# Instagram Comments Scraper (`automation-lab/instagram-comments-scraper`) Actor Extract comments from any public Instagram post. Get usernames, text, timestamps, like counts, reply counts, and verified status. No login required. Export as JSON, CSV, or Excel. - **URL**: https://apify.com/automation-lab/instagram-comments-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Social media - **Stats:** 7 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Instagram Comments Scraper ### What does Instagram Comments Scraper do? **Instagram Comments Scraper** extracts the top comments from any public Instagram post or reel. Paste one or more post URLs and get structured data including the **comment text, username, timestamp, like count, reply count, and verified status**. No login or API key required. The scraper extracts the **most popular comments** that Instagram embeds in the public post page -- typically **10-20 comments per post**. This includes the highest-engagement comments with the most likes. Export results as **JSON, CSV, or Excel** with one click. Unlike general-purpose Instagram scrapers, this tool is **purpose-built for comment extraction** with dedicated output fields, optimized pricing, and fast execution. ### Who is Instagram Comments Scraper for? This section answers who is it for and where Instagram comment extraction fits into common social listening, research, and reporting workflows. 📊 **Brand managers and marketing teams** - Monitor brand mentions and sentiment in post comments - Track competitor engagement and audience reactions - Collect user feedback on product launches and campaigns 🔬 **Researchers and data analysts** - Analyze public discourse and opinion trends on Instagram - Study engagement patterns across influencer content - Build sentiment analysis datasets from comment text 📈 **Social media agencies** - Generate engagement reports for clients - Identify top commenters and brand advocates - Monitor comment-based customer support conversations 🤖 **Developers and data engineers** - Feed comment data into NLP pipelines and AI models - Build custom monitoring dashboards via the API - Integrate Instagram comment data with CRM or analytics tools ### Why use Instagram Comments Scraper? ✅ **No login required** — extracts comments from public posts without any Instagram account or session cookie ✅ **Dedicated comment tool** — purpose-built for comments with optimized output fields and pricing, not a general scraper with comments as an afterthought ✅ **Pay only for what you scrape** — pay-per-event pricing starting at $0.0023/comment (Free tier), with volume discounts on higher plans ✅ **Full comment data** — get usernames, text, timestamps, likes, reply counts, verified badges, and profile pictures ✅ **Reply thread support** — optionally include child comments (replies) alongside top-level comments ✅ **API access** — call programmatically from Node.js, Python, or any language via REST API ✅ **Scheduled runs** — set up recurring scrapes to monitor comments over time ✅ **Export anywhere** — download as JSON, CSV, or Excel, or push to Google Sheets, webhooks, and 5,000+ apps via Zapier/Make ### What data can you extract? Each comment includes the following fields: | Field | Type | Description | |-------|------|-------------| | `id` | string | Unique comment ID | | `text` | string | Full comment text | | `username` | string | Commenter's Instagram handle | | `userId` | string | Commenter's user ID | | `fullName` | string | Commenter's display name | | `profilePicUrl` | string | URL to commenter's profile picture | | `isVerified` | boolean | Whether the commenter has a verified badge | | `likesCount` | number | Number of likes on the comment | | `repliesCount` | number | Number of replies to the comment | | `isReply` | boolean | Whether this is a reply to another comment | | `parentCommentId` | string | ID of the parent comment (for replies) | | `postShortCode` | string | Instagram post shortcode | | `postUrl` | string | Full URL of the source post | | `timestamp` | string | When the comment was posted (ISO 8601) | | `scrapedAt` | string | When the data was collected | ### How much does it cost to scrape Instagram comments? This Actor uses **pay-per-event** pricing — you pay only for what you scrape. No monthly subscription. All platform costs are **included**. | | Free | Bronze ($49/mo) | Silver ($149/mo) | Gold ($499/mo) | Platinum | Diamond | |---|---|---|---|---|---|---| | **Per comment** | $0.0023 | $0.002 | $0.0015 | $0.001 | $0.0008 | $0.00056 | | **1,000 comments** | $2.30 | $2.00 | $1.50 | $1.00 | $0.80 | $0.56 | | **10,000 comments** | $23.00 | $20.00 | $15.00 | $10.00 | $8.00 | $5.60 | Higher-tier plans get additional volume discounts. A one-time start fee of $0.005 applies per run. **Real-world cost examples:** | Scenario | Posts | Comments | Duration | Cost (Free tier) | |---|---|---|---|---| | Single post | 1 | ~15 | ~10s | ~$0.04 | | Batch of 10 posts | 10 | ~150 | ~2min | ~$0.40 | | Batch of 50 posts | 50 | ~750 | ~10min | ~$1.98 | With the **free plan** ($5 in credits), you can scrape comments from approximately **150+ posts** at no cost. ### How to scrape Instagram comments 1. Go to [Instagram Comments Scraper](https://apify.com/automation-lab/instagram-comments-scraper) on the Apify Store 2. Click **Start for free** to open the Actor in Apify Console 3. Paste one or more Instagram post or reel URLs into the **Post URLs** field 4. Adjust the **Max comments per post** limit (default: 20) 5. Optionally enable **Include reply threads** to get child comments 6. Click **Start** and wait for the run to finish 7. Download your data as JSON, CSV, or Excel from the **Dataset** tab **Example input for a single post:** ```json { "postUrls": ["https://www.instagram.com/p/DVOyCluEVBg/"], "maxCommentsPerPost": 100 } ```` **Example input for multiple posts with replies:** ```json { "postUrls": [ "https://www.instagram.com/p/DVOyCluEVBg/", "https://www.instagram.com/reel/DU9NsLBvjPj/" ], "maxCommentsPerPost": 200, "includeReplies": true, "sortBy": "newest" } ``` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `postUrls` | array | *required* | Instagram post or reel URLs to scrape comments from | | `maxCommentsPerPost` | integer | 100 | Maximum comments to extract per post (0 = unlimited) | | `includeReplies` | boolean | false | Include reply threads (child comments) | | `sortBy` | string | "popular" | Sort order: "popular" (most liked) or "newest" | | `proxyCountry` | string | "US" | Proxy country code for geo-targeted results | ### Output example ```json { "id": "18116832733656232", "text": "This is amazing! 🔥", "username": "johndoe", "userId": "53822734240", "fullName": "John Doe", "profilePicUrl": "https://scontent.cdninstagram.com/...", "isVerified": false, "likesCount": 42, "repliesCount": 3, "isReply": false, "parentCommentId": null, "postShortCode": "DVOyCluEVBg", "postUrl": "https://www.instagram.com/p/DVOyCluEVBg/", "timestamp": "2026-04-04T09:49:44.000Z", "scrapedAt": "2026-04-04T10:51:37.580Z" } ``` ### Tips for best results 💡 **Start small** — test with one post and a low comment limit before running large batches 💡 **Use popular sort** for sentiment analysis — the most-liked comments often represent the majority opinion 💡 **Use newest sort** for monitoring — catch new comments as they come in with scheduled runs 💡 **Enable replies** only when needed — replies add to the total comment count and cost 💡 **Schedule recurring runs** for ongoing monitoring — set up daily or weekly scrapes to track comment trends on specific posts 💡 **Combine with other scrapers** — use [Instagram Scraper](https://apify.com/automation-lab/instagram-scraper) to find post URLs, then feed them into this actor for detailed comment extraction ### Integrations 📊 **Instagram Comments → Google Sheets** Export comment data directly to a Google Sheet for collaborative analysis. Set up a scheduled run to append new comments daily. 🔔 **Instagram Comments → Slack/Discord** Get notified when new comments appear on monitored posts. Use webhooks to push alerts to your team channel. ⚡ **Instagram Comments → Make/Zapier** Build automated workflows: extract comments → run sentiment analysis → update CRM → alert team on negative feedback. 📅 **Scheduled monitoring** Set up recurring runs to track comment activity over time. Compare comment volume and sentiment across posts, campaigns, or time periods. 🔗 **Webhooks** Send results to any URL endpoint for real-time processing. Useful for feeding comment data into custom dashboards or ML pipelines. ### API usage with the Apify API You can call Instagram Comments Scraper programmatically from any language. #### Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); const run = await client.actor('automation-lab/instagram-comments-scraper').call({ postUrls: ['https://www.instagram.com/p/DVOyCluEVBg/'], maxCommentsPerPost: 100, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_APIFY_TOKEN') run = client.actor('automation-lab/instagram-comments-scraper').call(run_input={ 'postUrls': ['https://www.instagram.com/p/DVOyCluEVBg/'], 'maxCommentsPerPost': 100, }) items = client.dataset(run['defaultDatasetId']).list_items().items print(items) ``` #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/automation-lab~instagram-comments-scraper/runs?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "postUrls": ["https://www.instagram.com/p/DVOyCluEVBg/"], "maxCommentsPerPost": 100 }' ``` ### Use with AI agents via MCP Instagram Comments Scraper is available as a tool for AI assistants that support the [Model Context Protocol (MCP)](https://docs.apify.com/platform/integrations/mcp). Add the Apify MCP server to your AI client — this gives you access to all Apify actors, including this one: #### Setup for Claude Code ```bash claude mcp add --transport http apify "https://mcp.apify.com" ``` #### Setup for Claude Desktop, Cursor, or VS Code Add this to your MCP config file: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com" } } } ``` Your AI assistant will use OAuth to authenticate with your Apify account on first use. #### Example prompts Once connected, try asking your AI assistant: - "Use automation-lab/instagram-comments-scraper to get all comments from https://www.instagram.com/p/DVOyCluEVBg/" - "Scrape comments from these 5 Instagram posts and summarize the overall sentiment" - "Extract the top 50 most-liked comments from this viral Instagram reel and identify common themes" Learn more in the [Apify MCP documentation](https://docs.apify.com/platform/integrations/mcp). ### Legality: is it legal to scrape Instagram comments? Web scraping of publicly available data is generally legal according to the [US Ninth Circuit Court ruling](https://www.eff.org/deeplinks/2022/04/scraping-public-websites-still-isnt-crime-appeals-court-confirms) (hiQ Labs v. LinkedIn, 2022). This scraper only accesses **public posts** — it does not bypass login walls, access private accounts, or use authentication tokens. Always use scraped data responsibly: - Respect Instagram's Terms of Service - Do not use data for harassment, spam, or unauthorized profiling - Comply with GDPR and other applicable data protection regulations - Consider the privacy implications of processing personal data at scale ### FAQ **How fast is Instagram Comments Scraper?** The scraper typically processes each post in about 5-10 seconds. A batch of 10 posts completes in about 2 minutes including rate-limiting delays. **How many comments does it return per post?** The scraper extracts the top 10-20 comments per post -- these are the most popular comments that Instagram shows by default on the public post page. Instagram requires authentication for deeper comment pagination, so this scraper focuses on the highest-engagement comments available without login. **How many comments can I scrape for free?** With the free plan ($5 in credits), you can scrape comments from approximately 150+ posts at no cost. **Does this work without an Instagram account?** Yes! Instagram Comments Scraper works entirely without login. It extracts comments from public posts using Instagram's web interface -- no session cookie or API key needed. **Why do I get fewer comments than the post shows?** Instagram only embeds the top ~10-20 comments in the public post page. Accessing all comments requires an authenticated Instagram session, which this scraper does not use. The returned comments are the most popular (highest-liked) ones. If comments are disabled on a post, the scraper will return 0 comments for that post. **Why do some fields show null values?** Some fields like `fullName` or `profilePicUrl` may be null if the commenter has a minimal profile. The `parentCommentId` is null for top-level comments and only populated for replies when `includeReplies` is enabled. **How is this different from the official Instagram API?** The official Instagram Graph API requires a Facebook Business account, app review, and only allows access to your own posts' comments. This scraper works on any public post without any API credentials or account setup. ### Related social media scrapers Explore more social media data extraction tools from automation-lab: - 📸 [Instagram Scraper](https://apify.com/automation-lab/instagram-scraper) — Extract profiles, posts, reels, hashtags, and mentions - 🎵 [TikTok Scraper](https://apify.com/automation-lab/tiktok-scraper) — Scrape TikTok videos, profiles, and hashtags - 🎵 [TikTok Sound Scraper](https://apify.com/automation-lab/tiktok-sound-scraper) — Extract videos using specific TikTok sounds - 🐦 [Twitter/X Scraper](https://apify.com/automation-lab/twitter-scraper) — Collect tweets, profiles, and search results - ▶️ [YouTube Scraper](https://apify.com/automation-lab/youtube-scraper) — Extract video data, channels, and search results # Actor input Schema ## `postUrls` (type: `array`): Add Instagram post or reel URLs. Accepts formats like https://www.instagram.com/p/CODE/ or https://www.instagram.com/reel/CODE/ ## `maxCommentsPerPost` (type: `integer`): Maximum number of comments to extract from each post. Set to 0 for unlimited. First page returns ~20 comments without extra requests. ## `includeReplies` (type: `boolean`): Extract replies (child comments) in addition to top-level comments. Each reply counts as a separate comment. ## `sortBy` (type: `string`): Choose how comments are ordered. 'Popular' shows most-liked comments first. 'Newest' shows most recent first. ## `proxyCountry` (type: `string`): Country code for the proxy (e.g., US, GB, DE). Instagram may return different results based on location. ## Actor input object example ```json { "postUrls": [ "https://www.instagram.com/p/DVOyCluEVBg/" ], "maxCommentsPerPost": 5, "includeReplies": false, "sortBy": "popular", "proxyCountry": "US" } ``` # Actor output Schema ## `overview` (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 = { "postUrls": [ "https://www.instagram.com/p/DVOyCluEVBg/" ], "maxCommentsPerPost": 5, "includeReplies": false, "sortBy": "popular", "proxyCountry": "US" }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/instagram-comments-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 = { "postUrls": ["https://www.instagram.com/p/DVOyCluEVBg/"], "maxCommentsPerPost": 5, "includeReplies": False, "sortBy": "popular", "proxyCountry": "US", } # Run the Actor and wait for it to finish run = client.actor("automation-lab/instagram-comments-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 '{ "postUrls": [ "https://www.instagram.com/p/DVOyCluEVBg/" ], "maxCommentsPerPost": 5, "includeReplies": false, "sortBy": "popular", "proxyCountry": "US" }' | apify call automation-lab/instagram-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/instagram-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Comments Scraper", "description": "Extract comments from any public Instagram post. Get usernames, text, timestamps, like counts, reply counts, and verified status. No login required. Export as JSON, CSV, or Excel.", "version": "0.1", "x-build-id": "5cwhAcrDL1JVVLm0T" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~instagram-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-instagram-comments-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~instagram-comments-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-instagram-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~instagram-comments-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-instagram-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "postUrls" ], "properties": { "postUrls": { "title": "Post URLs", "type": "array", "description": "Add Instagram post or reel URLs. Accepts formats like https://www.instagram.com/p/CODE/ or https://www.instagram.com/reel/CODE/", "items": { "type": "string" } }, "maxCommentsPerPost": { "title": "Max comments per post", "minimum": 0, "type": "integer", "description": "Maximum number of comments to extract from each post. Set to 0 for unlimited. First page returns ~20 comments without extra requests.", "default": 20 }, "includeReplies": { "title": "Include reply threads", "type": "boolean", "description": "Extract replies (child comments) in addition to top-level comments. Each reply counts as a separate comment.", "default": false }, "sortBy": { "title": "Sort comments by", "enum": [ "popular", "newest" ], "type": "string", "description": "Choose how comments are ordered. 'Popular' shows most-liked comments first. 'Newest' shows most recent first.", "default": "popular" }, "proxyCountry": { "title": "Proxy country", "type": "string", "description": "Country code for the proxy (e.g., US, GB, DE). Instagram may return different results based on location.", "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 } } } } } } } } } } ```