# Gelbeseiten Product Info Scraper (`getdataforme/gelbeseiten-productinfo-scraper`) Actor
The Gelbeseiten Product Info Scraper efficiently extracts detailed business data from Gelbeseiten, including names, ratings, and contact info....
- **URL**: https://apify.com/getdataforme/gelbeseiten-productinfo-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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 Product Info Scraper
The Gelbeseiten Product Info Scraper is a powerful tool designed to extract detailed business information from the Gelbeseiten website. This Actor efficiently gathers data such as business names, ratings, addresses, phone numbers, and more, providing valuable insights for market research, competitive analysis, and business intelligence.
### Features
- **Comprehensive Data Extraction**: Captures detailed business information including name, address, contact details, and more.
- **High Data Quality**: Ensures accurate and up-to-date information by scraping directly from Gelbeseiten.
- **Efficient Performance**: Optimized for fast data retrieval, minimizing wait times.
- **User-Friendly Interface**: Easy to set up and run with minimal configuration required.
- **Scalable**: Handles multiple URLs, allowing for extensive data collection.
- **Customizable Outputs**: Provides data in various formats such as JSON, CSV, and Excel.
- **Reliable Operation**: Built with robust error handling to ensure consistent performance.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|-------|----------|------------------------|-------------------------------------------------------------------------|
| startUrls | array | Yes | URLs to start with. | `["https://www.gelbeseiten.de/gsbiz/a4933ae1-2b90-44c3-b847-fe260c6a5646"]` |
### Example Usage
#### Example Input
```json
{
"startUrls": [
{
"url": "https://www.gelbeseiten.de/gsbiz/a4933ae1-2b90-44c3-b847-fe260c6a5646"
}
]
}
````
#### Example Output
```json
[
{
"name": "Gasthof Gundel",
"rating": 5,
"reviewCount": 1,
"address": {
"street": "Nördlinger Str. 14,",
"postalCode": "91126",
"city": "Barthelmesaurach"
},
"phone": "09178 15 03",
"website": "https://www.gasthaus-gundel.de/",
"description": "Griechische Spezialitäten kombiniert mit klassischer deutscher Küche...",
"openingHours": [
"Montag: Ruhetag",
"Dienstag: 11:00 – 14:00, 17:00 – 22:00",
"Mittwoch: 11:00 – 14:00, 17:00 – 22:00",
"Donnerstag: 11:00 – 14:00, 17:00 – 22:00",
"Freitag: 11:00 – 14:00, 17:00 – 22:00",
"Samstag: 11:00 – 14:00, 17:00 – 22:00",
"Sonntag: 11:00 – 14:00, 17:00 – 22:00"
],
"url": "https://www.gelbeseiten.de/gsbiz/a4933ae1-2b90-44c3-b847-fe260c6a5646",
"scraped_At": "2026-04-20T10:40:45.491Z"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather comprehensive business data for market insights.
- **Competitive Intelligence**: Monitor competitors' business listings and updates.
- **Price Monitoring**: Track pricing information for competitive analysis.
- **Content Aggregation**: Collect business information for content creation and aggregation.
- **Academic Research**: Use data for research projects and studies.
- **Business Automation**: Automate the collection of business data for CRM systems.
### Installation and Usage
1. Search for "Gelbeseiten Product Info Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).
### Output Format
The output is a JSON array where each object contains:
- **name**: Business name
- **rating**: Customer rating
- **reviewCount**: Number of reviews
- **address**: Structured address information
- **phone**: Contact number
- **website**: Business website URL
- **description**: Business description
- **openingHours**: Array of opening hours
- **url**: Source URL
- **scraped\_At**: Timestamp of data extraction
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://www.gelbeseiten.de/gsbiz/a4933ae1-2b90-44c3-b847-fe260c6a5646"
}
]
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://www.gelbeseiten.de/gsbiz/a4933ae1-2b90-44c3-b847-fe260c6a5646"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/gelbeseiten-productinfo-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.gelbeseiten.de/gsbiz/a4933ae1-2b90-44c3-b847-fe260c6a5646" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/gelbeseiten-productinfo-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrls": [
{
"url": "https://www.gelbeseiten.de/gsbiz/a4933ae1-2b90-44c3-b847-fe260c6a5646"
}
]
}' |
apify call getdataforme/gelbeseiten-productinfo-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/gelbeseiten-productinfo-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Gelbeseiten Product Info Scraper",
"description": "The Gelbeseiten Product Info Scraper efficiently extracts detailed business data from Gelbeseiten, including names, ratings, and contact info....",
"version": "0.0",
"x-build-id": "L5M0k5sEd5ngjCjWv"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~gelbeseiten-productinfo-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-gelbeseiten-productinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~gelbeseiten-productinfo-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-gelbeseiten-productinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~gelbeseiten-productinfo-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-gelbeseiten-productinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```