# OpenStreetMap Points of Interest Scraper (`parseforge/overpass-osm-poi-scraper`) Actor Turn any city into a clean list of places from OpenStreetMap. Pick a place name or a coordinate with a radius, choose from 45 categories, and gather names, addresses, phones, websites, opening hours, and coordinates. Great for lead generation, competitor mapping, and location datasets. - **URL**: https://apify.com/parseforge/overpass-osm-poi-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ—บ๏ธ Overpass OSM POI Scraper > ๐Ÿš€ **Pull local business listings from OpenStreetMap in seconds.** Search any city by category and get names, addresses, phones, websites, and coordinates. > ๐Ÿ•’ **Last updated:** 2026-06-04 ยท **๐Ÿ“Š 20 fields** per place ยท powered by the Overpass API ยท worldwide coverage Collect points of interest from OpenStreetMap through the public Overpass API. Name a city or area, choose categories such as restaurants, hotels, pharmacies, or supermarkets, and get a clean list of places with their address, phone, website, email, opening hours, and exact latitude and longitude. You can also search around a coordinate with a radius, or add raw OpenStreetMap tag filters for anything not in the category list. **Coverage:** the entire OpenStreetMap database, every country and city, across 45 ready made categories plus any custom tag. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Sales and lead gen teams | Build local business prospect lists | | Market researchers | Map competitors in an area | | Logistics and delivery | Geocode and enrich place data | | App and data teams | Seed maps and location datasets | ### ๐Ÿ“‹ What the Overpass OSM POI Scraper does - Searches OpenStreetMap by place name or by coordinate and radius. - Collects 45 ready made categories, from restaurants to gyms to pharmacies. - Accepts raw OpenStreetMap tag filters for full control. - Returns 20 structured fields per place, including contact details. - Gives exact latitude and longitude for every result. - Exports to CSV, Excel, JSON, XML, or via API. ### ๐ŸŽฌ Full Demo (_๐Ÿšง Coming soon_) ### โš™๏ธ Input | Field | Type | Description | |---|---|---| | `place` | string | City or area to search, for example Berlin, Germany. Resolved to a map area automatically. | | `latitude` | string | Center latitude, used when no place is set. | | `longitude` | string | Center longitude, used when no place is set. | | `radiusMeters` | integer | Search radius around the coordinate, in meters. | | `categories` | array | Place types to collect, picked from 45 categories. | | `customFilters` | array | Raw OpenStreetMap tag filters such as amenity=cinema. | | `maxItems` | integer | Cap on places returned. Free plan is limited to 10. | **Example 1: restaurants in a city** ```json { "place": "Berlin, Germany", "categories": ["restaurant"], "maxItems": 200 } ```` **Example 2: several categories around a coordinate** ```json { "latitude": "48.8566", "longitude": "2.3522", "radiusMeters": 1200, "categories": ["hotel", "pharmacy", "supermarket"], "maxItems": 500 } ``` > โš ๏ธ **Good to Know:** a place is resolved to its full bounding box, so a large city can match many places. Use `maxItems` to cap output. Contact fields such as `phone`, `website`, and `email` come from OpenStreetMap contributors, so they appear for most but not all places. When both a place and a coordinate are set, the place wins. ### ๐Ÿ“Š Output Each record contains the following fields: | Field | Description | |---|---| | ๐Ÿ“Œ `name` | Place name | | ๐Ÿท `category` | Main OpenStreetMap category value | | ๐Ÿงฑ `osmType` | node, way, or relation | | ๐Ÿ”ข `osmId` | OpenStreetMap element id | | ๐Ÿ”— `osmUrl` | Link to the element on OpenStreetMap | | ๐Ÿงญ `latitude` | Latitude | | ๐Ÿงญ `longitude` | Longitude | | ๐Ÿ“ `address` | Street and postal address | | ๐Ÿ™ `city` | City | | ๐Ÿ“ฎ `postcode` | Postal code | | ๐Ÿ“ž `phone` | Phone number | | ๐ŸŒ `website` | Website | | โœ‰๏ธ `email` | Email | | ๐Ÿ• `openingHours` | Opening hours string | | ๐Ÿฝ `cuisine` | Cuisine, for food places | | โ™ฟ `wheelchair` | Wheelchair access | | ๐Ÿงฉ `tags` | All raw OpenStreetMap tags | | ๐Ÿ”Ž `searchPlace` | Area or coordinate that surfaced this place | | ๐Ÿ•’ `scrapedAt` | Collection timestamp | | โŒ `error` | Error message, null on success | **Real sample records:** ```json { "name": "Aida", "category": "restaurant", "osmType": "node", "osmId": 26735749, "osmUrl": "https://www.openstreetmap.org/node/26735749", "latitude": 52.5068638, "longitude": 13.3228585, "address": "KnesebeckstraรŸe, 10623 Berlin", "city": "Berlin", "postcode": "10623", "phone": "+49 30 318 06 750", "website": "https://www.aida-restaurant.de/", "email": "aida-camillo@web.de", "openingHours": "Mo-Sa 11:30-21:00; Su 15:00-21:00", "cuisine": "italian;pizza", "wheelchair": "no", "searchPlace": "Berlin, Germany", "error": null } ``` ```json { "name": "Madame Ngo", "category": "restaurant", "osmType": "node", "osmId": 26735759, "osmUrl": "https://www.openstreetmap.org/node/26735759", "latitude": 52.5062119, "longitude": 13.3180811, "address": "KantstraรŸe 30, 10623 Berlin", "city": "Berlin", "postcode": "10623", "phone": "+49 157 53604089", "website": "https://madame-ngo.de/", "email": null, "openingHours": "Mo-Sa 12:00-16:30, 18:00-22:00; Su 12:00-16:30, 18:00-21:30", "cuisine": "asian", "wheelchair": "limited", "searchPlace": "Berlin, Germany", "error": null } ``` ```json { "name": "Nam Thuรขn", "category": "restaurant", "osmType": "node", "osmId": 26735763, "osmUrl": "https://www.openstreetmap.org/node/26735763", "latitude": 52.5073199, "longitude": 13.3207804, "address": "PestalozzistraรŸe 106, 10625 Berlin", "city": "Berlin", "postcode": "10625", "openingHours": "Mo-Fr 11:00-22:00; Sa,PH 12:00-22:00", "cuisine": "vietnamese", "wheelchair": "no", "searchPlace": "Berlin, Germany", "error": null } ``` ### โœจ Why choose this Actor - **Worldwide.** Every city in OpenStreetMap is searchable. - **45 categories.** From restaurants to clinics to EV charging. - **Contact ready.** Phone, website, and email when contributors added them. - **Precise coordinates.** Latitude and longitude on every place. - **Ready to export.** CSV, Excel, JSON, XML, or API, with a clean table view. ### ๐Ÿ“ˆ How it compares to alternatives | | Overpass OSM POI Scraper | Manual map browsing | Generic web scrapers | |---|---|---|---| | Whole city in one run | โœ… | โŒ | โš ๏ธ Needs setup | | Contact and address fields | โœ… | โš ๏ธ | โŒ | | Coordinates on every place | โœ… | โš ๏ธ | โŒ | | 45 categories plus custom tags | โœ… | โŒ | โš ๏ธ | | Export to CSV/Excel/JSON/XML | โœ… | โŒ | โš ๏ธ | ### ๐Ÿš€ How to use 1. Create a free Apify account using [this sign-up link](https://console.apify.com/sign-up?fpr=vmoqkp). 2. Open the Overpass OSM POI Scraper. 3. Enter a `place` or a coordinate, then pick one or more `categories`. 4. Click **Start** and watch the dataset fill in real time. 5. Export your results as CSV, Excel, JSON, or XML, or pull them via API. ### ๐Ÿ’ผ Business use cases **๐ŸŽฏ Lead generation** | Goal | How | |---|---| | Build prospect lists | Search a category across a city | | Reach out fast | Keep places with a phone or website | **๐Ÿ” Market research** | Goal | How | |---|---| | Map competitors | Search your category in a target area | | Spot gaps | Compare density across neighborhoods | **๐Ÿ—บ Location intelligence** | Goal | How | |---|---| | Enrich a map | Pull coordinates for every place | | Plan routes | Group nearby places by area | **๐Ÿ“Š Data projects** | Goal | How | |---|---| | Seed a dataset | Pull many categories at once | | Link records | Use the OSM id as a stable key | ### ๐Ÿ”Œ Automating Overpass OSM POI Scraper Connect this Actor to your stack with Apify integrations: **Make**, **Zapier**, **Slack**, **Airbyte**, **GitHub**, and **Google Drive**. Schedule runs and push fresh place data into spreadsheets, databases, or alerts. ### ๐ŸŒŸ Beyond business use cases - **Research:** study how amenities are distributed across a city. - **Personal:** find every cafe or pharmacy near a new home. - **Non-profit:** map services available in a community. - **Experimentation:** build location apps and map mashups. ### ๐Ÿค– Ask an AI assistant Paste your dataset into [ChatGPT](https://chat.openai.com), [Claude](https://claude.ai), [Perplexity](https://www.perplexity.ai), or [Copilot](https://copilot.microsoft.com) and ask for places with a website, the busiest streets, or clusters by category. ### โ“ Frequently Asked Questions **1. Do I need an API key?** No. The Actor uses the public Overpass API and OpenStreetMap data. **2. Which areas are covered?** Anywhere in OpenStreetMap, which means every country and city. **3. How do I search a city?** Put its name in `place`, for example Madrid, Spain. **4. Can I search around a point?** Yes. Leave `place` empty and set `latitude`, `longitude`, and `radiusMeters`. **5. What categories are available?** 45 ready made ones, from restaurants and hotels to clinics and EV charging. **6. Can I use a category that is not listed?** Yes. Add a raw tag filter in `customFilters`, such as amenity=cinema. **7. Why is a phone or website missing on some places?** Those fields come from OpenStreetMap contributors and are not filled in everywhere. **8. Are coordinates always included?** Yes. Every place has a latitude and longitude. **9. What export formats are supported?** CSV, Excel, JSON, XML, and API. **10. Can I run it on a schedule?** Yes, with Apify Schedules and integrations. **11. Is there a free option?** Yes. Free runs are limited to 10 items as a preview. Paid plans unlock up to 1,000,000. ### ๐Ÿ”Œ Integrate with any app Use the Apify API, webhooks, and 5,000-plus integrations to push place data into Make, Zapier, Google Sheets, Airtable, databases, and more. ### ๐Ÿ”— Recommended Actors - [Nominatim OSM Scraper](https://apify.com/parseforge/nominatim-osm-scraper) - [GeoNames Places Scraper](https://apify.com/parseforge/geonames-places-scraper) - [OpenTopoData Elevation Scraper](https://apify.com/parseforge/opentopodata-elevation-scraper) - [Zippopotam Postal Lookup Scraper](https://apify.com/parseforge/zippopotam-postal-lookup-scraper) - [RestCountries Scraper](https://apify.com/parseforge/restcountries-scraper) > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge). **๐Ÿ†˜ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **โš ๏ธ Disclaimer:** independent tool, not affiliated with the OpenStreetMap Foundation. Data comes from OpenStreetMap contributors under the Open Database License. # Actor input Schema ## `place` (type: `string`): City, neighborhood, or area to search, for example 'Berlin, Germany' or 'Manhattan, New York'. Resolved to a map area automatically. Leave empty to search around a coordinate instead. ## `latitude` (type: `string`): Center latitude when no place is set, for example 52.5174. Used together with longitude and radius. ## `longitude` (type: `string`): Center longitude when no place is set, for example 13.3951. Used together with latitude and radius. ## `radiusMeters` (type: `integer`): Search radius around the coordinate, in meters. Only used when searching around a coordinate. ## `categories` (type: `array`): Types of place to collect. Pick one or more. ## `customFilters` (type: `array`): Raw OpenStreetMap tag filters, one per line, for example 'amenity=cinema', 'shop=bicycle', or 'office' to match any office. Combined with the categories above. ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## Actor input object example ```json { "place": "Berlin, Germany", "radiusMeters": 1500, "categories": [ "restaurant" ], "maxItems": 10 } ``` # 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 = { "place": "Berlin, Germany", "radiusMeters": 1500, "categories": [ "restaurant" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/overpass-osm-poi-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "place": "Berlin, Germany", "radiusMeters": 1500, "categories": ["restaurant"], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/overpass-osm-poi-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "place": "Berlin, Germany", "radiusMeters": 1500, "categories": [ "restaurant" ], "maxItems": 10 }' | apify call parseforge/overpass-osm-poi-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/overpass-osm-poi-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OpenStreetMap Points of Interest Scraper", "description": "Turn any city into a clean list of places from OpenStreetMap. Pick a place name or a coordinate with a radius, choose from 45 categories, and gather names, addresses, phones, websites, opening hours, and coordinates. Great for lead generation, competitor mapping, and location datasets.", "version": "0.1", "x-build-id": "2FKQx4c8F66hDMAaq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~overpass-osm-poi-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-overpass-osm-poi-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~overpass-osm-poi-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-overpass-osm-poi-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~overpass-osm-poi-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-overpass-osm-poi-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "place": { "title": "Place", "type": "string", "description": "City, neighborhood, or area to search, for example 'Berlin, Germany' or 'Manhattan, New York'. Resolved to a map area automatically. Leave empty to search around a coordinate instead." }, "latitude": { "title": "Latitude", "type": "string", "description": "Center latitude when no place is set, for example 52.5174. Used together with longitude and radius." }, "longitude": { "title": "Longitude", "type": "string", "description": "Center longitude when no place is set, for example 13.3951. Used together with latitude and radius." }, "radiusMeters": { "title": "Radius (meters)", "minimum": 50, "maximum": 50000, "type": "integer", "description": "Search radius around the coordinate, in meters. Only used when searching around a coordinate." }, "categories": { "title": "Categories", "type": "array", "description": "Types of place to collect. Pick one or more.", "items": { "type": "string", "enum": [ "restaurant", "cafe", "bar", "pub", "fast_food", "hotel", "guest_house", "hostel", "pharmacy", "hospital", "clinic", "doctors", "dentist", "veterinary", "bank", "atm", "fuel", "charging_station", "parking", "school", "university", "library", "police", "post_office", "place_of_worship", "cinema", "theatre", "supermarket", "convenience", "bakery", "butcher", "clothes", "hairdresser", "beauty", "car_repair", "car_dealer", "furniture", "electronics", "hardware", "florist", "gym", "park", "museum", "attraction", "gallery" ], "enumTitles": [ "Restaurant", "Cafe", "Bar", "Pub", "Fast food", "Hotel", "Guest house", "Hostel", "Pharmacy", "Hospital", "Clinic", "Doctors", "Dentist", "Veterinary", "Bank", "ATM", "Fuel station", "EV charging", "Parking", "School", "University", "Library", "Police", "Post office", "Place of worship", "Cinema", "Theatre", "Supermarket", "Convenience store", "Bakery", "Butcher", "Clothes shop", "Hairdresser", "Beauty salon", "Car repair", "Car dealer", "Furniture shop", "Electronics shop", "Hardware shop", "Florist", "Gym", "Park", "Museum", "Tourist attraction", "Art gallery" ] } }, "customFilters": { "title": "Custom OSM filters (advanced)", "type": "array", "description": "Raw OpenStreetMap tag filters, one per line, for example 'amenity=cinema', 'shop=bicycle', or 'office' to match any office. Combined with the categories above.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" } } }, "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 } } } } } } } } } } ```