# Instagram Profile Scraper (`excitable_pickle/instagram-profile-scraper`) Actor

Scrape all Instagram profile info. Just add Instagram usernames, IDs or URLs and extract name, join date, number of followers,  location, bio, website, related profiles, video\&post count, latest posts. Export scraped data, schedule scraper via API, and integrate with other tools or AI workflows.

- **URL**: https://apify.com/excitable\_pickle/instagram-profile-scraper.md
- **Developed by:** [Pavan](https://apify.com/excitable_pickle) (community)
- **Categories:** Social media, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

> **🚀 New feature: About profile**. You can now scrape information about when the user joined Instagram, got verified, where they are from, or how many times they’ve changed the username. Available as a paid add-on. Try it out and share your feedback in a review!

### What can Instagram Profile Scraper do?

Our Instagram Profile Scraper **scrape data from public Instagram profiles** beyond what the Instagram API allows. Just **add one or more Instagram usernames, profile URLs, or profile IDs**, and you're ready to:

👤 Extract **Instagram** **data at scale from any public profile** with no limits on requests

🌐 Get **contact details, links, and websites**, if listed in bio

✅ **Categorize an account by type**: business/private status, category, number of followers/follows, check verification, content stats, and join date

🪢 Map out **related accounts to get a broader view of the niche**

🎥 Get an overview of the **most recent content and its stats** – posts, videos, highlights reels, plus the latest 12 posts with details

⬇️ **Download Instagram basic profile** data in JSON, CSV, Excel, or other formats

🦾 Export posts data via SDKs (Python & Node.js), use **API Endpoints & webhooks**

🤳 Explore our other [social media scrapers](https://apify.com/store/categories/social-media-scrapers?search=instagram\&managedBy=APIFY)

You can use Instagram Profile Scraper to discover creators and businesses by analyzing bios, follower metrics, posting activity, and collecting any contact details or websites they’ve shared. Other options include market research and tracking competitors.

### What data can I scrape from Instagram profiles?

Using this Instagram Profile API, you will be able to extract the following Instagram user data:

<table>
<tr>
<td>👤 Profile name</td>
<td>🔗 Profile URL</td>
<td>🆔 Profile ID</td>
<td>📝 Profile bio</td>
</tr>
<tr>
<td>🌐 External URLs (websites)</td>
<td>👥 Number of profile followers</td>
<td>➡️ Number of profile follows</td>
<td>🧑‍🤝‍🧑 Related profiles</td>
</tr>
<tr>
<td>📍 Location (if available)</td>
<td>🔁 Username change count</td>
<td>🕒 Join date</td>
<td>🆕 Is the user recently joined?</td>
</tr>
<tr>
<td>🎥 Total video count</td>
<td>📮 Total posts count</td>
<td>📚 Highlight reels count</td>
<td>🪪 Facebook ID</td>
</tr>
<tr>
<td>✅ Is user verified</td> 
<td>⏱️ When the account got verified</td>
<td>💼 Is it a business or private account?</td>
<td>🏢 Business category</td>
</tr>
<tr>
<td>📷 Profile pic URL</td>
<td>📯 Latest image posts, carousels, and videos (12) with details</td>
<td>📽️ Number of IGTV videos</td>
<td>📈 Latest IGTV videos (12) with details</td>
</tr>
</table>

> If you're not sure which profiles to extract data from, let's find them first. To **find the right profiles to scrape for a niche**, first use the keyword search by users in 🔗 [Instagram Search Scraper](https://apify.com/apify/instagram-search-scraper). You can then reuse the resulting list as an input for Instagram Profile Scraper.

> And another tip: since both Meta platforms users share a username, you can **extract data from both Instagram and Threads at once**. To do so, check out our 🔗 [Threads Profile Scraper](https://apify.com/apify/threads-profile-api-scraper).

### How to scrape data from Instagram profiles?

Instagram Profile Scraper is designed to be fast and easy to use, so there aren't too many parameters or settings. Just follow the steps below:

1. [Create](https://console.apify.com/actors/dSCLg0C3YEZ83HzYX/) a free Apify account.
2. Open [Instagram Profile Scraper](https://apify.com/apify/instagram-profile-scraper).
3. Add **one or multiple Instagram usernames, profile URLs, or profile IDs.**
4. Click "Save & Start" and wait for the datasets to be extracted.
5. Download your data in JSON, XML, CSV, Excel, or HTML.

If you want more guidance on how to use Instagram Profile Scraper, here's a full video that explains it:

https://www.youtube.com/watch?v=eUOvDzLHNek

For more details, check out our tutorial on [how to scrape data from Instagram](https://blog.apify.com/scrape-instagram-posts-comments-and-more-21d05506aeb3/), full of tips and tricks.

> If you would like to scrape not only profile info but also **profile's posts or reels** — using usernames as input as well — go for our 🔗 [Instagram Post Scraper](https://apify.com/apify/instagram-post-scraper) or 🔗 [Instagram Reels Scraper](https://apify.com/apify/instagram-reel-scraper), respectively.

### How much will scraping Instagram profiles cost you?

Instagram Profile Scraper works on our pay-per-event (PPE) model, meaning you’re charged for each result you receive. On the Free plan, the price is $2.60 per 1,000 results ($0.0026 per result), giving you **nearly 2,000 results for free with the $5 credit.**

On paid plans, you get discounted rates and more monthly credit. For example, on the Starter plan, it costs just $2.30 per 1,000 results, which lets you scrape **over 12,600 results per month**. Check the [pricing tab](https://apify.com/apify/instagram-profile-scraper/pricing) for full details.

### ⬇️ Input

To use this Instagram account scraper, **enter either a profile URL, Instagram username, or profile ID.** You can enter them one by one or all at once using the **Bulk edit** function.

<a href="https://console.apify.com/actors/dSCLg0C3YEZ83HzYX/">
<img src="https://github.com/apify-projects/actor-readme-images/blob/master/instagram-profile-scraper-input.png?raw=true" alt="Instagram Profile Scraper input" style="width:70%;">
</a>

### ⬆️ Output

The results will be wrapped into a dataset, which you can find in the **Storage** tab. Here's an excerpt from the dataset you'd get if you apply the input parameters above:

<a href="https://console.apify.com/actors/dSCLg0C3YEZ83HzYX/">
<img src="https://github.com/apify-projects/actor-readme-images/blob/master/profile%20instagram%20scraping%20dataset.png?raw=true" alt="Instagram Profile Scraper output" style="width:100%;">
</a>

Besides the table view, you can also view your data as JSON, as well as download it as CSV, XML, Excel file, or through an API. Here’s an abridged version of the output for NASA’s profile.

#### 👤 Extracted Instagram Profile data sample

You can export the data in common formats such as JSON, XML, CSV, or Excel. The JSON sample below is shortened for easier viewing. For details about extensive profile dataset, check the ❓[FAQ](https://apify.com/apify/instagram-profile-scraper#faq).

```json
[
	{
  "inputUrl": "https://www.instagram.com/nasa",
  "id": "528817151",
  "username": "nasa",
  "url": "https://www.instagram.com/nasa",
  "fullName": "NASA",
  "biography": "🚀 🌎  Exploring the universe and our home planet. Verification: nasa.gov/socialmedia",
  "about": {
    "accounts_with_shared_followers": null,
    "country": "United States",
    "date_joined": "August 2013",
    "date_joined_as_timestamp": 1375315200,
    "date_verified": null,
    "date_verified_as_timestamp": null,
    "former_usernames": 0,
    "id": 528817151,
    "is_verified": true,
    "username": "nasa"
  },
  "followersCount": 96323377,
  "followsCount": 80,
  "postsCount": 4519,
  "highlightReelCount": 7,
  "igtvVideoCount": 171,
  "isBusinessAccount": true,
  "joinedRecently": false,
  "hasChannel": false,
  "businessCategoryName": "Government Agencies",
  "private": false,
  "verified": true,
  "externalUrl": "https://www.nasa.gov/",
  "externalUrlShimmed": "https://l.instagram.com/?u=https%3A%2F%2Fwww.nasa.gov%2F&e=AT1ZDjgJaY0R3J_5BPBhAkOVzpnYahFjiPfJyjhlnLEYYuNsNcNWRb82YQFgO2KIr0y4-5RQxLwKrzkenyPD_X8lCwG1152r",
  "externalUrls": [
    {
      "title": "Launches & Landings",
      "lynx_url": "https://l.instagram.com/?u=http%3A%2F%2Fnasa.gov%2Fevents&e=AT3hgq2YyF3WlvjYHI2JwZbU2zCrM0mxkyXi6ng_rLM013yQVU42kfTDkEniCuGcLymBVrWAI63WDRN-mGG9ZI1iRN6E1Gza",
      "url": "http://nasa.gov/events",
      "link_type": "external"
    },
    {
      "title": "NASA+",
      "lynx_url": "https://l.instagram.com/?u=https%3A%2F%2Fplus.nasa.gov%2F&e=AT3MvU7lsdJzSS0VVs6unWL8xGF20bNKMeveMEAdPytH_L_Jrxjv2I1xGoawVT8PbKpLj4nteArXX001dmsvqfAKIks5kC-z",
      "url": "https://plus.nasa.gov",
      "link_type": "external"
    },
  ],
   "profilePicUrl": "https://scontent-lga3-2.cdninstagram.com/v/t51.2885-19/29090066_159271188110124_1152068159029641216_n.jpg?stp=dst-jpg_e0_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4xMDgwLmMyIn0&_nc_ht=scontent-lga3-2.cdninstagram.com&_nc_cat=1&_nc_oc=Q6cZ2QEWnPDliR8l8O8O6lrq-a6UQkmkKfPOZ27sjRSLF1eSNuG_DZx7QTwof5IFZW-nYOQ&_nc_ohc=Gh65bXDHKlwQ7kNvwEfYy1t&_nc_gid=AZnTjfD_Q7X_TSnVbEhOGA&edm=AOQ1c0wBAAAA&ccb=7-5&oh=00_AfZHQIUQ7a4Apf3Of5gBsl8WIjOeYtUD5y5qsjSP0QTIaw&oe=68BDE429&_nc_sid=8b3546",
  "profilePicUrlHD": "https://scontent-lga3-2.cdninstagram.com/v/t51.2885-19/29090066_159271188110124_1152068159029641216_n.jpg?stp=dst-jpg_s320x320_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4xMDgwLmMyIn0&_nc_ht=scontent-lga3-2.cdninstagram.com&_nc_cat=1&_nc_oc=Q6cZ2QEWnPDliR8l8O8O6lrq-a6UQkmkKfPOZ27sjRSLF1eSNuG_DZx7QTwof5IFZW-nYOQ&_nc_ohc=Gh65bXDHKlwQ7kNvwEfYy1t&_nc_gid=AZnTjfD_Q7X_TSnVbEhOGA&edm=AOQ1c0wBAAAA&ccb=7-5&oh=00_AfZy8pFx0aFMB6vCGqyOTixf4xcabDbR696Nk9So5zGS5A&oe=68BDE429&_nc_sid=8b3546",
  "relatedProfiles": [
    {
      "id": "953293389",
      "full_name": "International Space Station",
      "is_private": false,
      "is_verified": true,
      "profile_pic_url": "https://scontent-lga3-2.cdninstagram.com/v/t51.2885-19/524387219_18515253022013390_8734863048221656878_n.jpg?stp=dst-jpg_e0_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4zNjAuYzIifQ&_nc_ht=scontent-lga3-2.cdninstagram.com&_nc_cat=1&_nc_oc=Q6cZ2QEWnPDliR8l8O8O6lrq-a6UQkmkKfPOZ27sjRSLF1eSNuG_DZx7QTwof5IFZW-nYOQ&_nc_ohc=n5Q3j5RGpyUQ7kNvwEuQbjr&_nc_gid=AZnTjfD_Q7X_TSnVbEhOGA&edm=AOQ1c0wBAAAA&ccb=7-5&oh=00_AfYdsrSuRePFjZmEZ1cVxFBbv8ZG6-5GBxUh0AjU08Imeg&oe=68BDB283&_nc_sid=8b3546",
      "username": "iss"
    },
    {
      "id": "15230646745",
      "full_name": "NASA en Español",
      "is_private": false,
      "is_verified": true,
      "profile_pic_url": "https://scontent-lga3-2.cdninstagram.com/v/t51.2885-19/89602193_2056296544517035_8140307827425017856_n.jpg?stp=dst-jpg_e0_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4xMDgwLmMyIn0&_nc_ht=scontent-lga3-2.cdninstagram.com&_nc_cat=107&_nc_oc=Q6cZ2QEWnPDliR8l8O8O6lrq-a6UQkmkKfPOZ27sjRSLF1eSNuG_DZx7QTwof5IFZW-nYOQ&_nc_ohc=bmfcz6_-JfcQ7kNvwE6o78-&_nc_gid=AZnTjfD_Q7X_TSnVbEhOGA&edm=AOQ1c0wBAAAA&ccb=7-5&oh=00_AfZNjVvfjFKu1YoDP7FLfQL5VAK1SPK-5034xn0D0zKPmQ&oe=68BDC908&_nc_sid=8b3546",
      "username": "nasa_es"
    },
    {
      "id": "6372512764",
      "full_name": "Rubin Observatory",
      "is_private": false,
      "is_verified": false,
      "profile_pic_url": "https://scontent-lga3-3.cdninstagram.com/v/t51.2885-19/129172974_838595436887238_6606102628994764123_n.jpg?stp=dst-jpg_e0_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4zMjAuYzIifQ&_nc_ht=scontent-lga3-3.cdninstagram.com&_nc_cat=106&_nc_oc=Q6cZ2QEWnPDliR8l8O8O6lrq-a6UQkmkKfPOZ27sjRSLF1eSNuG_DZx7QTwof5IFZW-nYOQ&_nc_ohc=auPF0Imwh6sQ7kNvwED04jo&_nc_gid=AZnTjfD_Q7X_TSnVbEhOGA&edm=AOQ1c0wBAAAA&ccb=7-5&oh=00_AfZ9C8VqyMuMVrOyKcG94AFFAwVlf1TI4PbEOJvUtIl-bw&oe=68BDDD5E&_nc_sid=8b3546",
      "username": "rubin_observatory"
    }
  ],
  "latestPosts": [
    {
      "id": "3697661021377407101",
      "type": "Sidecar",
      "shortCode": "DNQuxufAih9",
      "caption": "Under the sea🪸⁣\n ⁣\nIn 2020, @NASAHubble released this image, nicknamed the “Cosmic Reef,” to celebrate 30 years in space. It shows a giant red nebula and its smaller blue neighbor, which are both part of a vast star-forming region in the Large Magellanic Cloud, a satellite galaxy of the Milky Way, located 163,000 light-years away. In this picture, we can see how young, energetic, massive stars illuminate and sculpt their birthplace with powerful winds and searing ultraviolet radiation.⁣\n ⁣\nAt the heart of the big red nebula are sparkling stars, each of which are 10 to 20 times more massive than our Sun. The stars' ultraviolet radiation heats the surrounding dense gas. The massive stars also unleash fierce winds of charged particles that blast away lower-density gas, forming the bubble-like structures seen on the right, which resemble coral.⁣\n ⁣\nBy contrast, the seemingly isolated blue nebula at lower left was created by a solitary mammoth star 200,000 times brighter than our Sun. The blue gas was ejected by the star through a series of eruptive events during which it lost part of its outer envelope of material.⁣\n ⁣\nImage description: An image is split in two. In the bottom left of the first image a bright blue ring appears, slightly fading in all directions, with a small blue dot in the middle. Red and orange waves of gas ripple, arcing from top left to top right. A light blue center appears out of the sea of red, and several bright white dots shine through. In the top right, dark blue gas emanates from the blackness of space.⁣\n\nCredit: NASA, ESA, STScI⁣\n ⁣\n#NASA #Hubble #CoralReef #Nebula #Stars #Astronomy",
      "hashtags": [
        "NASA",
        "Hubble",
        "CoralReef",
        "Nebula",
        "Stars",
        "Astronomy"
      ],
      "mentions": [
        "NASAHubble"
      ],
      "url": "https://www.instagram.com/p/DNQuxufAih9/",
      "commentsCount": 1882,
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      "dimensionsWidth": 1080,
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      "alt": "Photo by NASA on August 12, 2025. May be an image of text.",
      "likesCount": 601022,
      "timestamp": "2025-08-12T16:19:28.000Z",
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          "ownerId": "528817151"
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        },
      ],
      "isCommentsDisabled": false
    },
  ],
  ]
```

### Want to get other details from an Instagram account?

You can use the other dedicated scrapers below if you want to scrape specific Instagram data:

<table>
<tr>
<td>📷 <a href="https://apify.com/apify/instagram-post-scraper">Instagram Post Scraper</a></td>
<td>💬 <a href="https://apify.com/apify/instagram-comment-scraper">Instagram Comments Scraper</a></td>
</tr>
<tr>
<td>✅ <a href="https://apify.com/clockworks/tiktok-profile-scraper">TikTok Profile Scraper</a></td>
<td>🎞️ <a href="https://apify.com/apify/instagram-reel-scraper">Instagram Reel Scraper</a></td>
</tr>
<tr>
<td>#️⃣ <a href="https://apify.com/apify/instagram-hashtag-scraper">Instagram Hashtag Scraper</a></td>
<td>📊 <a href="https://apify.com/apify/instagram-hashtag-analytics-scraper">Instagram Hashtag Analytics Scraper</a></td>
</tr>
<tr>
<td>👥 <a href="https://apify.com/apify/instagram-followers-count-scraper">Instagram Followers Count Scraper</a></td>
<td>🏷️ <a href="https://apify.com/apify/instagram-tagged-scraper">Instagram Mentions Scraper</a></td>
</tr>
<tr>
<td>💾 <a href="https://apify.com/apify/export-instagram-comments-posts">Export Instagram Comments and Posts Tool</a></td>
</tr>
<tr>
<td>🔮 <a href="https://apify.com/apify/brand-collaboration-scraper">Instagram Influencer Collaboration Scraper</a></td>
<td>🛍️ <a href="https://apify.com/apify/facebook-ads-scraper">Instagram Ads Scraper</a></td>    
</tr>
</table>

> If you're comfortable with more complex settings, use our more advanced 🔗 [Instagram Scraper](https://apify.com/apify/instagram-scraper) or 🔗 [Instagram API Scraper](https://apify.com/apify/instagram-api-scraper). They cover almost all functionalities of the dedicated scrapers.

### ❓FAQ

#### What's the expected size of the Instagram Profile dataset?

Note that the dataset can become extensive due to sections like `relatedProfiles`, `latestPosts`, and `latestIgtvVideos`. If you only need key metrics and contact information from scraped Instagram profiles, you can exclude these fields in **Storage > Dataset > Export dataset > Omit fields**.

#### What if I only need very basic profile info from Instagram account?

In case you need to scrape only basic profile info, such as **followers count, following count, and the last time the account posted**, you can use 👥 [Instagram Followers Count Scraper](https://apify.com/apify/instagram-followers-count-scraper). It is more optimized for a specific use case like this.

#### Can I get Instagram details by username?

Yes. All you need is the profile’s username, and the scraper will fetch all available public data from that account. This includes metrics like followers, follows, posts, engagement, and profile contact details, so you don’t need anything more than the username to start.

#### Can I get Instagram details by URL or ID?

Yes. Simply provide the profile’s URL or ID, and the scraper will extract the same set of public data as it would with a username. Using URLs can be especially handy if you already have a list of Instagram profiles from another source and want to process them directly.

#### Is it legal to scrape Instagram profiles?

Our Instagram scrapers do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly.

However, you should be aware that your results could contain personal data. Personal data is protected by the [GDPR](https://en.wikipedia.org/wiki/General_Data_Protection_Regulation) in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/).

#### **Can I use integrations with Instagram Profile Scraper?**

You can integrate profile data scraped from Instagram with almost any cloud service or web app. We offer integrations with **Zapier, n8n, Slack, Make, Airbyte, Gumloop, CrewAI, IFTTT, Lindy, GitHub, Google Sheets, Google Drive**, [and plenty more](https://apify.com/integrations).

Alternatively, you could use [webhooks](https://docs.apify.com/integrations/webhooks) to carry out an action whenever an event occurs, such as getting a notification whenever the Instagram Profile Scraper successfully finishes a run.

#### Can I use this Instagram data extractor with the Apify API?

Yes. The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify Actors. Meaning the API will let you access any datasets, monitor actor performance, fetch scraped profile results, create and update versions, and more.

To access the API using Node.js, use the `apify-client` [NPM package](https://apify.com/apify/instagram-profile-scraper/api/javascript). To access the API using Python, use the `apify-client` [PyPI package](https://apify.com/apify/instagram-profile-scraper/api/python). Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for all the details.

#### Can I get Instagram account details through an MCP Server?

With Apify API, you can use almost any Actor in conjunction with an MCP server. You can connect to the MCP server using clients like ClaudeDesktop and LibreChat, or even build your own. Read all about how you can [set up Apify Actors with MCP](https://blog.apify.com/how-to-use-mcp/).

For Instagram Profile Scraper, go to the [MCP](https://apify.com/apify/instagram-profile-scraper/api/mcp) tab and then go through the following steps:

1. Start a Server-Sent Events (SSE) session to receive a `sessionId`
2. Send API messages using that `sessionId` to trigger the scraper
3. The message starts the Instagram Profile Scraper with the provided input
4. The response should be: `Accepted`

#### Instagram Profile Scraper not working

We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Instagram Profile Scraper or simply found a bug, please create an issue on the Actor’s [Issues tab](https://apify.com/apify/instagram-profile-scraper/issues/open).

# Actor input Schema

## `usernames` (type: `array`):

Provide one or several Instagram user names you want to scrape the posts from. The actor will also handle user name IDs.

## `includeAboutSection` (type: `boolean`):

This feature is for paying users only. If enabled, the scraper will extract information about the account, including date joined, country of origin, and the profile's channel information. Please beware that the country is there ONLY if the user filled in this information.

## Actor input object example

```json
{
  "usernames": [
    "humansofny"
  ],
  "includeAboutSection": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "usernames": [
        "humansofny"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("excitable_pickle/instagram-profile-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "usernames": ["humansofny"] }

# Run the Actor and wait for it to finish
run = client.actor("excitable_pickle/instagram-profile-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "usernames": [
    "humansofny"
  ]
}' |
apify call excitable_pickle/instagram-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,excitable_pickle/instagram-profile-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/qGTNh4gCPaxjmEGdG/builds/v85nK8ynAqTsqRmUg/openapi.json
