# πŸ”₯XING Germany Jobs β€” Real-Time Search πŸ‡©πŸ‡ͺ (`hermann_samimi/apify-xing`) Actor Search thousands of live XING job listings in Germany. Filter by title, location, company, language, remote, contract type, and date. Instant structured results. - **URL**: https://apify.com/hermann\_samimi/apify-xing.md - **Developed by:** [Hermann Samimi](https://apify.com/hermann_samimi) (community) - **Categories:** Jobs, Automation, Agents - **Stats:** 10 total users, 1 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 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 ## Pingrole Xing Job Search Search a continuously updated database of **Xing job listings** in Germany. Filter by title, location, company, language, remote and contract type, and posting date. Each match returns structured job fields ready to export or pipe into your stack. **Coverage:** Germany (Xing) --- ### Quick start (Apify Console) 1. Open this Actor in the [Apify Console](https://console.apify.com). 2. Go to the **Input** tab. 3. Fill in the four required fields: **Job Title**, **Location**, **Country**, and **Limit**. 4. Optionally set company, language, booleans, date range, skip, and sort. 5. Click **Start**. 6. When the run finishes, open the **Dataset** tab to browse results or download as JSON, CSV, Excel, or XML. The four required fields (**Job Title**, **Location**, **Country**, **Limit**) open with default values you can edit before running. Optional fields like **Skip** and **Sort** use their own defaults. --- ### Input fields | Field | Required | Description | |-------|----------|-------------| | **Job Title** (`title`) | Yes | Default: `Leitung`. Partial, case-insensitive match. Comma-separated values are OR'd. | | **Location** (`location`) | Yes | Default: `berlin`. Partial, case-insensitive match. Comma-separated OR supported. | | **Country** (`country`) | Yes | Default: `germany`. Currently supported: `germany`. | | **Company** (`company`) | No | Partial match on company name. Comma-separated OR supported. | | **Language** (`language`) | No | Exact match: `en`, `fr`, or `de`. | | **Remote** | No | Checked = remote jobs only. Unchecked with explicit `false` in API = exclude remote. Leave empty to ignore. | | **Part Time** | No | Part-time roles only (same true / false / ignore behavior). | | **Freelancer** | No | Freelance roles only. | | **Academic** | No | Academic roles only. | | **Research** | No | Research roles only. | | **B2B** | No | B2B contract roles only. | | **Date From** (`datetime_from`) | No | Jobs scraped on or after this time. Formats: `2026-01-01` or `2026-01-01@11:00` (use `@` instead of `T` for time). | | **Date To** (`datetime_to`) | No | Jobs scraped on or before this time. Same format as Date From. | | **Limit** | Yes | Default: `10`. Number of jobs to return per run (**1–100**). | | **Skip** | No | Offset for pagination (default **0**). | | **Sort Field** | No | `datetime_from` (newest/oldest by scrape time, default), `title`, `company`, `language`, or `country`. | | **Sort Direction** | No | **-1** = descending (newest first when sorting by date). **1** = ascending. | **Boolean filters:** In the Console, check a box to require that flag. In the API, use `true` to include only matching jobs, `false` to exclude them, or omit the field to ignore it. --- ### Example inputs **Leadership roles in Berlin** ```json { "title": "Leitung", "location": "Berlin", "country": "germany", "limit": 20 } ```` **Remote data roles in Germany (German listings)** ```json { "title": "data", "location": "Berlin", "country": "germany", "Remote": true, "language": "de", "limit": 50 } ``` **Product roles at a specific company, posted in May 2026 (page 2)** ```json { "title": "product manager", "location": "Munich", "country": "germany", "company": "SAP", "datetime_from": "2026-05-01", "datetime_to": "2026-05-31", "limit": 10, "skip": 10, "sort_field": "datetime_from", "sort_direction": -1 } ``` **Multiple title keywords (OR)** ```json { "title": "backend, full stack, fullstack", "location": "Hamburg", "country": "germany", "limit": 25 } ``` *** ### Output Each run writes **one dataset record per job** to your run's default dataset. Fields are omitted or `null` when not available on the listing. | Field | Description | |-------|-------------| | `title` | Job title | | `company` | Company name | | `location` | Location string | | `country` | Country | | `language` | Listing language (`en`, `fr`, `de`, …) | | `job_type` | e.g. `fulltime`, `parttime` | | `job_level` | Seniority, e.g. `mid-senior` | | `job_url` | Xing job posting URL | | `description` | Full job description text | | `timestamp` | When the listing was scraped (UTC) | | `site` | Source site (always `xing` for this Actor) | | `job_id` | Stable job identifier | | `Remote`, `PartTime`, `Freelancer`, `Academic`, `Research`, `B2B` | Job-type flags | | `salary` | Salary range when present (e.g. `€48,500 – €68,000`) | | `currency` | Salary currency code when available | | `company_logo` | Logo image URL | | `company_url` | Xing company page | | `company_url_direct` | Company website | | `company_addresses` | Company address data when available | | `company_industry` | Industry | | `company_num_employees` | Employee count range | | `company_revenue` | Revenue band when available | | `company_description` | Company description | | `company_rating` | Company rating when available | The run also saves the same job array to the key-value store under **`OUTPUT`** (useful for API consumers that read KV store instead of the dataset). #### Example record ```json { "title": "E-Mail Marketing Manager (m/w/d)", "company": "STAHLWILLE Eduard Wille GmbH & Co. KG", "location": "Wuppertal", "country": "germany", "language": "en", "job_type": null, "job_level": null, "job_url": "https://www.xing.com/jobs/wuppertal-email-marketing-manager-123456", "description": null, "timestamp": "2026-05-15 13:14:00.317000", "site": "xing", "salary": "€48,500 – €68,000", "currency": null, "company_logo": "https://i.ibb.co/4hC66vz/Xing-Emblem.png", "company_url": null, "company_url_direct": null, "company_addresses": null, "company_industry": null, "company_num_employees": null, "company_revenue": null, "company_description": null, "company_rating": null, "Remote": false, "PartTime": false, "Freelancer": false, "Academic": false, "Research": false, "B2B": false, "job_id": "66e9ed08c53aa528e654da72ddfbbaf3" } ``` *** ### Pagination Use **Limit** and **Skip** together to page through results: | Page | `limit` | `skip` | |------|---------|--------| | 1 | 10 | 0 | | 2 | 10 | 10 | | 3 | 10 | 20 | Each page returns at most `limit` jobs (max **100** per run). If a page returns fewer records than `limit`, you have reached the end of the matching set for that query. Run again with a higher `skip` to fetch the next page. *** ### Run from your code (Apify API) Replace `YOUR_ACTOR_ID` with this Actor's ID or username/name slug from the Apify Store. **Node.js** ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); const run = await client.actor('YOUR_ACTOR_ID').call({ title: 'software engineer', location: 'Berlin', country: 'germany', limit: 20, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` **Python** ```python import requests import time import json API_TOKEN = "YOUR_APIFY_TOKEN" ACTOR_ID = "YOUR_ACTOR_ID" payload = { "title": "software engineer", "location": "Berlin", "country": "germany", "limit": 20, "sort_field": "datetime_from", "sort_direction": -1, } ## Start actor start_url = f"https://api.apify.com/v2/acts/{ACTOR_ID}/runs?token={API_TOKEN}" response = requests.post(start_url, json=payload) run_data = response.json()["data"] run_id = run_data["id"] print("Run started:", run_id) ## Wait until finished while True: status_url = f"https://api.apify.com/v2/actor-runs/{run_id}?token={API_TOKEN}" status_data = requests.get(status_url).json()["data"] status = status_data["status"] print("Status:", status) if status == "SUCCEEDED": dataset_id = status_data["defaultDatasetId"] break elif status in ["FAILED", "ABORTED", "TIMED-OUT"]: print("Run failed") exit() time.sleep(3) ## Fetch results dataset_url = f"https://api.apify.com/v2/datasets/{dataset_id}/items?token={API_TOKEN}" results = requests.get(dataset_url).json() print(json.dumps(results, indent=4)) ``` **cURL (start a run)** ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"title":"software engineer","location":"Berlin","country":"germany","limit":20}' ``` Fetch dataset items from the run's `defaultDatasetId` in the API response, or download exports from the Console. *** ### Scheduling and integrations In the Apify Console you can **schedule** this Actor (e.g. daily) so fresh jobs land in a dataset automatically. Connect the dataset to **Google Sheets**, **Slack**, **Zapier**, **Make**, **Airtable**, webhooks, or other [Apify integrations](https://docs.apify.com/platform/integrations) without writing custom export code. *** ### Tips - Start broad on **Job Title** and **Location**, then narrow with boolean flags and optional **Company**. - Use **Date From** / **Date To** to focus on recently scraped listings. - Sort by `datetime_from` with direction **-1** for the newest jobs first. - For large pulls, chain multiple runs with increasing `skip` (respect the 100-per-run cap). *** ### Support Built by **Hermann Samimi** Β· [Pingrole](https://realtime.pingrole.com) - **Live dashboard:** [realtime.pingrole.com](https://realtime.pingrole.com) - **Email:** - **Book a call:** [calendly.com/hermannsamimi/30min](https://calendly.com/hermannsamimi/30min) # Actor input Schema ## `title` (type: `string`): Partial match, e.g. Leitung ## `location` (type: `string`): Partial match, e.g. Berlin ## `country` (type: `string`): Filter by country ## `company` (type: `string`): Partial match, e.g. SAP ## `language` (type: `string`): Filter by listing language: en, fr, or de. Leave empty for all languages. ## `Remote` (type: `boolean`): Remote jobs only ## `PartTime` (type: `boolean`): Part-time roles only ## `Freelancer` (type: `boolean`): Freelance roles only ## `Academic` (type: `boolean`): Academic roles only ## `Research` (type: `boolean`): Research roles only ## `B2B` (type: `boolean`): B2B contract roles only ## `datetime_from` (type: `string`): ISO date e.g. 2026-01-01 or 2026-01-01@11:00 ## `datetime_to` (type: `string`): ISO date e.g. 2026-12-31 or 2026-12-31@17:45 ## `limit` (type: `integer`): Results to return (1–100) ## `skip` (type: `integer`): Pagination offset ## `sort_field` (type: `string`): Field to sort results by ## `sort_direction` (type: `integer`): -1 newest first (default) Β· 1 oldest first ## Actor input object example ```json { "title": "Leitung", "location": "berlin", "country": "germany", "language": "de", "limit": 10, "skip": 0, "sort_field": "datetime_from", "sort_direction": -1 } ``` # Actor output Schema ## `jobs` (type: `string`): Default dataset with one record per matching job. Use the overview view for the recommended table layout in Apify Console. ## `jobsArray` (type: `string`): Same results as the dataset, stored as a single JSON array in the default key-value store record OUTPUT. Useful for API clients that read one KV record instead of paginating dataset items. # 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 = { "title": "Leitung", "location": "berlin", "country": "germany", "language": "de", "limit": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("hermann_samimi/apify-xing").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "title": "Leitung", "location": "berlin", "country": "germany", "language": "de", "limit": 10, } # Run the Actor and wait for it to finish run = client.actor("hermann_samimi/apify-xing").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "title": "Leitung", "location": "berlin", "country": "germany", "language": "de", "limit": 10 }' | apify call hermann_samimi/apify-xing --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hermann_samimi/apify-xing", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "πŸ”₯XING Germany Jobs β€” Real-Time Search πŸ‡©πŸ‡ͺ", "description": "Search thousands of live XING job listings in Germany. Filter by title, location, company, language, remote, contract type, and date. Instant structured results.", "version": "0.0", "x-build-id": "MlEod9jHNxRPJLFiS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hermann_samimi~apify-xing/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hermann_samimi-apify-xing", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hermann_samimi~apify-xing/runs": { "post": { "operationId": "runs-sync-hermann_samimi-apify-xing", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hermann_samimi~apify-xing/run-sync": { "post": { "operationId": "run-sync-hermann_samimi-apify-xing", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "title", "location", "country", "limit" ], "properties": { "title": { "title": "Job Title", "minLength": 1, "type": "string", "description": "Partial match, e.g. Leitung", "default": "Leitung" }, "location": { "title": "Location", "minLength": 1, "type": "string", "description": "Partial match, e.g. Berlin", "default": "berlin" }, "country": { "title": "Country", "enum": [ "germany" ], "type": "string", "description": "Filter by country", "default": "germany" }, "company": { "title": "Company", "type": "string", "description": "Partial match, e.g. SAP" }, "language": { "title": "Language", "type": "string", "description": "Filter by listing language: en, fr, or de. Leave empty for all languages.", "default": "de" }, "Remote": { "title": "Remote", "type": "boolean", "description": "Remote jobs only" }, "PartTime": { "title": "Part Time", "type": "boolean", "description": "Part-time roles only" }, "Freelancer": { "title": "Freelancer", "type": "boolean", "description": "Freelance roles only" }, "Academic": { "title": "Academic", "type": "boolean", "description": "Academic roles only" }, "Research": { "title": "Research", "type": "boolean", "description": "Research roles only" }, "B2B": { "title": "B2B", "type": "boolean", "description": "B2B contract roles only" }, "datetime_from": { "title": "Date From", "type": "string", "description": "ISO date e.g. 2026-01-01 or 2026-01-01@11:00" }, "datetime_to": { "title": "Date To", "type": "string", "description": "ISO date e.g. 2026-12-31 or 2026-12-31@17:45" }, "limit": { "title": "Limit", "minimum": 1, "maximum": 100, "type": "integer", "description": "Results to return (1–100)", "default": 10 }, "skip": { "title": "Skip", "type": "integer", "description": "Pagination offset", "default": 0 }, "sort_field": { "title": "Sort Field", "enum": [ "datetime_from", "title", "company", "language", "country" ], "type": "string", "description": "Field to sort results by", "default": "datetime_from" }, "sort_direction": { "title": "Sort Direction", "type": "integer", "description": "-1 newest first (default) Β· 1 oldest first", "default": -1 } } }, "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 } } } } } } } } } } ```