# InstaViz Core – No‑Login Instagram Public Data Scraper (`tomato_cart/instaviz`) Actor Extract public Instagram profile & posts without login or cookie. Built‑in engagement rate, field selection, JSON/CSV export. First 10 results free each month. - **URL**: https://apify.com/tomato\_cart/instaviz.md - **Developed by:** [Richard](https://apify.com/tomato_cart) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 92.6% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.90 / 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 # Actor input Schema ## `username` (type: `string`): 要分析的 Instagram 用户名（不含 @ 符号）。例如：nike, starbucks, zara ## `limit` (type: `integer`): 最多抓取多少条帖子。超过 200 条时会自动分页和并发获取详情。 ## `fields` (type: `array`): 指定要输出的字段列表。留空则输出全部字段。可选值：id, shortcode, url, timestamp, typename, caption, thumbnail, display_url, like_count, comment_count, engagement_rate, followers_count, is_video, video_url, video_duration, video_views, is_paid_partnership, product_type, sponsor_users, location, owner, carousel_children ## `output_format` (type: `string`): 数据输出格式 ## `proxyConfiguration` (type: `object`): Apify 代理配置。推荐使用 RESIDENTIAL 代理以避免 Instagram 的 IP 屏蔽。 ## `proxy_list` (type: `array`): 自定义 HTTP/HTTPS 代理列表。每行一个，格式: http://user:pass@ip:port。优先级高于 Apify 代理。 ## `max_workers` (type: `integer`): 获取帖子详情时的并发请求数。建议 5-15，过高可能触发限速。 ## Actor input object example ```json { "username": "nike", "limit": 100, "fields": [ "shortcode", "like_count", "comment_count", "engagement_rate", "caption", "typename", "is_paid_partnership", "timestamp" ], "output_format": "json", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "proxy_list": [], "max_workers": 10 } ```` # 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": "nike", "limit": 100, "fields": [ "shortcode", "like_count", "comment_count", "engagement_rate", "caption", "typename", "is_paid_partnership", "timestamp" ], "output_format": "json", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "proxy_list": [], "max_workers": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("tomato_cart/instaviz").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 = { "username": "nike", "limit": 100, "fields": [ "shortcode", "like_count", "comment_count", "engagement_rate", "caption", "typename", "is_paid_partnership", "timestamp", ], "output_format": "json", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, "proxy_list": [], "max_workers": 10, } # Run the Actor and wait for it to finish run = client.actor("tomato_cart/instaviz").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 '{ "username": "nike", "limit": 100, "fields": [ "shortcode", "like_count", "comment_count", "engagement_rate", "caption", "typename", "is_paid_partnership", "timestamp" ], "output_format": "json", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "proxy_list": [], "max_workers": 10 }' | apify call tomato_cart/instaviz --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tomato_cart/instaviz", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "InstaViz Core – No‑Login Instagram Public Data Scraper", "description": "Extract public Instagram profile & posts without login or cookie. Built‑in engagement rate, field selection, JSON/CSV export. First 10 results free each month.", "version": "0.0", "x-build-id": "YSdY5XzfevoMnmN7J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tomato_cart~instaviz/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tomato_cart-instaviz", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tomato_cart~instaviz/runs": { "post": { "operationId": "runs-sync-tomato_cart-instaviz", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tomato_cart~instaviz/run-sync": { "post": { "operationId": "run-sync-tomato_cart-instaviz", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username" ], "properties": { "username": { "title": "Instagram 用户名", "minLength": 1, "type": "string", "description": "要分析的 Instagram 用户名（不含 @ 符号）。例如：nike, starbucks, zara" }, "limit": { "title": "最大抓取帖子数", "minimum": 1, "maximum": 5000, "type": "integer", "description": "最多抓取多少条帖子。超过 200 条时会自动分页和并发获取详情。", "default": 100 }, "fields": { "title": "输出字段", "type": "array", "description": "指定要输出的字段列表。留空则输出全部字段。可选值：id, shortcode, url, timestamp, typename, caption, thumbnail, display_url, like_count, comment_count, engagement_rate, followers_count, is_video, video_url, video_duration, video_views, is_paid_partnership, product_type, sponsor_users, location, owner, carousel_children", "items": { "type": "string" } }, "output_format": { "title": "输出格式", "enum": [ "json", "csv" ], "type": "string", "description": "数据输出格式", "default": "json" }, "proxyConfiguration": { "title": "代理配置", "type": "object", "description": "Apify 代理配置。推荐使用 RESIDENTIAL 代理以避免 Instagram 的 IP 屏蔽。", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "proxy_list": { "title": "自定义代理列表（可选）", "type": "array", "description": "自定义 HTTP/HTTPS 代理列表。每行一个，格式: http://user:pass@ip:port。优先级高于 Apify 代理。", "items": { "type": "string" } }, "max_workers": { "title": "并发线程数", "minimum": 1, "maximum": 30, "type": "integer", "description": "获取帖子详情时的并发请求数。建议 5-15，过高可能触发限速。", "default": 10 } } }, "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 } } } } } } } } } } ```