# Indeed Germany Jobs Scraper — Full Descriptions & Salary (`totaka/indeed-germany-jobs-scraper`) Actor
Scrape job listings from Indeed Germany (de.indeed.com) — job title, company, location, salary, contract type, and full description. No API key required.
- **URL**: https://apify.com/totaka/indeed-germany-jobs-scraper.md
- **Developed by:** [Thomas Gharbi](https://apify.com/totaka) (community)
- **Categories:** Jobs, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## 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
## Indeed Germany Jobs Scraper
### What does Indeed Germany Jobs Scraper do?
Indeed Germany Jobs Scraper lets you scrape job listings from Indeed for any keyword and location — without the limitations of the official Indeed API.
For each listing you get the job title, company name, location, salary (when published), and the **full job description** — not just the 3-line snippet shown on the search page.
The scraper supports:
- **Keyword + location search** — format your queries as `keyword|location` (e.g. `Entwickler|Berlin`)
- **Multiple queries in one run** — batch 10 or 100 searches into a single job
- **Full job descriptions** — the complete text of each posting, not a truncated preview
- **Salary data** — included when Indeed displays a salary range for the listing
- **Real-time results** — data is pushed to your dataset as each listing is scraped, no need to wait for the run to finish
- **Export to CSV, JSON, or Excel** — directly from the Apify dataset view
### How much will it cost?
This scraper uses a **pay-per-result** pricing model: **$4.00 per 1,000 job listings** scraped ($0.004 per result).
With the **Apify Free plan** ($5 free credit every month), you can scrape approximately **1,250 job listings per month for free**.
### What does the output look like?
Each scraped job listing has the following structure:
```json
{
"title": "Senior Software Engineer",
"company": "Digital Agency Ltd",
"location": "London, Greater London",
"salary": "£55,000 – £75,000 per year",
"description": "We are looking for a talented engineer to join our fast-growing team...",
"url": "https://uk.indeed.com/viewjob?jk=abc123def456",
"searchQuery": "Entwickler|Berlin",
"scrapedAt": "2024-06-15T09:23:11.000Z"
}
````
You can download all results as **CSV**, **JSON**, or **Excel** directly from the dataset tab, or integrate via the [Apify API](https://docs.apify.com/api/v2).
### What can you use this data for?
- **HR analytics** — track hiring trends by role, industry, and region over time
- **Recruitment intelligence** — monitor what skills and roles competitors are actively hiring for
- **Salary benchmarking** — build a salary database by job title and location
- **Job alert automation** — scrape regularly and trigger email alerts for specific keywords
- **Market research** — analyze which companies are growing by tracking their hiring volume
### How to use Indeed Germany Jobs Scraper
1. Click **Try for free** to open the scraper input
2. Add your search queries in `keyword|location` format — one per line (e.g. `Entwickler|Berlin`)
3. Set **Max results per query** — default is 20, maximum is 100
4. Click **Run** — results appear in your dataset within seconds
5. Export to CSV, JSON, or Excel from the dataset tab when the run completes
### Limitations and things to keep in mind
Indeed regularly updates its page structure, which can temporarily affect scraping reliability. We monitor the scraper and push updates to keep it working.
**Salary data**: Indeed only shows salary information when the employer provides it. A large proportion of listings — often 50–70% — do not include a salary range. These will return `null` in the salary field.
**Location format**: For best results, use the `keyword|location` format (e.g. `développeur|Paris`, `nurse|London`). Queries without a location pipe will search nationwide.
### Support and feedback
If you encounter a bug or want to request a feature, please open an issue on the **Issues tab** in the Apify console. We read every issue and maintain this scraper actively.
# Actor input Schema
## `searchQueries` (type: `array`):
Enter one query per line in the format keyword|location (e.g. developer|London, nurse|Manchester). The location part is optional.
## `maxResultsPerQuery` (type: `integer`):
Maximum number of results to scrape per search query.
Default: 20 | Max: 100
⚠️ Higher values mean longer runs and higher costs.
## `proxyConfiguration` (type: `object`):
Residential proxies are recommended for reliable scraping.
## Actor input object example
```json
{
"searchQueries": [
"Entwickler|Berlin"
],
"maxResultsPerQuery": 3,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `results` (type: `string`):
Scraped data items stored in the default dataset
# 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 = {
"searchQueries": [
"Entwickler|Berlin"
],
"maxResultsPerQuery": 3
};
// Run the Actor and wait for it to finish
const run = await client.actor("totaka/indeed-germany-jobs-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 = {
"searchQueries": ["Entwickler|Berlin"],
"maxResultsPerQuery": 3,
}
# Run the Actor and wait for it to finish
run = client.actor("totaka/indeed-germany-jobs-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 '{
"searchQueries": [
"Entwickler|Berlin"
],
"maxResultsPerQuery": 3
}' |
apify call totaka/indeed-germany-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=totaka/indeed-germany-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Indeed Germany Jobs Scraper — Full Descriptions & Salary",
"description": "Scrape job listings from Indeed Germany (de.indeed.com) — job title, company, location, salary, contract type, and full description. No API key required.",
"version": "1.0",
"x-build-id": "UpwOXZHC0JO8D0e5K"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/totaka~indeed-germany-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-totaka-indeed-germany-jobs-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/totaka~indeed-germany-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-totaka-indeed-germany-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/totaka~indeed-germany-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-totaka-indeed-germany-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"searchQueries"
],
"properties": {
"searchQueries": {
"title": "🔍 Search queries",
"minItems": 1,
"type": "array",
"description": "Enter one query per line in the format keyword|location (e.g. developer|London, nurse|Manchester). The location part is optional.",
"items": {
"type": "string"
}
},
"maxResultsPerQuery": {
"title": "📊 Max results per query",
"minimum": 1,
"maximum": 100,
"type": "integer",
"description": "Maximum number of results to scrape per search query.
Default: 20 | Max: 100
⚠️ Higher values mean longer runs and higher costs.",
"default": 20
},
"proxyConfiguration": {
"title": "🌐 Proxy configuration",
"type": "object",
"description": "Residential proxies are recommended for reliable scraping.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```