# WLW Scraper – B2B Supplier Leads Germany (`blackfalcondata/wlw-scraper`) Actor Scrape wlw.de — the leading DACH B2B supplier directory — and extract phone number, address, and website for each matching supplier. No browser or proxy needed. Supports incremental runs to detect new and changed listings. - **URL**: https://apify.com/blackfalcondata/wlw-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Business, Lead generation, Automation - **Stats:** 2 total users, 1 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 and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### What does WLW Scraper do? WLW Scraper extracts structured listing data from [wlw.de](https://wlw.de) — including contact details, company metadata, full descriptions, and location data. It supports keyword search and controllable result limits, so you can run the same query consistently over time. ### Key features - **Incremental mode** — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records. ### What data can you extract from wlw.de? Each result includes Core listing fields (`listingId`, `listingKey`, `uuid`, `slug`, `name`, `city`, `street`, and `zipcode`, and more), detail fields when enrichment is enabled (`description`), contact and apply information (`phoneNumber` and `emailExisting`), and company metadata (`companyId`). All fields are always present — unavailable data points are returned as `null`, never omitted. ### Input The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema. Key parameters: - **`query`** — Keyword to search for suppliers (e.g. "Pumpen", "Werkzeugmaschinen"). Use JSON array for multiple queries. - **`startUrls`** — Direct wlw.de search URLs to scrape. - **`maxResults`** — Maximum number of companies to return (0 = unlimited). (default: `0`) - **`maxPages`** — Maximum search result pages to scrape per query (0 = unlimited, ~30 companies/page). (default: `0`) - **`supplierType`** — Filter results to a specific supplier type. Valid values: production, distribution, service, wholesaler, customer_specific_manufacturing. - **`countries`** — Post-extraction country filter. Only return companies whose countryCode matches one of the specified ISO 3166-1 alpha-2 codes (e.g. ["DE", "AT", "CH"]). Applied after scraping — all pages are fetched regardless. - **`incrementalMode`** — Track new, updated, and removed companies across runs. Requires stateKey. (default: `false`) - **`stateKey`** — Stable identifier for the tracked search universe (e.g. "pumpen-de"). - **`emitUnchanged`** — When incremental, also emit companies that haven't changed. (default: `false`) - **`emitExpired`** — When incremental, also emit companies no longer found in search results. (default: `false`) #### Input examples **Basic search** — Keyword-driven search with a result cap. → Full payload per result — all standard fields populated where the source provides them. ```json { "query": "Pumpen", "maxResults": 50 } ```` **Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`. → First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well. ```json { "query": "Pumpen", "maxResults": 200, "incrementalMode": true, "stateKey": "pumpen-tracker" } ``` ### Output Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. #### Example listing record ```json { "listingId": "9a5d1b0bd4aa5542ac371840285780e5660e009ab8d41ad4cb059ef1fecdd665", "listingKey": "der-kaffeemann-gmbh-1017029", "companyId": 1017029, "uuid": "00505682-f25b-1ee9-bd91-d2a9b39497fb", "slug": "der-kaffeemann-gmbh-1017029", "name": "Der Kaffeemann GmbH", "description": "Wir schließen Versorgungslücken - seit über 50 Jahren bringen wir Kaffeegenuss, Kaltgetränke und Snacks in NRW an den Arbeitsplatz und überall dorthin, wo eine professionelle Lösung gefragt ist. \n\n\nD...", "city": "Solingen", "street": "Lindgesfeld 20", "zipcode": "42653", "countryCode": "DE", "latitude": 51.2040693, "longitude": 7.0826337, "homepage": "http://www.der-kaffeemann.de/", "phoneNumber": "+49212258380", "emailExisting": true, "foundingYear": 1994, "employeeCount": "10-19", "certificatesCount": 0, "supplierTypes": [ "service", "distribution", "wholesaler" ], "distributionArea": "regional", "averageResponseTime": "less_than_24h", "responseRate": 1, "isCustomer": true, "logoUrl": "https://wlw-1-company-facts-media20191122174836234900000006.s3.eu-central-1.amazonaws.com/43dcf5f0-addd-4b0f-bb71-cc5420ca9031.jpeg", "portfolioProductCount": 5, "productCount": 18, "epId": null, "profileUrl": "https://www.wlw.de/de/firma/der-kaffeemann-gmbh-1017029", "sourceUrl": "https://www.wlw.de/de/suche/firmen?for=Pumpen", "searchQuery": "Pumpen", "scrapedAt": "2026-04-19T13:58:23.087Z", "source": "wlw.de", "contentHash": "5ad4234d755412c4079968c29f529cb9c8a1b3d0a877cfb654eb905ccacebaed", "changeType": "NEW", "trackedHash": "5ad4234d755412c4079968c29f529cb9c8a1b3d0a877cfb654eb905ccacebaed", "firstSeenAt": "2026-04-19T13:58:23.087Z", "lastSeenAt": "2026-04-19T13:58:23.087Z", "previousSeenAt": null, "expiredAt": null, "stateKey": "live-verify-1776607096636" } ``` #### Incremental fields When `incremental: true`, each record also carries: - `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others. - `firstSeenAt`, `lastSeenAt` — ISO-8601 timestamps tracking the listing across runs. ### How to scrape wlw.de 1. Go to [WLW Scraper](https://apify.com/blackfalcondata/wlw-scraper?fpr=1h3gvi) in Apify Console. 2. Enter a search keyword. 3. Set `maxResults` to control how many results you need. 4. Click **Start** and wait for the run to finish. 5. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract listing data from wlw.de for market research and competitive analysis. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Build outreach lists using contact details and apply URLs from listings. - Research company hiring patterns, employer profiles, and industry distribution. - Use structured location data for regional analysis, mapping, and geo-targeting. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. ### How much does it cost to scrape wlw.de? WLW Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.005 per run - **Per result:** $0.0015 per listing record Example costs: - 10 results: **$0.02** - 100 results: **$0.15** - 500 results: **$0.76** #### Example: recurring monitoring savings These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions. Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count. | Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline | |---|---:|---:|---:|---:| | 5% — stable niche query | $0.38 | $0.02 | $0.36 (94%) | $0.71 | | 15% — moderate broad query | $0.38 | $0.06 | $0.32 (84%) | $1.84 | | 30% — high-volume aggregator | $0.38 | $0.12 | $0.26 (69%) | $3.53 | Full re-scrape monthly cost at daily polling: $11.40. First month with incremental costs $1.07 / $2.16 / $3.79 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply. Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same. ### FAQ #### How many results can I get from wlw.de? The number of results depends on the search query and available listings on wlw.de. Use the `maxResults` parameter to control how many results are returned per run. #### Does WLW Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate WLW Scraper with other apps? Yes. WLW Scraper works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use WLW Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use WLW Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows. #### Is it legal to scrape wlw.de? This actor extracts publicly available data from wlw.de. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/wlw-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper?fpr=1h3gvi) — Scrape adzuna.com - the global job board with 20+ country markets. Structured salary. - [APEC.fr Scraper - French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,. - [Arbeitsagentur Scraper - German Jobs](https://apify.com/blackfalcondata/arbeitsagentur-scraper?fpr=1h3gvi) — Scrape arbeitsagentur.de - Germany’s official employment portal with 1M+ listings. Contact data,. - [AutoScout24 Scraper](https://apify.com/blackfalcondata/autoscout24-scraper?fpr=1h3gvi) — Scrape autoscout24.com - Europe's largest used car marketplace with 770K+ listings. Structured. - [Bayt.com Scraper - Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com - the leading Middle East job board. Salary data, experience requirements. - [Bilbasen Scraper - Denmark’s Car Marketplace](https://apify.com/blackfalcondata/bilbasen-scraper?fpr=1h3gvi) — Scrape bilbasen.dk - Denmark’s largest car marketplace. Full vehicle specifications, seller. - [Bumeran Scraper](https://apify.com/blackfalcondata/bumeran-scraper?fpr=1h3gvi) — Scrape bumeran.com.ar - the largest job board across 8 LATAM countries. Work modality, contract. - [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper?fpr=1h3gvi) — Scrape cadremploi.fr - French management and executive jobs. Salary ranges, apply links. ### Getting started with Apify New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — no credit card required. 1. Sign up — $5 platform credit included 2. Open this actor and configure your input 3. Click **Start** — export results as JSON, CSV, or Excel Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi). # Actor input Schema ## `query` (type: `string`): Keyword to search for suppliers (e.g. "Pumpen", "Werkzeugmaschinen"). Use JSON array for multiple queries. ## `startUrls` (type: `array`): Direct wlw.de search URLs to scrape. ## `maxResults` (type: `integer`): Maximum number of companies to return (0 = unlimited). ## `maxPages` (type: `integer`): Maximum search result pages to scrape per query (0 = unlimited, ~30 companies/page). ## `supplierType` (type: `string`): Filter results to a specific supplier type. Valid values: production, distribution, service, wholesaler, customer\_specific\_manufacturing. ## `countries` (type: `array`): Post-extraction country filter. Only return companies whose countryCode matches one of the specified ISO 3166-1 alpha-2 codes (e.g. \["DE", "AT", "CH"]). Applied after scraping — all pages are fetched regardless. ## `incrementalMode` (type: `boolean`): Track new, updated, and removed companies across runs. Requires stateKey. ## `stateKey` (type: `string`): Stable identifier for the tracked search universe (e.g. "pumpen-de"). ## `emitUnchanged` (type: `boolean`): When incremental, also emit companies that haven't changed. ## `emitExpired` (type: `boolean`): When incremental, also emit companies no longer found in search results. ## Actor input object example ```json { "query": "Pumpen", "maxResults": 30, "maxPages": 0, "incrementalMode": false, "emitUnchanged": false, "emitExpired": false } ``` # 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 = { "query": "Pumpen", "maxResults": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/wlw-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 = { "query": "Pumpen", "maxResults": 30, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/wlw-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 '{ "query": "Pumpen", "maxResults": 30 }' | apify call blackfalcondata/wlw-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/wlw-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "WLW Scraper – B2B Supplier Leads Germany", "description": "Scrape wlw.de — the leading DACH B2B supplier directory — and extract phone number, address, and website for each matching supplier. No browser or proxy needed. Supports incremental runs to detect new and changed listings.", "version": "0.1", "x-build-id": "Gg3eZZNhVxoJsFaDa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~wlw-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-wlw-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/blackfalcondata~wlw-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-wlw-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/blackfalcondata~wlw-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-wlw-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": { "query": { "title": "Search Query", "type": "string", "description": "Keyword to search for suppliers (e.g. \"Pumpen\", \"Werkzeugmaschinen\"). Use JSON array for multiple queries." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct wlw.de search URLs to scrape.", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Maximum number of companies to return (0 = unlimited).", "default": 0 }, "maxPages": { "title": "Max Pages", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Maximum search result pages to scrape per query (0 = unlimited, ~30 companies/page).", "default": 0 }, "supplierType": { "title": "Supplier Type", "enum": [ "production", "distribution", "service", "wholesaler", "customer_specific_manufacturing" ], "type": "string", "description": "Filter results to a specific supplier type. Valid values: production, distribution, service, wholesaler, customer_specific_manufacturing." }, "countries": { "title": "Countries", "type": "array", "description": "Post-extraction country filter. Only return companies whose countryCode matches one of the specified ISO 3166-1 alpha-2 codes (e.g. [\"DE\", \"AT\", \"CH\"]). Applied after scraping — all pages are fetched regardless.", "items": { "type": "string" } }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Track new, updated, and removed companies across runs. Requires stateKey.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Stable identifier for the tracked search universe (e.g. \"pumpen-de\")." }, "emitUnchanged": { "title": "Emit Unchanged Records", "type": "boolean", "description": "When incremental, also emit companies that haven't changed.", "default": false }, "emitExpired": { "title": "Emit Expired Records", "type": "boolean", "description": "When incremental, also emit companies no longer found in search results.", "default": false } } }, "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 } } } } } } } } } } ```