Instagram API Scraper
Pricing
Pay per usage
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Scrapio
Maintained by CommunityActor stats
0
Bookmarked
5
Total users
2
Monthly active users
24 days ago
Last modified
Categories
Share
You can access the Instagram API Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "dBnKwIOF1bluadLbH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapio~instagram-api-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapio-instagram-api-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapio~instagram-api-scraper/runs": { "post": { "operationId": "runs-sync-scrapio-instagram-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapio~instagram-api-scraper/run-sync": { "post": { "operationId": "run-sync-scrapio-instagram-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "directUrls" ], "properties": { "directUrls": { "title": "🔗 Instagram URLs or usernames", "type": "array", "description": "✨ Drop one or more Instagram URLs or bare usernames. Supports:\n• 👤 Profiles — `https://www.instagram.com/humansofny/` or just `humansofny`\n• 📷 Posts — `https://www.instagram.com/p/<shortcode>/`\n• 🎬 Reels — `https://www.instagram.com/reel/<shortcode>/`\n• #️⃣ Hashtags — `https://www.instagram.com/explore/tags/<tag>/`", "items": { "type": "string" } }, "resultsType": { "title": "🎯 What to scrape", "enum": [ "posts", "comments", "details", "mentions", "reels", "stories" ], "type": "string", "description": "Choose the output type for each URL above.\n• 📷 **posts** — recent posts from a profile / hashtag / single post\n• 💬 **comments** — public comments under a post or reel\n• 🪪 **details** — profile or post metadata only\n• 🔖 **mentions** — extract `@mentions` from posts, or list hashtag posts\n• 🎬 **reels** — reels feed from a profile\n• 📖 **stories** — story-side fetch (best-effort, public only)", "default": "posts" }, "resultsLimit": { "title": "🔢 Max results per URL", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of items to return for each URL (posts, comments, reels, etc.).", "default": 10 }, "onlyPostsNewerThan": { "title": "📅 Only items newer than", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "📆 Limit how far back to scrape. Pick an absolute date (`YYYY-MM-DD`) or a relative window (`7 days`, `2 months`, `3 years`). Only items posted on or after this cutoff are returned. Leave empty for no filter. All times are UTC." }, "addParentData": { "title": "🧷 Attach parent (source) metadata", "type": "boolean", "description": "If enabled, each result item also includes a `parentData` field with the source profile/hashtag info.", "default": false }, "search": { "title": "🔎 Search query (optional)", "type": "string", "description": "Run an Instagram search instead of (or in addition to) URLs. Leave empty to disable search.", "default": "" }, "searchType": { "title": "🔍 Search type", "enum": [ "user", "hashtag", "place" ], "type": "string", "description": "What the search query targets.", "default": "hashtag" }, "searchLimit": { "title": "🔢 Search results limit", "minimum": 1, "maximum": 250, "type": "integer", "description": "Number of search results to return (1–250).", "default": 1 }, "proxyConfiguration": { "title": "🛡️ Proxy configuration", "type": "object", "description": "🌐 Default: **no proxy** — the actor talks to Instagram directly.\nIf Instagram rejects or blocks requests, the actor automatically escalates: 🔁 datacenter proxy → 🏠 residential proxy (3 retries). Once it falls back to residential, it sticks with residential for the rest of the run.\nYou can override the default by enabling Apify Proxy below.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Instagram API Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: