Pricing
$30.00/month + usage
Scrape instragram profiles, followers, posts, comments and get valuable information like email addresses, websites, post engagement insights, commented users, etc
Pricing
$30.00/month + usage
Rating
4.3
(6)
Developer
Curious Coder
Actor stats
50
Bookmarked
3.4K
Total users
26
Monthly active users
30 days
Issues response
8 months ago
Last modified
Categories
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You can access the Instagram Scraper - All in one 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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Optional when scraping profiles. <br><br> Follow these steps to get the cookies: <ol> <li>Install [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) chrome extension</li> <li> Login to your instagram account </li> <li> Click on the extension and export the instagram cookies </li> <li>Paste the copied contents here</li> </ol> <p> <a href=https://youtu.be/YuKp9BlVgNM target=_blank><img src=https://www.youtube.com/s/desktop/66e817d4/img/favicon_32x32.png width=16px> Video - How to get cookies (0:14)</a>" }, "cookiesUrl": { "title": "Cookies URL", "type": "string", "description": "Useful when you want to resurrect the runs failed due to expired cookies. You can update the cookies file remotely and resurrect the actor" }, "action": { "title": "Select action to perform", "enum": [ "scrapeProfiles", "scrapeFriendships", "scrapePostsOfUser", "scrapeCommentsOfPost", "scrapeLikesOfPost" ], "type": "string", "description": "Actor will decide what kind of data it needs to scrape and from where it should scrape it based on selected action", "default": "scrapeProfiles" }, "scrapeProfiles.profileList": { "title": "Profile urls or handles", "type": "array", "description": "Eg: https://instagram.com/username or user_name", "items": { "type": "string" } }, "scrapeFriendships.profile": { "title": "Profile url or handle", "type": "string", "description": "" }, "scrapeFriendships.friendshipType": { "title": "What to scrape", "enum": [ "followers", "following" ], "type": "string", "description": "", "default": "followers" }, "scrapeCommentsOfPost.url": { "title": "Link to post", "type": "string", "description": "Click on post's 3 dot menu and click on 'Copy link' option" }, "scrapeLikesOfPost.url": { "title": "Link to post", "type": "string", "description": "Click on post's 3 dot menu and click on 'Copy link' option" }, "scrapePostsOfUser.profile": { "title": "Profile url or handle", "type": "string", "description": "" }, "deepScrape": { "title": "Deep scrape each profiles", "type": "boolean", "description": "Scraper will visit each profile and extract more information", "default": false }, "cursor": { "title": "▶️ Start from cursor", "type": "string", "description": "Use this field if you want to resume scraping from where the scraper stopped last time. You can find this value in default storage of scraper runs under **lastCursor** key", "default": "" }, "count": { "title": "#️⃣ Total number of records required", "type": "integer", "description": "Leave this field empty if you want to scrape all items." }, "proxy": { "title": "🌐 Proxy", "type": "object", "description": "You must use a proxy from your country" }, "minDelay": { "title": "⏱️ Minimum wait duration", "minimum": 1, "type": "integer", "description": "Minimum duration in seconds to wait before scraping next page", "default": 1 }, "maxDelay": { "title": "⏱️ Maximum wait duration", "minimum": 10, "type": "integer", "description": "Maximum duration in seconds to wait before scraping next page", "default": 15 } } }, "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.
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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 - All in one from the options below:
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