# Instagram Highlights Scraper 🌟 (`premiumscraper/instagram-highlights-scraper`) Actor πŸ”Scrapes public Instagram highlights from usernames, profile URLs, and direct highlight links. Returns highlight metadata, nested item details for stories, images, and videos, carousel\_media, Music sticker metadata, profile data, highlight IDs, summary counts ✨ Instagram Highlights Scraper 🌟 - **URL**: https://apify.com/premiumscraper/instagram-highlights-scraper.md - **Developed by:** [Premium Scraper](https://apify.com/premiumscraper) (community) - **Categories:** Social media, Developer tools, Other - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 highlights This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## 🌟 Instagram Highlights Scraper Instagram Highlights Scraper is a production-focused actor for collecting public Instagram highlight metadata and highlight item details. Instagram Highlights Scraper is built for profile-driven highlight discovery, direct highlight collection, structured dataset export, and billing-aware output. Instagram Highlights Scraper keeps the exported structure easy to parse while still preserving rich nested detail for analysis, archiving, QA, and automation. Instagram Highlights Scraper accepts usernames, Instagram profile URLs, and direct highlight URLs. Instagram Highlights Scraper returns profile context, highlight identifiers, highlight metadata, summary counters, and ordered highlight item rows. ### ✨ Instagram Highlights Scraper Overview Instagram Highlights Scraper is intended for people who need clean highlight exports without manually tracing Instagram requests. Key strengths: - πŸ“₯ Collects highlight lists from Instagram profiles. - 🎞️ Collects item-level details from direct Instagram highlight URLs. - 🧾 Exports a stable top-level structure for datasets and JSON files. - πŸ’Έ Supports Pay Per Event billing with best-effort export behavior. - 🌐 Supports Apify Residential proxy routing in actor mode. ### 🎯 Instagram Highlights Scraper Accepted Inputs Instagram Highlights Scraper accepts the following source types: - πŸ‘€ Instagram usernames such as `nba` - πŸ”— Instagram profile URLs such as `https://www.instagram.com/nba/` - 🎞️ Direct Instagram highlight URLs such as `https://www.instagram.com/stories/highlights/18048791933723981/` Input behavior: - Profile input: the scraper resolves the profile, collects available highlights, then collects details for each selected highlight. - Direct highlight input: the scraper skips profile highlight discovery and goes straight to that highlight’s detailed data. ### 🧾 Instagram Highlights Scraper Input Fields Instagram Highlights Scraper accepts these actor input fields: | Field | Type | Required | Description | |---|---|---|---| | `username` | array of strings | No | One or more Instagram usernames to resolve into profile highlight collections. | | `instagram_urls` | array | No | One or more Instagram profile URLs or direct highlight URLs. | | `max_highlights` | integer | No | Maximum number of highlights to collect from each profile input. | | `max_items_per_highlight` | integer | No | Maximum number of nested items to keep under each exported highlight. | | `proxyCountry` | string | No | Optional Apify Residential proxy country code used in actor mode. | ### πŸ“¦ Instagram Highlights Scraper Output Overview Instagram Highlights Scraper exports one row per input source. Instagram Highlights Scraper uses a consistent top-level layout so the output is easy to consume in Python, JavaScript, ETL jobs, spreadsheets, no-code tools, and datasets. Each exported row contains: - `input` - `profile` - `highlights_id` - `summary` - `highlights` ### 🧱 Instagram Highlights Scraper Top-Level Fields Instagram Highlights Scraper uses the following top-level fields in each exported row: | Field | Type | Meaning | |---|---|---| | `input` | object | Describes what the scraper received and how that input was interpreted. | | `profile` | object | Profile-level context returned for the row. | | `highlights_id` | array of strings | Ordered highlight identifiers exported in that row. | | `summary` | object | Aggregate counters for the row. | | `highlights` | array of objects | Full highlight entries with nested items. | ### 🧭 Instagram Highlights Scraper Input Object Details Instagram Highlights Scraper uses the `input` object for source-level context. | Field | Type | Meaning | |---|---|---| | `raw` | string | The exact user-facing source value received by the scraper. | | `type` | string | Either `profile` or `highlight`, depending on input classification. | | `profile_url` | string | Present when Instagram Highlights Scraper processes a profile input. | | `highlight_url` | string | Present when Instagram Highlights Scraper processes a direct highlight input. | ### πŸ‘€ Instagram Highlights Scraper Profile Object Details Instagram Highlights Scraper uses the `profile` object for resolved profile context. | Field | Type | Meaning | |---|---|---| | `username` | string or null | The Instagram username associated with the row. | | `user_id` | string or null | The Instagram profile identifier returned for that source. | | `html_title` | string or null | Profile page title text when the row came from profile HTML resolution. | | `profile_url` | string | Present on direct-highlight output when the owner profile URL can be derived from highlight data. | ### πŸ“Š Instagram Highlights Scraper Summary Object Details Instagram Highlights Scraper uses the `summary` object for counters that are easy to consume. | Field | Type | Meaning | |---|---|---| | `highlight_count` | integer | Number of highlights exported in the row. | | `item_count` | integer | Total number of nested items exported across all highlights in the row. | | `pages_fetched` | integer | Present in profile highlight-list output when multiple highlight pages were processed internally. | ### 🎞️ Instagram Highlights Scraper Highlight Entry Details Instagram Highlights Scraper exports each highlight entry as an object with two keys: - `highlight`: top-level metadata for the highlight itself - `items`: ordered nested story or media rows inside that highlight Common `highlight` fields that Instagram Highlights Scraper may return: | Field | Type | Meaning | |---|---|---| | `id` | string | Highlight identifier. | | `title` | string or null | Highlight title shown on Instagram. | | `reel_type` | string or null | Highlight category returned by Instagram. | | `can_reshare` | boolean or null | Whether Instagram indicates the highlight can be reshared. | | `latest_reel_media` | integer or null | Latest media indicator returned for the highlight. | | `cover_media` | object or null | Cover image data. | | `seen` | mixed | Highlight seen-state information when present. | | `user` | object or null | Owner information nested under the highlight metadata. | | `muted` | mixed | Mute state when exposed for that highlight. | | `unviewable_authors_infos` | object or null | Additional platform metadata when present. | Instagram Highlights Scraper keeps raw highlight metadata close to the returned Instagram structure while still wrapping it in a predictable exported layout. ### πŸ–ΌοΈ Instagram Highlights Scraper Item Details Instagram Highlights Scraper exports nested `items` as ordered rows inside each highlight entry. Instagram Highlights Scraper adds `item_index` so item order remains explicit even after transformation. Common item fields that Instagram Highlights Scraper may return: | Field | Type | Meaning | |---|---|---| | `item_index` | integer | 1-based display order added by the scraper. | | `id` | string | Item identifier for the story or media row. | | `pk` | string or integer | Primary content identifier returned by Instagram. | | `code` | string or null | Short content code when present. | | `user` | object or null | Minimal owner context for the item. | | `caption` | object or null | Caption block when Instagram exposes it for the item. | | `accessibility_caption` | string or null | Accessibility text if present. | | `image_versions2` | object or null | Image candidates and image metadata. | | `video_versions` | array or null | Video file variants when the item is a video. | | `video_duration` | number or null | Video duration when present. | | `has_audio` | boolean or null | Whether the item includes audio data. | | `carousel_media` | array or null | Nested carousel media when the item is a carousel. | | `story_music_stickers` | array or null | Music sticker metadata when present. | Instagram Highlights Scraper does not guarantee that every item contains every field. Instagram Highlights Scraper passes through what Instagram exposes for that specific highlight item. ### πŸ’Έ Instagram Highlights Scraper Pay Per Event Behavior Instagram Highlights Scraper uses Pay Per Event with two logical billing levels: - πŸ’Έ Base highlight unit - πŸ’Έ Nested highlight-item unit ### πŸ—ƒοΈ Instagram Highlights Scraper Example Output Shape Instagram Highlights Scraper output is intentionally structured, nested, and analysis-friendly. ```json { "input": { "raw": "https://www.instagram.com/stories/highlights/17880747032818225/", "type": "highlight", "highlight_url": "https://www.instagram.com/stories/highlights/17880747032818225/" }, "profile": { "username": "android", "user_id": "4135497235", "profile_url": "https://www.instagram.com/android/" }, "highlights_id": [ "highlight:17880747032818225" ], "summary": { "highlight_count": 1, "item_count": 26 }, "highlights": [ { "highlight": { "id": "highlight:17880747032818225", "unviewable_authors_infos": null, "user": { "pk": "4135497235", "__typename": "XDTUserDict", "id": "4135497235", "interop_messaging_user_fbid": "116119993104919", "username": "android", "user_id": null, "profile_pic_url": "https://scontent-iad3-2.cdninstagram.com/v/t51.82787-19/684696850_18436027807137236_3831039082514090985_n.jpg?stp=dst-jpg_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4xMDgwLmMyIn0&_nc_ht=scontent-iad3-2.cdninstagram.com&_nc_cat=1&_nc_oc=Q6cZ2gHYEldYnt5675NVh0bCKbDhogoeGnqJTYxzRQ5ts44zrLYSVrslbjP4TJJZllL7N3M&_nc_ohc=NqJnAc4WceUQ7kNvwH1jpcW&_nc_gid=nOIKPG66m7oL2qpRWgIIkQ&edm=ADDLYBMBAAAA&ccb=7-5&oh=00_Af7nqocQ7VyvDoH2f-t7FyYMEh5qSkrRFZxRzMfteLET9g&oe=6A0A9C20&_nc_sid=56bdfd", "is_verified": true, "aigm_account_label_info": null, "transparency_label": null, "transparency_product": null, "transparency_product_enabled": false, "is_private": false }, "seen": null, "reel_type": "highlight_reel", "cover_media": { "cropped_image_version": { "url": "https://scontent-iad3-2.cdninstagram.com/v/t51.71878-15/542807901_1317989429871987_2399744782534775966_n.jpg?stp=c0.247.640.640a_dst-jpg_e15_s150x150_tt6&_nc_ht=scontent-iad3-2.cdninstagram.com&_nc_cat=103&_nc_oc=Q6cZ2gHYEldYnt5675NVh0bCKbDhogoeGnqJTYxzRQ5ts44zrLYSVrslbjP4TJJZllL7N3M&_nc_ohc=9bFHYIO2VuUQ7kNvwH5VjOO&_nc_gid=nOIKPG66m7oL2qpRWgIIkQ&edm=ADDLYBMBAAAA&ccb=7-5&oh=00_Af7PA17HGap_iWaZsb8Lo-wfnBiwZLaB9euUDmH7lUrX0Q&oe=6A0A73B1&_nc_sid=56bdfd" }, "full_image_version": null }, "title": "Android Updates", "can_reshare": true, "latest_reel_media": 1772566251, "muted": null, "__typename": "XDTReelDict" }, "items": [ { "item_index": 1, "pk": "3652050829594342849", "id": "3652050829594342849_4135497235", "has_audio": true, "story_music_stickers": null, "user": { "pk": "4135497235", "id": "4135497235", "interop_messaging_user_fbid": null }, "inventory_source": null, "carousel_media_count": null, "carousel_media": null, "media_overlay_info": null, "caption": null, 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} ], "media_type": 2, "visual_comment_reply_sticker_info": null, "story_bloks_stickers": null, "story_link_stickers": null, "story_hashtags": null, "story_locations": null, "story_bloks_tappables": null, "story_feed_media": null, "text_post_share_to_ig_story_stickers": null, "story_countdowns": null, "story_questions": null, "story_sliders": null, "story_cta": null, "link": null, "reel_media_background": null, "video_duration": 13.728, "preview": null, "expiring_at": null, "custom_list_info": null, "is_paid_partnership": false, "sponsor_tags": null, "wearable_attribution_info": null, "product_type": "story", "reshared_story_media_author": null, "story_app_attribution": null, "has_translation": false, "boosted_status": null, "can_see_insights_as_brand": false, "boost_unavailable_identifier": null, "boost_unavailable_reason": null, "audience": null, "has_liked": null, "viewer_count": null, "viewers": null, "sharing_friction_info": { "should_have_sharing_friction": false, "bloks_app_url": null }, "can_viewer_reshare": null, "ig_media_sharing_disabled": false, "can_reply": false, "can_reshare": true, "__typename": "XDTMediaDict" } ...........And More....................... } ```` ### 🎯 Instagram Highlights Scraper Good Use Cases Instagram Highlights Scraper is a strong fit for: - πŸ“ˆ highlight inventory analysis - πŸ“° media tracking - πŸ—‚οΈ highlight archiving - πŸ§ͺ QA validation of public highlight collections - πŸ€– workflow automation that needs structured highlight output - πŸ“Š dashboard pipelines that summarize highlight volume or item volume ### βœ… Instagram Highlights Scraper Summary Instagram Highlights Scraper gives you a professional way to collect Instagram profile highlights and direct highlight details with structured output, billing-aware export behavior, proxy support in actor mode, safe logging, and rich nested field coverage. If you need highlight-level and item-level data without exposing sensitive request internals, Instagram Highlights Scraper is the intended workflow. # Actor input Schema ## `username` (type: `array`): One or more Instagram usernames such as nba or natgeo. ## `instagram_urls` (type: `array`): Profile URLs such as https://www.instagram.com/nba/ or direct highlight URLs such as https://www.instagram.com/stories/highlights/18048791933723981/. ## `max_highlights` (type: `integer`): How many highlights to export from each profile input. Direct highlight URLs always export a single highlight. ## `max_items_per_highlight` (type: `integer`): How many items to keep under each exported highlight. Items can be stories, images, videos, reels-style clips, or similar media rows. ## `proxyCountry` (type: `string`): Choose the residential proxy exit country for Instagram requests. US is the recommended default for the broadest public coverage. ## Actor input object example ```json { "username": [ "nba" ], "instagram_urls": [ { "url": "https://www.instagram.com/lightroom/" }, { "url": "https://www.instagram.com/stories/highlights/17880747032818225/" } ], "max_highlights": 20, "max_items_per_highlight": 50, "proxyCountry": "US" } ``` # 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 = { "username": [ "nba" ], "instagram_urls": [ { "url": "https://www.instagram.com/lightroom/" }, { "url": "https://www.instagram.com/stories/highlights/17880747032818225/" } ], "max_highlights": 20, "max_items_per_highlight": 50, "proxyCountry": "US" }; // Run the Actor and wait for it to finish const run = await client.actor("premiumscraper/instagram-highlights-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "username": ["nba"], "instagram_urls": [ { "url": "https://www.instagram.com/lightroom/" }, { "url": "https://www.instagram.com/stories/highlights/17880747032818225/" }, ], "max_highlights": 20, "max_items_per_highlight": 50, "proxyCountry": "US", } # Run the Actor and wait for it to finish run = client.actor("premiumscraper/instagram-highlights-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "username": [ "nba" ], "instagram_urls": [ { "url": "https://www.instagram.com/lightroom/" }, { "url": "https://www.instagram.com/stories/highlights/17880747032818225/" } ], "max_highlights": 20, "max_items_per_highlight": 50, "proxyCountry": "US" }' | apify call premiumscraper/instagram-highlights-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=premiumscraper/instagram-highlights-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Highlights Scraper 🌟", "description": "πŸ”Scrapes public Instagram highlights from usernames, profile URLs, and direct highlight links. Returns highlight metadata, nested item details for stories, images, and videos, carousel_media, Music sticker metadata, profile data, highlight IDs, summary counts ✨ Instagram Highlights Scraper 🌟", "version": "1.0", "x-build-id": "aLgxjAqwvprBSfa8x" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/premiumscraper~instagram-highlights-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-premiumscraper-instagram-highlights-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/premiumscraper~instagram-highlights-scraper/runs": { "post": { "operationId": "runs-sync-premiumscraper-instagram-highlights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/premiumscraper~instagram-highlights-scraper/run-sync": { "post": { "operationId": "run-sync-premiumscraper-instagram-highlights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "username": { "title": "Instagram Username(s)", "type": "array", "description": "One or more Instagram usernames such as nba or natgeo.", "items": { "type": "string" } }, "instagram_urls": { "title": "Instagram Profile / Highlight URL(s)", "type": "array", "description": "Profile URLs such as https://www.instagram.com/nba/ or direct highlight URLs such as https://www.instagram.com/stories/highlights/18048791933723981/.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "max_highlights": { "title": "Maximum Highlights Per Profile", "minimum": 1, "type": "integer", "description": "How many highlights to export from each profile input. Direct highlight URLs always export a single highlight.", "default": 20 }, "max_items_per_highlight": { "title": "Maximum Items Per Highlight", "minimum": 1, "type": "integer", "description": "How many items to keep under each exported highlight. Items can be stories, images, videos, reels-style clips, or similar media rows.", "default": 50 }, "proxyCountry": { "title": "Proxy Country", "enum": [ "US", "GB", "AU", "CA", "DE", "FR", "NL", "IT", "ES", "SE", "NO", "DK", "FI", "BE", "AT", "CH", "IE", "PL", "PT", "CZ", "HU", "RO", "GR", "BG", "HR", "SK", "RS", "JP", "KR", "SG", "HK", "TW", "TH", "MY", "ID", "PH", "VN", "IN", "BR", "MX", "AR", "CL", "CO", "PE", "ZA", "NG", "KE", "EG", "SA", "AE", "TR", "IL", "UA", "RU", "BY" ], "type": "string", "description": "Choose the residential proxy exit country for Instagram requests. US is the recommended default for the broadest public coverage.", "default": "US" } } }, "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 } } } } } } } } } } ```