# Etsy Listing Scraper – Real Product Data, Reviews & Carts (`yumitori/etsy-listing-inspector`) Actor Etsy listing scraper: x-rays one listing into ~70 fields a search scraper never returns — live carts, every review (sub-ratings + photos), per-variation pricing, true competitors, seller trust, AI alt-text. Read live, never estimated — a full teardown of any listing, yours or a rival's. - **URL**: https://apify.com/yumitori/etsy-listing-inspector.md - **Developed by:** [Yakugusa Yumitori](https://apify.com/yumitori) (community) - **Categories:** AI, E-commerce, SEO tools - **Stats:** 2 total users, 1 monthly users, 80.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 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 ## Etsy Listing Scraper — Real Product Data: Reviews, Carts & Competitors Point it at **one Etsy listing — yours or a competitor's —** and get back everything the product page holds that a *search* scraper can't — **~70 fields** in one clean record: full copy, **per-variation pricing**, the **exact promo schedule**, **every real review** (sub-ratings + photos), the listing's own **star histogram**, buyer **"would-recommend %"**, **seller trust signals**, Etsy's **AI alt-text in 10 languages**, a **photo-darkness audit**, and the shop's **other listings + true competitors**. **Every figure is Etsy's own** — real prices, reviews, ratings, and live cart counts pulled straight from the listing, **never estimated, modeled, or guessed** (unlike search-volume tools). **No login, no proxies, no setup** — just paste a listing and run. > Don't have the listing URL? Pass a **shop name** instead — it returns that shop's listings (id + title) to pick from. ### Quick start Inspect listings (paste **URLs or IDs**): ```json { "listings": ["https://www.etsy.com/listing/1853337433/...", "4418320341"] } ```` Or deep-dive a whole shop — its top listings, ranked by live demand: ```json { "shopName": ["MyhandcraftGoods"], "maxShopListings": 10 } ``` **Want more than one shop at once? No problem** — pass a list, and you get each shop's best in a single run: ```json { "shopName": ["MyhandcraftGoods", "AnotherShop"], "maxShopListings": 10 } ``` *(The limit applies **per shop**. Turn on `listTitlesOnly` to just get each shop's listing menu to pick from — no deep fetch.)* ### How many listings you get — and how they're picked - **Paste listings** → you get **exactly those**, one deep record each. - **Give a shop** → it scans the shop's catalog and deep-dives the **top listings by demand** — **10 by default, up to 25 per shop** (`maxShopListings`). Pass several shops and you get that many from **each**. - **How "top" is decided** → listings are ranked by **real demand, not catalog order**: **bestsellers first, then live cart counts, then most-recently-sold.** So you always get a shop's highest-impact listings — never a random slice. (A volatile signal like live carts is blended with bestseller status and recent sales, so one quiet day doesn't bury a strong listing.) So a 2-shop run at the default returns up to **20 deep records** (10 per shop); bump `maxShopListings` to widen each shop's cut. ### What makes it different Most of the ~70 fields are self-explanatory in the sample below. These are the ones **no search scraper gives you** — with a real snippet of each: **💲 Per-variation price ladder** — the real buyer price for *each* option, not a vague "from" price ```json "price_ladder": [ { "option": "10 cards", "price": 3.02 }, { "option": "50 cards", "price": 5.33 }, { "option": "100 cards", "price": 8.77 } ] ``` **👍 Buyer "would-recommend %"** — Etsy's post-purchase survey, *separate from stars* (a 4.9★ listing can hide unhappy buyers); auto-flagged when it dips below ~90% ```json "would_recommend_pct": 98.9, "would_recommend_count": 3946, "would_recommend_flag": "ok" ``` **⭐ Every real review** — full text, per-review sub-ratings, photos, seller replies — plus Etsy's own **review themes** ```json "reviews": [ { "rating": 5, "text": "Such a cool necklace!", "item_quality": 5, "shipping": 5, "photo": "https://…", "seller_response": null } ], "review_themes": [ { "theme": "Appearance", "count": 4082 }, { "theme": "Quality", "count": 2925 } ] ``` **🥊 True competitors** — the visually-similar listings from *other* shops, live carts, sorted by demand (same-shop items filtered out) ```json "competitors": [ { "shop_name": "Goldmira", "in_cart_count": 59, "is_bestseller": true, "title": "14K Gold Custom Name Chain…" } ], "top_competitor": "Goldmira (59 carts)" ``` **📸 Photo-darkness audit** — per-image brightness from the blurhash (Etsy's *PhotoTooDark* signal) — no image download ```json "photo_audit": { "avg_brightness": 0.59, "primary_brightness": 0.163, "dark_image_indexes": [0], "flags": ["primary photo is dark (weakest thumbnail in search)"] } ``` **🔑 Seller trust + AI SEO** — years on Etsy, on-time %, category bestseller rank; Etsy's AI alt-text in 10 languages ```json "trust_signals": ["8 years on Etsy", "95%+ orders shipped on time"], "ai_alt_text": "Gold necklace with a geometric pendant that spells out the name…", "ai_alt_text_language_count": 10 ``` Plus the basics: copy, tags, materials, taxonomy, promotions, star histogram, logistics, and the shop's own catalog. ### Real data, not estimates — an EverBee / eRank alternative Most Etsy research tools — **EverBee, eRank, Marmalead** — run on **estimates and periodic data**: - **EverBee** gives *estimated* sales and revenue — modeled numbers, not the live figures from the listing itself. - **eRank** and **Marmalead** are keyword-*research* tools — their numbers aren't pulled live from Etsy at the moment you look, and refresh on a schedule. This is an **Etsy listing scraper that returns real data, not estimates.** Every figure — live cart counts, every real review with sub-ratings and photos, per-variation pricing, true competitor demand — is read **straight from the live Etsy listing at the moment of the scan.** Nothing is modeled, graded, or guessed. | | Estimate tools (EverBee, eRank, Marmalead) | This scraper | |---|---|---| | **Demand / sales** | Estimated (~80% accuracy) | Real, live cart counts | | **Reviews** | Star rating + count | Every review + sub-ratings + photos | | **Freshness** | Monthly (Google data) or cached | Live, at scan time | | **Source** | Google Keyword Planner / models | Etsy's own listing data | | **Access** | Monthly subscription, paywalled tiers | Run on demand, no lock-in | If you've searched for an **EverBee alternative** or an **eRank alternative** with data you can actually trust, this is the real-data option. ### Sample output One listing → one record (~70 fields). Arrays trimmed to `[…]`; full set shown: ```json { "type": "listing", "listing_id": 1097017861, "title": "Personalized Name Necklace, Name Logo Necklace, Personalized necklace for mom", "listing_url": "https://www.etsy.com/listing/1097017861/personalized-name-necklace-name-logo", "shop_name": "RobertoGoldDiamond", "shop_url": "https://www.etsy.com/shop/RobertoGoldDiamond", "listed_on": "2026-06-11", "description": "This necklace brings you a chance to carry your name …", "tags": ["gold name necklace", "personalized gift", "…"], "tags_joined": "gold name necklace, personalized gift, necklace with name, …", "materials": ["Rose gold", "White gold", "Brass", "Yellow gold"], "materials_joined": "Rose gold, White gold, Brass, Yellow gold", "when_made": "made_to_order", "taxonomy_path": "jewelry.necklaces.monogram_and_name_necklaces", "taxonomy_leaf": "Monogram & Name Necklaces", "category_attribute_menus": { "Occasion": ["Anniversary", "…"], "Holiday": ["Lunar New Year", "…"], "Chain style": ["Ball", "…"], "Recipient": ["Women", "…"], "Material": ["…"], "Style": ["…"], "Sustainable features": ["Upcycled", "…"] }, "price_min": 120.0, "price_max": 120.0, "variations": [{ "name": "Primary color", "options": [{ "option": "White", "price": null, "available": true }, "…"] }, "…"], "price_ladder": [{ "option": "White", "price": null }, "…"], "promotions": [{ "percent_off": 60, "min_items": 0, "starts": "2026-06-11", "ends": "2026-06-12", "is_shop_wide": true }], "listing_avg_rating": 4.92, "listing_reviews_count": 11420, "star_histogram": { "1_star": 36, "2_star": 31, "3_star": 93, "4_star": 416, "5_star": 10844 }, "star_percents": { "5_star_pct": 94, "4_star_pct": 3, "3_star_pct": 1, "2_star_pct": 1, "1_star_pct": 1 }, "photo_review_count": 1258, "video_review_count": 10, "would_recommend_pct": 98.9, "would_recommend_count": 3946, "would_recommend_flag": "ok", "reviews": [{ "rating": 5, "text": "Such a cool necklace! …", "date": "2026-06-11", "buyer": "Sara", "item_quality": 5, "shipping": 5, "service": null, "photo": null, "seller_response": null }, "…"], "reviews_fetched": 2, "review_themes": [{ "theme": "Appearance", "count": 4082 }, "…"], "review_themes_summary": "Appearance 4082 · Quality 2925 · Shipping & Packaging 1493 · Seller service 1…", "review_avg_subratings": { "item_quality": 5.0, "shipping": 5.0, "seller_customer_service": 5.0 }, "seller_response_rate": "Typically responds within a few hours", "trust_signals": ["8 years on Etsy", "95%+ orders shipped on time", "…"], "star_seller_highlights": ["Smooth shipping: Has a history of shipping on time with tracking.", "…"], "shop_highlight": "Buyers are raving! This shop got multiple 5-star reviews in the past 7 days.", "follower_count": 19493, "demand_nudge": "", "last_sale_date": "2026-06-11", "signal_pecking_order": ["promotion", "free_shipping"], "is_surfaceable": true, "ai_alt_text": "May include: Gold necklace with a geometric design pendant that spells out the name …", "ai_alt_text_all_languages": { "en-US": "…", "en-GB": "…", "fr": "…", "de": "…", "nl": "…", "es": "…", "it": "…", "pl": "…", "pt": "…", "ja": "…" }, "ai_alt_text_language_count": 10, "available_languages": ["en-US", "…"], "image_count": 10, "images": ["https://i.etsystatic.com/14647199/r/il/…/il_fullxfull.6602175450.jpg", "…"], "image_quality": [{ "hue": 60, "saturation": 3, "blur_hash": "L04.9+xZ04-:s=tQkCt4D,%M~pt6", "w": 2000, "h": 2000 }, "…"], "photo_audit": { "image_count": 10, "avg_brightness": 0.59, "primary_brightness": 0.163, "darkest_brightness": 0.163, "dark_image_indexes": [0, "…"], "flags": ["primary photo is dark (weakest thumbnail in search)", "…"] }, "photo_avg_brightness": 0.59, "photo_primary_brightness": 0.163, "photo_dark_count": 2, "photo_flags": "primary photo is dark (weakest thumbnail in search); 2 dark photo(s) may trip Etsy's PhotoTooDark filter", "quantity_available": 2762, "processing_time": "1-3 business days", "ships_from": "Stafford, TX, United States", "ships_to": ["United States", "…"], "free_shipping_threshold": "", "returns_accepted": true, "return_window_days": 30, "return_terms": "Buyers are responsible for return shipping costs. …", "same_shop_catalog": [{ "listing_id": 1070218458, "title": "Unique Womens Style Gift Name Logo Necklace …", "url": "https://www.etsy.com/listing/1070218458/…", "in_cart_count": 5, "is_bestseller": false, "last_sale_date": "2026-06-10" }, "…"], "competitors": [{ "listing_id": 1620394821, "title": "14K Gold Custom Name Chain, Gold Name Necklace …", "shop_name": "Goldmira", "in_cart_count": 59, "is_bestseller": true, "url": "https://www.etsy.com/listing/1620394821/…" }, "…"], "competitor_count": 27, "competitor_avg_carts": 6.1, "top_competitor": "Goldmira (59 carts)" } ``` *** ### Exporting — JSON, not CSV ⚠️ The record is deep (nested arrays: every review, all competitors, the price ladder, per-image data), so **export JSON / JSONL for everything.** Need a spreadsheet? Pick the **"Spreadsheet (CSV-safe)"** view in the Export dialog — flat scalar columns that fold the nested intel into clean summary cells (`review_themes_summary`, `top_competitor`, `photo_flags`, `tags_joined`). Exporting CSV on *"All fields"* explodes the arrays into hundreds of columns — that's tabular formats, not a bug. *** ### Best for **🛍️ Audit your own shop** — point it at your shop name and it deep-dives your top listings: catch your **dark-photo flags**, a **would-recommend %** that's slipped, weak titles, and which of your own listings Etsy actually favors. The diagnostics speak straight to the owner — it's a self-audit in one run. **🥊 Research competitors & the market** — tear down a rival listing or shop: their **per-variation pricing**, **live competitor carts**, **review themes**, and exactly what's working for them. One listing (or shop) in, the whole page out — for **sellers** sharpening their own listings *and* researchers sizing up the field. *** > ⚠️ **Unofficial.** Not affiliated with, endorsed by, or sponsored by Etsy, Inc. "Etsy" is a trademark of Etsy, Inc., used here for descriptive purposes only. # Actor input Schema ## `listings` (type: `array`): Etsy listing URLs or numeric listing IDs to deep-dive. e.g. "https://www.etsy.com/listing/1853337433/..." or "1853337433". ## `shopName` (type: `array`): One or more shop names, @handles, or shop URLs. Each shop's top listings (ranked by live demand) are deep-dived — full intel per listing. Add several to compare shops in one run; the limit below applies PER shop. To instead just list a shop's titles so you can pick, turn on "List titles only". ## `maxShopListings` (type: `integer`): When a shop name is given, how many of its listings to deep-dive (default 10, max 25). Each listing is a deep multi-call fetch, so keep it modest — runs stay fast (10 ≈ ~20s; 25 ≈ ~50s). Each listing is a billed event. ## `listTitlesOnly` (type: `boolean`): For a shop name: emit only the lightweight list of its listings (id + title) so you can pick which to inspect — no per-listing detail. View it on the "Shop listing menu" tab. Leave off to get full per-listing intel. ## `includeReviews` (type: `boolean`): Pull the listing's full review set (up to the limit below) with Etsy's own review themes, star %, and averaged sub-ratings. Off = just the ~4 featured reviews from the listing page (one fewer request). ## `reviewLimit` (type: `integer`): Upper bound on reviews fetched when "Deep reviews" is on. ## `includeCompetitors` (type: `boolean`): Add the listings Etsy treats as visually similar (other shops you compete with), sorted by live cart demand. Off = one fewer request per listing. ## Actor input object example ```json { "listings": [ "https://www.etsy.com/listing/1853337433/50pcs-aesthetic-cottagecore-stickers" ], "shopName": [ "MyhandcraftGoods" ], "maxShopListings": 10, "listTitlesOnly": false, "includeReviews": true, "reviewLimit": 50, "includeCompetitors": true } ``` # 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 = { "listings": [ "https://www.etsy.com/listing/1853337433/50pcs-aesthetic-cottagecore-stickers" ], "shopName": [] }; // Run the Actor and wait for it to finish const run = await client.actor("yumitori/etsy-listing-inspector").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 = { "listings": ["https://www.etsy.com/listing/1853337433/50pcs-aesthetic-cottagecore-stickers"], "shopName": [], } # Run the Actor and wait for it to finish run = client.actor("yumitori/etsy-listing-inspector").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 '{ "listings": [ "https://www.etsy.com/listing/1853337433/50pcs-aesthetic-cottagecore-stickers" ], "shopName": [] }' | apify call yumitori/etsy-listing-inspector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=yumitori/etsy-listing-inspector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Etsy Listing Scraper – Real Product Data, Reviews & Carts", "description": "Etsy listing scraper: x-rays one listing into ~70 fields a search scraper never returns — live carts, every review (sub-ratings + photos), per-variation pricing, true competitors, seller trust, AI alt-text. Read live, never estimated — a full teardown of any listing, yours or a rival's.", "version": "0.1", "x-build-id": "39D5E0s8HMBEeFyVx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yumitori~etsy-listing-inspector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yumitori-etsy-listing-inspector", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/yumitori~etsy-listing-inspector/runs": { "post": { "operationId": "runs-sync-yumitori-etsy-listing-inspector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/yumitori~etsy-listing-inspector/run-sync": { "post": { "operationId": "run-sync-yumitori-etsy-listing-inspector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "listings": { "title": "Listing URLs or IDs", "uniqueItems": true, "type": "array", "description": "Etsy listing URLs or numeric listing IDs to deep-dive. e.g. \"https://www.etsy.com/listing/1853337433/...\" or \"1853337433\".", "items": { "type": "string" } }, "shopName": { "title": "Shop name(s) — deep-dive whole shops", "type": "array", "description": "One or more shop names, @handles, or shop URLs. Each shop's top listings (ranked by live demand) are deep-dived — full intel per listing. Add several to compare shops in one run; the limit below applies PER shop. To instead just list a shop's titles so you can pick, turn on \"List titles only\".", "items": { "type": "string" } }, "maxShopListings": { "title": "Max shop listings to deep-dive", "minimum": 3, "maximum": 25, "type": "integer", "description": "When a shop name is given, how many of its listings to deep-dive (default 10, max 25). Each listing is a deep multi-call fetch, so keep it modest — runs stay fast (10 ≈ ~20s; 25 ≈ ~50s). Each listing is a billed event.", "default": 10 }, "listTitlesOnly": { "title": "List titles only (don't deep-dive)", "type": "boolean", "description": "For a shop name: emit only the lightweight list of its listings (id + title) so you can pick which to inspect — no per-listing detail. View it on the \"Shop listing menu\" tab. Leave off to get full per-listing intel.", "default": false }, "includeReviews": { "title": "Deep reviews + themes", "type": "boolean", "description": "Pull the listing's full review set (up to the limit below) with Etsy's own review themes, star %, and averaged sub-ratings. Off = just the ~4 featured reviews from the listing page (one fewer request).", "default": true }, "reviewLimit": { "title": "Max reviews per listing", "minimum": 1, "maximum": 100, "type": "integer", "description": "Upper bound on reviews fetched when \"Deep reviews\" is on.", "default": 50 }, "includeCompetitors": { "title": "Competitor discovery", "type": "boolean", "description": "Add the listings Etsy treats as visually similar (other shops you compete with), sorted by live cart demand. Off = one fewer request per listing.", "default": true } } }, "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 } } } } } } } } } } ```