Instagram Scraper Pro
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$1.50 / 1,000 results
Pricing
$1.50 / 1,000 results
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0.0
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Developer
Ani Björkström
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3
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40
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3
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3 months ago
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You can access the Instagram Scraper Pro 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.
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Supports profiles, posts, reels, hashtags, and locations.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Search for users, hashtags, or locations. Use with 'Search Type' to specify what to search for.", "items": { "type": "string" } }, "searchType": { "title": "Search Type", "enum": [ "hashtag", "user", "place" ], "type": "string", "description": "What type of content to search for when using search queries", "default": "hashtag" }, "resultsLimit": { "title": "Results Limit", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum total results to return. Each result costs ~$0.002.", "default": 100 }, "postsPerProfile": { "title": "Posts per Profile", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum posts to extract from each profile", "default": 12 }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "Extract comments from posts. Increases scraping time.", "default": false }, "commentsPerPost": { "title": "Comments per Post", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum comments to extract per post (if comments enabled)", "default": 20 }, "includeReels": { "title": "Include Reels", "type": "boolean", "description": "Extract reels from profiles", "default": true }, "includeStories": { "title": "Include Stories", "type": "boolean", "description": "Extract stories (requires authentication)", "default": false }, "includeTaggedPosts": { "title": "Include Tagged Posts", "type": "boolean", "description": "Extract posts where the user is tagged", "default": false }, "minLikes": { "title": "Minimum Likes", "minimum": 0, "type": "integer", "description": "Only include posts with at least this many likes", "default": 0 }, "minComments": { "title": "Minimum Comments", "minimum": 0, "type": "integer", "description": "Only include posts with at least this many comments", "default": 0 }, "minEngagementRate": { "title": "Minimum Engagement Rate (%)", "minimum": 0, "maximum": 100, "type": "number", "description": "Only include profiles with at least this engagement rate", "default": 0 }, "minFollowers": { "title": "Minimum Followers", "minimum": 0, "type": "integer", "description": "Only include profiles with at least this many followers", "default": 0 }, "maxFollowers": { "title": "Maximum Followers", "minimum": 0, "type": "integer", "description": "Only include profiles with at most this many followers (0 = no limit)", "default": 0 }, "onlyVerified": { "title": "Only Verified Accounts", "type": "boolean", "description": "Only include verified accounts (blue checkmark)", "default": false }, "onlyBusinessAccounts": { "title": "Only Business Accounts", "type": "boolean", "description": "Only include business/creator accounts", "default": false }, "postedAfter": { "title": "Posted After", "type": "string", "description": "Only include posts after this date (YYYY-MM-DD format)" }, "postedBefore": { "title": "Posted Before", "type": "string", "description": "Only include posts before this date (YYYY-MM-DD format)" }, "sessionCookie": { "title": "Session Cookie (sessionid) - REQUIRED", "type": "string", "description": "REQUIRED: Your Instagram session cookie for authentication. Instagram requires login to view profile data. Find it in browser DevTools > Application > Cookies > instagram.com > sessionid" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for avoiding rate limits. Residential proxies recommended for best results." } } }, "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 Scraper Pro from the options below:
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