# Yelp Scraper — Leads, Reviews & Contacts (`sleek_waveform/yelp-scraper`) Actor Extract Yelp business listings: phone, website, address, reviews, ratings, hours, categories. Build B2B lead lists and monitor competitors. - **URL**: https://apify.com/sleek\_waveform/yelp-scraper.md - **Developed by:** [Daniel Dimitrov](https://apify.com/sleek_waveform) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 The **Yelp Scraper** extracts business listings, contact info, reviews, ratings, and operating hours from [Yelp](https://www.yelp.com) — no Yelp Fusion API key, no coding, no subscriptions. Enter search terms and locations (or paste direct business URLs) and the Yelp Scraper returns a clean, deduplicated dataset of every matching business in JSON, CSV, or Excel. Built for B2B lead generation, local-SEO research, competitor analysis, and review monitoring. This Apify Actor scrapes Yelp pages using a fast HTTP-only crawler with residential proxy support, automatic retries, and global result deduplication so the same business is never billed twice. ### Features of the Yelp Scraper - **Search Yelp by keyword + location** — any city, state, or ZIP code - **Direct Yelp business URL scraping** — paste URLs and skip search - **Full business details** — name, phone, website, address, rating, review count, categories, price range, hours, amenities, "About the Business" - **Extract Yelp reviews** — rating, date, text, author, friend count, photo count, useful/funny/cool votes - **Sort reviews** — newest, oldest, highest rating, lowest rating, or Yelp Elite only - **Pagination handled automatically** — respects your `maxResults` cap across pages - **Business deduplication** — the same Yelp business is never returned twice across searches - **Residential proxy rotation** — Yelp blocks datacenter IPs; residential is the default - **Webhook notifications** — optional POST to your endpoint when the run completes - **Export** — JSON, CSV, Excel, HTML, or XML via Apify datasets ### Why use this Yelp Scraper Yelp has no free public API for bulk data. The official [Yelp Fusion API](https://fusion.yelp.com/) costs from $229/month, caps you at 500 calls/day on the lowest paid tier, and returns truncated review text. This Yelp Scraper solves all four problems: | Yelp data problem | How the Yelp Scraper handles it | |---|---| | No free Yelp API | Pay-per-result — no subscription, no minimum | | Fusion API returns 3-review snippets | Extract up to 50 full reviews per business | | Yelp blocks datacenter IPs | Residential proxy group enabled by default | | Duplicate results across search terms | Global deduplication keyed by canonical URL | | Geographic limits on Fusion API | Scrape any Yelp domain: `.com`, `.ie`, `.co.uk`, `.ca`, more | ### How to use the Yelp Scraper (tutorial) #### Step 1 — Open the Actor Click **Try for free** on this page to open the Yelp Scraper in the [Apify Console](https://console.apify.com/). #### Step 2 — Enter search terms Type what you're looking for in **Search Terms** — for example `restaurants`, `plumbers`, `dentists`, `hair salons`. Add one or more. #### Step 3 — Enter locations Add cities, states, or ZIPs in **Locations** — for example `San Francisco, CA`, `94105`, `Manhattan NY`, `Austin, TX`. #### Step 4 — (Optional) Paste direct URLs If you already have Yelp business URLs, paste them into **Start URLs** to skip the search step entirely. #### Step 5 — Set limits and start Set **Max Results per Search** (default 50), **Max Reviews per Business** (default 5), and click **Start**. Results stream into the dataset as they scrape. Export from the **Dataset** tab in the format you need. #### Call the Yelp Scraper from code JavaScript: ```javascript const { ApifyClient } = require('apify-client'); const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); const run = await client.actor('YOUR_USERNAME/yelp-scraper').call({ searchTerms: ['restaurants'], locations: ['San Francisco, CA'], maxResults: 50, maxReviewsPerBusiness: 5, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ```` Python: ```python from apify_client import ApifyClient client = ApifyClient('YOUR_APIFY_TOKEN') run = client.actor('YOUR_USERNAME/yelp-scraper').call(run_input={ 'searchTerms': ['plumbers'], 'locations': ['Austin, TX'], 'maxResults': 100, }) items = client.dataset(run['defaultDatasetId']).list_items().items ``` CLI: ```bash apify call YOUR_USERNAME/yelp-scraper -i '{"searchTerms":["coffee"],"locations":["Seattle, WA"]}' ``` ### Pricing — how much does the Yelp Scraper cost The Yelp Scraper is priced per result (pay-per-event). You pay only for each business returned — reviews on each business are free. | Tier | Price | Best for | |---|---|---| | Free trial | First results free | Quality check | | Pay-per-result | ~$4.00 / 1,000 businesses | Ongoing scraping, any volume | Residential proxy bandwidth and Apify platform compute are included. No monthly fee, no setup cost, no per-seat pricing. #### Rough volume examples (at $4.00 / 1,000 businesses) | Job | Businesses | Estimated cost | |---|---|---| | 50 restaurants in one city | 50 | ~$0.20 | | 500 plumbers across Texas | 500 | ~$2.00 | | 5,000 dentists across a state | 5,000 | ~$20 | | 50,000 nationwide leads | 50,000 | ~$200 | ### Input Open the **Input** tab on the Actor page for the interactive form. Main fields: | Field | Type | Default | Description | |---|---|---|---| | `searchTerms` | string\[] | — | What to search for (`restaurants`, `plumbers`, `dentists`) | | `locations` | string\[] | — | Cities, states, or ZIPs (`San Francisco, CA`, `94105`) | | `startUrls` | string\[] | — | Direct Yelp business URLs — skips search | | `maxResults` | integer | `50` | Max businesses per search term/location pair | | `maxReviewsPerBusiness` | integer | `5` | Max reviews per business (0 to skip reviews) | | `reviewSortBy` | string | `newest` | `newest`, `oldest`, `highest_rating`, `lowest_rating`, `elites` | | `proxyConfiguration` | object | Residential | Proxy config — residential strongly recommended | | `webhookUrl` | string | — | Optional POST on run completion | ### Output example The Yelp Scraper returns one record per business. Reviews are nested inside each business record. ```json { "businessName": "Desnudo Coffee", "phone": "(424) 400-1857", "address": "2505 Webberville Rd, Austin, TX, 78702", "website": "http://www.desnudocoffee.com", "rating": 4.7, "reviewCount": 331, "categories": ["Coffee Roasteries"], "priceRange": "$$", "hours": { "Monday": "7:00 AM - 2:00 PM", "Tuesday": "7:00 AM - 2:00 PM", "Wednesday": "7:00 AM - 2:00 PM", "Thursday": "7:00 AM - 2:00 PM", "Friday": "7:00 AM - 2:00 PM", "Saturday": "7:30 AM - 2:30 PM", "Sunday": "7:30 AM - 2:30 PM" }, "mapUrl": "https://www.google.com/maps/search/?api=1&query=30.263001,-97.713647", "amenities": [ "Offers delivery", "Offers take-out", "Wheelchair accessible", "Accepts credit cards", "Good for working", "Street parking", "Covered outdoor seating", "Bike parking" ], "about": "Charming coffee trailer in East Austin with farm-to-trailer brews and vibrant music.", "url": "https://www.yelp.com/biz/desnudo-coffee-austin", "reviews": [ { "rating": 5, "date": "2026-04-14", "text": "Wonderful coffee shop run by the sweetest brothers...", "author": "Shannon S.", "authorFriendCount": 0, "authorPhotoCount": 4, "usefulCount": 0, "funnyCount": 0, "coolCount": 0 } ], "scrapedAt": "2026-04-24T04:14:34.238Z" } ``` #### Output preview (CSV) | businessName | phone | address | website | rating | reviewCount | categories | priceRange | |---|---|---|---|---|---|---|---| | Desnudo Coffee | (424) 400-1857 | 2505 Webberville Rd, Austin, TX | desnudocoffee.com | 4.7 | 331 | Coffee Roasteries | $$ | ### Use cases for the Yelp Scraper - **B2B lead generation** — pull prospect lists with verified phone numbers, websites, and addresses for any industry in any city - **Competitor analysis** — monitor rival businesses' Yelp ratings, review counts, and category tags over time - **Review monitoring** — track customer sentiment; sort by `lowest_rating` for reputation management alerts - **Local SEO research** — analyze category saturation, average ratings, and price ranges in a given market - **Sales outreach** — power cold email and cold call lists with enriched business data - **Market research** — segment local markets by category density, review volume, or rating distribution ### Integrations The Yelp Scraper dataset connects to: - **Zapier, Make, n8n** — trigger workflows when a run finishes (use `webhookUrl`) - **Google Sheets, Airtable, HubSpot, Salesforce** — through official [Apify integrations](https://docs.apify.com/platform/integrations) - **Webhooks, REST API, JS/Python clients** — programmatic control via the [Apify API](https://docs.apify.com/api/v2) ### Schedule Yelp Scraper runs Open the Actor page, click **Schedule**, and pick a cron interval. Use scheduled runs to refresh lead lists weekly, alert on new negative reviews daily, or run monthly competitor scans. See the [Apify Schedules docs](https://docs.apify.com/platform/schedules). ```javascript const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); await client.schedules().create({ actions: [{ type: 'RUN_ACTOR', actorId: 'YOUR_USERNAME/yelp-scraper', runInput: { body: JSON.stringify({ searchTerms: ['restaurants'], locations: ['San Francisco, CA'] }) }, }], cronExpression: '0 9 * * 1', }); ``` ### Other Apify Actors you may like - **Threads Scraper — Posts, Profiles & Metrics** — scrape Meta Threads profiles, posts, hashtags, and search with engagement metrics - **Google Maps Scraper** — extract business leads straight from Google Maps - **Yellow Pages Scraper** — alternative local-business data source - **Instagram Scraper** — pull profiles and posts for social-lead enrichment - **LinkedIn People Scraper** — decision-maker contact data for B2B outreach ### FAQ #### Is scraping Yelp legal? The Yelp Scraper only extracts **publicly available data** from business listing pages — the same data a visitor sees without logging in. It does not access private messages, Yelp-for-Business dashboards, or data behind authentication. Always comply with [Yelp's Terms of Service](https://terms.yelp.com/tos/en_us/) and applicable data-protection laws. #### Yelp Fusion API vs Yelp Scraper — which should I use? The [Yelp Fusion API](https://fusion.yelp.com/) starts at **$229/month**, limits you to 500 requests/day on the lowest paid tier, and returns only 3 truncated review snippets per business. The Yelp Scraper is pay-per-result (no monthly fee), has no daily cap, and extracts **full review text** up to 50 reviews per business. For anything beyond a light hobby project, the scraper is cheaper and more complete. #### Do I need a Yelp account or API key? No. The Yelp Scraper works without any Yelp account, developer key, or sign-up. Just enter search terms or URLs and run. #### Can I scrape all reviews for a Yelp business? Yes. Set `maxReviewsPerBusiness` up to 50 per business. Use `reviewSortBy: "lowest_rating"` to surface negative reviews first for reputation monitoring. #### How do I avoid getting blocked by Yelp? Yelp has aggressive bot detection. The Yelp Scraper enables **residential proxy rotation** by default, which is the only reliable way to scrape Yelp at scale. Datacenter proxies will produce 403 errors. #### How do I scrape Yelp reviews without coding? Open the Yelp Scraper in the Apify Console, enter search terms and locations, set `maxReviewsPerBusiness` to the number of reviews you want, and click **Start**. No code required. #### Can the Yelp Scraper scrape non-US Yelp sites? Yes. The scraper handles any Yelp domain — `.com`, `.ca`, `.co.uk`, `.ie`, `.fr`, and more. Just paste URLs from the target country into `startUrls`, or use location terms recognized by that country's Yelp. #### How do I export Yelp results as CSV or Excel? After the run finishes, open the **Dataset** tab and click **Export**. Choose JSON, CSV, Excel, HTML, or XML. The dataset includes preset views (Business Overview, B2B Leads Export, Full Details + Reviews). #### Can I schedule the Yelp Scraper to run automatically? Yes. Use **Schedules** in the Apify Console to run the Yelp Scraper on any cron expression — daily, weekly, monthly, or custom. See the code example above. #### How much does it cost to scrape 10,000 Yelp businesses? At $4.00 per 1,000 businesses, scraping 10,000 Yelp listings costs **~$40**. Reviews extracted for those businesses are included in the per-business price. ### Troubleshooting #### 403 Forbidden errors - Confirm `proxyConfiguration` is set to the `RESIDENTIAL` group (default) - Datacenter proxies will not work against Yelp #### Empty review arrays - Yelp occasionally A/B-tests review layouts; lower `maxReviewsPerBusiness` to 5–10 and retry - Some businesses genuinely have 0 reviews #### Wrong country results - Yelp may redirect US searches to a country version. Use `startUrls` with the exact Yelp URL to pin the result to one country ### Support - Review the **Troubleshooting** section above - Read the [Apify Actor development docs](https://docs.apify.com/platform/actors/development) - Open an issue on GitHub or contact the developer through the Actor page ### License MIT # Actor input Schema ## `searchTerms` (type: `array`): What to search for (e.g. restaurants, plumbers, dentists) ## `locations` (type: `array`): Cities, states, or zip codes to search (e.g. San Francisco CA, 94105, Manhattan NY) ## `startUrls` (type: `array`): Direct Yelp business page URLs to scrape (skips search). Add one URL per line. ## `maxResults` (type: `integer`): Maximum number of business results to extract per search term/location combination ## `maxReviewsPerBusiness` (type: `integer`): Maximum number of reviews to extract per business (0 to skip reviews) ## `reviewSortBy` (type: `string`): How to sort reviews when extracting ## `proxyConfiguration` (type: `object`): Residential proxies recommended for Yelp to avoid blocks. Datacenter proxies will get 403 errors. ## `webhookUrl` (type: `string`): Optional URL to receive a POST notification when the run completes ## Actor input object example ```json { "searchTerms": [ "restaurants" ], "locations": [ "San Francisco, CA" ], "startUrls": [], "maxResults": 50, "maxReviewsPerBusiness": 5, "reviewSortBy": "newest", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `datasetUrl` (type: `string`): Download the full dataset in JSON, CSV, or Excel. ## `consoleUrl` (type: `string`): View the run results in the Apify Console. # 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 = { "searchTerms": [ "restaurants" ], "locations": [ "San Francisco, CA" ], "startUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("sleek_waveform/yelp-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 = { "searchTerms": ["restaurants"], "locations": ["San Francisco, CA"], "startUrls": [], } # Run the Actor and wait for it to finish run = client.actor("sleek_waveform/yelp-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 '{ "searchTerms": [ "restaurants" ], "locations": [ "San Francisco, CA" ], "startUrls": [] }' | apify call sleek_waveform/yelp-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sleek_waveform/yelp-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yelp Scraper — Leads, Reviews & Contacts", "description": "Extract Yelp business listings: phone, website, address, reviews, ratings, hours, categories. Build B2B lead lists and monitor competitors.", "version": "1.0", "x-build-id": "Wt2AFzlxNn7CDPhK0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sleek_waveform~yelp-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sleek_waveform-yelp-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sleek_waveform~yelp-scraper/runs": { "post": { "operationId": "runs-sync-sleek_waveform-yelp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sleek_waveform~yelp-scraper/run-sync": { "post": { "operationId": "run-sync-sleek_waveform-yelp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search Terms", "minItems": 0, "maxItems": 20, "type": "array", "description": "What to search for (e.g. restaurants, plumbers, dentists)", "items": { "type": "string" } }, "locations": { "title": "Locations", "minItems": 0, "maxItems": 20, "type": "array", "description": "Cities, states, or zip codes to search (e.g. San Francisco CA, 94105, Manhattan NY)", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "minItems": 0, "maxItems": 100, "type": "array", "description": "Direct Yelp business page URLs to scrape (skips search). Add one URL per line.", "items": { "type": "string" } }, "maxResults": { "title": "Max Results per Search", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of business results to extract per search term/location combination", "default": 50 }, "maxReviewsPerBusiness": { "title": "Max Reviews per Business", "minimum": 0, "maximum": 50, "type": "integer", "description": "Maximum number of reviews to extract per business (0 to skip reviews)", "default": 5 }, "reviewSortBy": { "title": "Review Sort Order", "enum": [ "newest", "oldest", "highest_rating", "lowest_rating", "elites" ], "type": "string", "description": "How to sort reviews when extracting", "default": "newest" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxies recommended for Yelp to avoid blocks. Datacenter proxies will get 403 errors.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Optional URL to receive a POST notification when the run completes" } } }, "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 } } } } } } } } } } ```