# Meinestadt Jobs Search Scraper (`stealth_mode/meinestadt-jobs-search-scraper`) Actor Scrape structured job listings from meinestadt.de — Germany's leading local job portal. Collect titles, salaries, company info, work cities, ad types, and 45+ fields per listing. Perfect for recruiters, HR analysts, and job aggregator developers. - **URL**: https://apify.com/stealth\_mode/meinestadt-jobs-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Jobs - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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/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 ## Meinestadt.de Jobs Scraper: Extract German Local Job Listings at Scale --- ### What Is Meinestadt.de? Meinestadt.de ("my city") is one of Germany's most popular regional job portals, aggregating thousands of listings across cities, industries, and contract types. Its search interface supports radius-based filtering, job category selection, and minijob toggles — making it a rich source for hyper-local German labor market data. Manually collecting this data is impractical at scale. The **Meinestadt.de Jobs Scraper** automates extraction from search result pages, delivering clean, structured records ready for analysis or integration. --- ### Overview This scraper targets Meinestadt.de job **search result pages**, collecting all visible listings per page and paginating as needed up to your configured item limit. It is suited for: - **Recruiters** monitoring regional hiring activity across German cities - **HR analysts** benchmarking job types, work times, and salary labels by region - **Developers** feeding German job data into aggregator platforms or BI pipelines - **Researchers** studying local labor demand patterns in Germany --- ### Input Format ```json { "urls": [ "https://jobs.meinestadt.de/augsburg/jk/0-96129?page=2#order=search(stelle%2Cfalse)&jobsSearch=%7B%22radius%22%3A30%2C%22d%22%3Anull%2C%22minijob%22%3Afalse%2C%22filters%22%3A%5B%5D%7D" ], "ignore_url_failures": true, "max_items_per_url": 50 } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | One or more Meinestadt.de job search result page URLs. Supports bulk input. Each URL should be a fully formed search URL including filters and pagination parameters. | | `ignore_url_failures` | `boolean` | If `true`, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk jobs. Default: `true`. | | `max_items_per_url` | `integer` | Maximum number of job records to collect per URL. Default: `20`. Increase to `50`+ for larger searches. | > **Tip:** You can encode different search filters (radius, city, category) directly in the URL via Meinestadt.de's search interface, then paste the resulting URL into `urls`. Each unique search = one URL entry. *** ### Output Format **Sample output** ```json { "job_id": 100011939584005, "advertiser_id": 303426, "title": "Spezialist:in im Bereich Netzwerktechnik und Rechenzentrum im Außendienst (m/w/d)", "ad_type": "premium", "type": "stelle", "logo_url": "https://image-resize.meinestadt.de/image-resize/v2/resize?default=https://img.meinestadt.de/mailtemplates/images/fallback/jobs_80x80.jpg&w=80&h=80&sign=20bda6a72c7d9d9ff1a959aacad346b9b5751136a0abfc30fd8354a4de80b6c0&url=https%3A%2F%2Fimg.meinestadt.de%2Fimages%2Fs3%2Ffe37058137.png", "partner_logo_url": null, "logo_url_hq": "https://image-resize.meinestadt.de/image-resize/v2/resize?default=https://img.meinestadt.de/mailtemplates/images/fallback/jobs_80x80.jpg&w=160&h=160&sign=20bda6a72c7d9d9ff1a959aacad346b9b5751136a0abfc30fd8354a4de80b6c0&url=https%3A%2F%2Fimg.meinestadt.de%2Fimages%2Fs3%2Ffe37058137.png", "highlight_label": "Empfehlung", "company_name": "Schrack Technik Deutschland GmbH", "description_text": null, "description_text_full": null, "label_text": "15.05.2026", "label_color": "grey", "salary_label": "47.800 € - 66.600 €/Jahr (geschätzt)", "job_scan_label_text": null, "job_scan_label_color": null, "work_city": "Augsburg", "nearest_address_url_name": "augsburg", "distance": null, "other_work_cities_stripped": null, "mslayer_element_start_date": "15.05.2026", "detail_url": "https://jobs.meinestadt.de/augsburg/premium?id=100011939584005", "source": "JI", "work_time": "Vollzeit", "supports_https": true, "mlm_group": { "id": 72042871, "items": [ { "type": "JOB", "id": 100011939584005, "paid": true, "job_type": "stelle" } ], "affiliate": 173, "component": "category" }, "d": null, "search_extension_type": "core", "divider": null, "position": 1, "seo_tags": [ { "id": 1, "type": "SKILL", "tag": "MS Office", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 82, "type": "SKILL", "tag": "Netzwerktechnik", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 437678, "type": "SOCIAL_SKILL", "tag": "Verantwortungsvolle Arbeitsweise", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 1113, "type": "SKILL", "tag": "Technik", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 437676, "type": "SOCIAL_SKILL", "tag": "Teamfähigkeit", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 437677, "type": "SOCIAL_SKILL", "tag": "Kommunikationsfähigkeit", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 43, "type": "SKILL", "tag": "EDV-Kenntnisse", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 1019, "type": "SKILL", "tag": "Provision", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 303, "type": "SKILL", "tag": "Energietechnik", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } }, { "id": 95, "type": "SKILL", "tag": "Planung", "icon_name": null, "redirect_id": null, "debug": { "solr_queries": [] } } ], "job_scan_score": null, "type_of_cost": null, "tracking_cost_type": "not_set", "default_application_type": "Formular des Kunden", "on_watchlist": false, "profession_ids": [ 134720, 2921, 5564 ], "city_url_names": [ "augsburg" ], "job_offer_type": "Festanstellung", "premium_work_time": null, "working_plan": null, "staffing": null, "industries": [ "Elektronik & Feinmechanik" ], "category_trackings": [ "Technische Berufe|Elektrotechniker|Elektroniktechniker|Techn. Assistent/in - Elektronik und Datentechnik", "Handwerk & Produktion|Elektriker & Elektroniker|Informationselektroniker|Informationselektroniker/in", "Handwerk & Produktion|Elektriker & Elektroniker|Informationselektroniker|IT-System-Elektroniker/in" ], "native_ad": true, "small_text": false, "debug_job_scan": null, "link_out_detail": false, "from_url": "https://jobs.meinestadt.de/augsburg/jk/0-96129#order=search(stelle%2Cfalse)" } ``` Each scraped job listing returns up to 49 fields: #### Identification & Ad Metadata | Field | Meaning | |---|---| | `Job ID` | Unique identifier for the job listing | | `Advertiser ID` | Internal ID of the advertising company | | `Ad Type` | Type of advertisement (e.g., standard, premium, native) | | `Type` | Listing classification within Meinestadt's taxonomy | | `Type Of Cost` | Cost model for the ad (e.g., CPC, flat fee) | | `Tracking Cost Type` | Cost type used for internal analytics tracking | | `Native Ad` | Flag indicating if the listing is a native advertisement | | `Source` | Origin source of the listing data | | `Position` | Display position of the listing on the results page | | `Divider` | Whether a visual divider is shown after this listing | #### Job Content | Field | Meaning | |---|---| | `Title` | Job title as displayed in search results | | `Description Text` | Short preview description shown in the listing card | | `Description Text Full` | Complete job description text | | `Small Text` | Additional short-form text (e.g., tagline or subtitle) | | `Label Text` | Badge label shown on the listing (e.g., "New", "Top Job") | | `Label Color` | Hex or class color for the label badge | | `Highlight Label` | Prominent highlight marker for featured listings | | `Salary Label` | Displayed salary range or compensation info | | `Job Scan Label Text` | Label assigned by Meinestadt's JobScan scoring engine | | `Job Scan Label Color` | Color code for the JobScan label | | `Job Scan Score` | Numerical quality/relevance score from JobScan | | `Debug Job Scan` | Raw debug output from the JobScan scoring process | #### Location | Field | Meaning | |---|---| | `Work City` | Primary city where the job is located | | `Nearest Address URL Name` | URL-safe name of the nearest address/location | | `Distance` | Distance from the search center point (in km) | | `Other Work Cities Stripped` | Additional work locations, stripped of formatting | | `City URL Names` | URL-friendly city name identifiers | #### Company & Branding | Field | Meaning | |---|---| | `Company Name` | Name of the hiring company | | `Logo URL` | Standard-resolution company logo image URL | | `Logo URL HQ` | High-quality version of the company logo | | `Partner Logo URL` | Logo URL for partner/agency-sourced listings | #### Job Characteristics | Field | Meaning | |---|---| | `Work Time` | Work time model (e.g., full-time, part-time) | | `Premium Work Time` | Enhanced/premium work time classification | | `Working Plan` | Schedule type (e.g., shifts, flexible) | | `Staffing` | Whether the role is via a staffing/temp agency | | `Job Offer Type` | Category of offer (e.g., permanent, freelance) | | `Profession IDs` | Profession category identifiers | | `Industries` | Industry tags associated with the listing | | `Departments` | Internal department classifications | | `Category Trackings` | Categories used for analytics tracking | | `SEO Tags` | SEO metadata tags attached to the listing | #### Dates & Availability | Field | Meaning | |---|---| | `Mslayer Element Start Date` | Listing activation/start date in the Meinestadt layer system | #### URLs & Navigation | Field | Meaning | |---|---| | `Detail URL` | Direct link to the full job detail page | | `Link Out Detail` | External outbound URL (for redirected applications) | | `Supports HTTPS` | Whether the detail URL supports secure HTTPS | | `Default Application Type` | How applications are submitted (e.g., form, email, external) | #### Personalization & UX Flags | Field | Meaning | |---|---| | `On Watchlist` | Whether the job has been saved by the user | | `MLM Group` | Multi-listing match group identifier | | `D` | Internal distance/parameter value | | `Search Extension Type` | Type of search extension applied (e.g., radius expansion) | *** ### How to Use 1. **Build your search URL** — Go to [jobs.meinestadt.de](https://jobs.meinestadt.de), apply your desired filters (city, radius, category, minijob toggle), then copy the full URL from your browser. 2. **Add URLs to input** — Paste one or more search URLs into the `urls` array. Use the Bulk edit section for large lists. 3. **Set item limit** — Adjust `max_items_per_url` based on how many results you need per search page. 4. **Enable fault tolerance** — Keep `ignore_url_failures: true` for uninterrupted bulk runs. 5. **Run and export** — Start the scraper and download results as JSON, CSV, or Excel. **Tips:** - Meinestadt.de search URLs encode filter parameters in the `#` fragment — ensure you copy the entire URL including the hash. - Paginate manually by adjusting the `page=N` parameter in your URLs to cover multiple result pages. - For city-wide coverage, use radius values (`radius: 30`+) encoded in the `jobsSearch` parameter. *** ### Use Cases & Business Value - **Regional market intelligence:** Understand which roles are in demand across specific German cities - **Salary benchmarking:** Aggregate salary labels by industry or location - **Job board aggregation:** Pipe listings into custom portals or internal HR tools - **Trend analysis:** Track hiring volume changes over time by scraping on a schedule The scraper eliminates hours of manual browsing across paginated German job search results, delivering consistent structured data compatible with any analytics or integration workflow. *** ### Conclusion The **Meinestadt.de Jobs Scraper** is the fastest way to extract structured, local job data from one of Germany's most comprehensive regional employment platforms. With nearly 50 output fields and flexible URL-based filtering, it gives recruiters, analysts, and developers reliable access to German labor market data at scale. Configure your search, run the scraper, and start working with the data immediately. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://jobs.meinestadt.de/augsburg/jk/0-96129?page=2#order=search(stelle%2Cfalse)&jobsSearch=%7B%22radius%22%3A30%2C%22d%22%3Anull%2C%22minijob%22%3Afalse%2C%22filters%22%3A%5B%5D%7D" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://jobs.meinestadt.de/augsburg/jk/0-96129?page=2#order=search(stelle%2Cfalse)&jobsSearch=%7B%22radius%22%3A30%2C%22d%22%3Anull%2C%22minijob%22%3Afalse%2C%22filters%22%3A%5B%5D%7D" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/meinestadt-jobs-search-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 = { "urls": ["https://jobs.meinestadt.de/augsburg/jk/0-96129?page=2#order=search(stelle%2Cfalse)&jobsSearch=%7B%22radius%22%3A30%2C%22d%22%3Anull%2C%22minijob%22%3Afalse%2C%22filters%22%3A%5B%5D%7D"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/meinestadt-jobs-search-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 '{ "urls": [ "https://jobs.meinestadt.de/augsburg/jk/0-96129?page=2#order=search(stelle%2Cfalse)&jobsSearch=%7B%22radius%22%3A30%2C%22d%22%3Anull%2C%22minijob%22%3Afalse%2C%22filters%22%3A%5B%5D%7D" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/meinestadt-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/meinestadt-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meinestadt Jobs Search Scraper", "description": "Scrape structured job listings from meinestadt.de — Germany's leading local job portal. Collect titles, salaries, company info, work cities, ad types, and 45+ fields per listing. Perfect for recruiters, HR analysts, and job aggregator developers.", "version": "0.0", "x-build-id": "yIvzCIoFVirGGu7Jg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~meinestadt-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-meinestadt-jobs-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~meinestadt-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-meinestadt-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~meinestadt-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-meinestadt-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the Jobs list urls to scrape", "type": "array", "description": "Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```