **CSV** — for Excel and Google Sheets
- **Excel (XLSX)** — ready-to-open spreadsheet
- **XML** — for legacy system imports
- **RSS** — for feed-based workflows

Use the **Export** button in the Apify console or download via the [Apify API](https://docs.apify.com/api/v2#/reference/datasets/item-collection/get-items).

***

### Tips and notes

- GelbeSeiten returns up to 50 listings per page. Pagination is automatic.
- Fields with no data on the listing page return `null`.
- Ratings are shown in German format (comma decimal) and are automatically converted to standard decimal numbers.
- For bulk city coverage, list all cities in `locations` instead of running the actor separately per city.
- Keywords are case-insensitive. `Arzt` and `arzt` return the same results.
- If a city has fewer results than `maxItems`, the actor stops when results run out and moves to the next pair.

***

# Actor input Schema

## `keywords` (type: `array`):

One or more search terms, e.g. cafe, arzt, restaurant, rechtsanwalt. Each keyword is run against every location.

## `locations` (type: `array`):

One or more German cities or regions, e.g. berlin, münchen, hamburg. Each location is paired with every keyword.

## `maxItems` (type: `integer`):

Maximum listings to collect per keyword + location combination. With 2 keywords and 3 locations, up to 6 × maxItems results are returned.

## `requestTimeoutSecs` (type: `integer`):

Seconds to wait for each page before timing out

## Actor input object example

```json
{
  "keywords": [
    "restaurant",
    "cafe",
    "arzt"
  ],
  "locations": [
    "berlin",
    "münchen",
    "hamburg"
  ],
  "maxItems": 50,
  "requestTimeoutSecs": 30
}
```

# 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 = {
    "keywords": [
        "cafe"
    ],
    "locations": [
        "berlin"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/gelbeseiten-lead-extractor").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 = {
    "keywords": ["cafe"],
    "locations": ["berlin"],
}

# Run the Actor and wait for it to finish
run = client.actor("kawsar/gelbeseiten-lead-extractor").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 '{
  "keywords": [
    "cafe"
  ],
  "locations": [
    "berlin"
  ]
}' |
apify call kawsar/gelbeseiten-lead-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/gelbeseiten-lead-extractor"
        }
    }
}

```

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/5kYcj7xitLfiLPOSt/builds/WXrGpcGPcMTyZccdg/openapi.json