Instagram Tagged Scraper

Have you ever wanted to scrape data from Instagram User tagged Posts, but it seemed too complicated or techie? Our Instagram Post Scraper has got you covered!

Just decide whose Instagram user tagged posts you want to scrape (e.g. @nasa) and how many recent user tagged posts you need (let's say 314) and you're good to start scraping.

What does Instagram Tagged Scraper do?

Our free Instagram Post Scraper allows you to scrape public user tagged posts from any Instagram user. Just enter one or more Instagram usernames and you can extract and download all their user tagged posts and their details onto your computer.

You can download that structured data in Excel, HTML, XML, CSV, Excel, and JSON to use in reports, data visualizations, spreadsheets, and applications.

How to scrape Instagram user tagged posts

Instagram Post Scraper was created to be fast and easy to use. We've made two tutorials that should solve the learning question for you: [a simple guide](https://blog.apify.com/how-to-scrape-instagram-user tagged posts-in-5-easy-steps/) and a quick video ▷

How many results can you scrape with Instagram Tagged Scraper?

Instagram Tagged Scraper scraper can return thousands results on average - on a good day.

You have to keep in mind that scraping Instagram Tagged is dynamic and subject to change. There’s no one-size-fits-all-use-cases number. The maximum number of results may vary depending on the complexity of the input, location, and other factors.

Therefore, while we regularly run Actor tests to keep the benchmarks in check, the results may also fluctuate without our knowing. The best way to know for sure for your particular use case is to do a test run yourself.

How much will scraping Instagram Tagged cost you?

When it comes to scraping, it can be challenging to estimate the resources needed to extract data as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of input data and limited output. You’ll get your price per scrape, which you’ll then multiply by the number of scrapes you intend to do.

Watch this video for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run.

How can you use Instagram user tagged posts data?

So what can you do with all that data you collect by web scraping? Here are just some ideas:

• improve your market research

• help you optimize your marketing and PR

• assist with sentiment analysis

• help you understand audience engagement

• datasets containing thousands or millions of Instagram user tagged posts can be used to train your AI models, monitor fake news, or fight hate speech.

Input parameters

There are just two fields to fill out: an Instagram username (one or multiple) and the number of results you'd like to receive. Let's scrape the recent Instagram user tagged posts from Volodymyr Zelenskiy's Instagram account.

Or, as it would look in JSON format:

[{
  "id": "2500046047371182427",
  "type": "Image",
  "shortCode": "CKx8qJfrcFb",
  "caption": "💚✨😍\n#зеленский #зе #зеленские #украина #зепрезидент #зеленскийпрезидент #модель #квартал95 #президент #зе #зекоманда #zelenskiy_official #zeteam #sluganaroda #ukrainepresident #president #ukraine #modeling #kvartal95 #politics #humor #video #top",
  "hashtags": [
    "зеленский",
    "зе",
    "зеленские",
    "украина",
    "зепрезидент",
    "зеленскийпрезидент",
    "модель",
    "квартал95",
    "президент",
    "зекоманда",
    "zelenskiy_official",
    "zeteam",
    "sluganaroda",
    "ukrainepresident",
    "president",
    "ukraine",
    "modeling",
    "kvartal95",
    "politics",
    "humor",
    "video",
    "top"
  ],
  "mentions": [],
  "url": "https://www.instagram.com/p/CKx8qJfrcFb/",
  "commentsCount": 211,
  "firstComment": "",
  "latestComments": [],
  "dimensionsHeight": 1080,
  "dimensionsWidth": 1080,
  "displayUrl": "https://instagram.fman4-2.fna.fbcdn.net/v/t51.2885-15/145005829_126094472719499_5243397354842784447_n.jpg?stp=dst-jpg_e35&_nc_ht=instagram.fman4-2.fna.fbcdn.net&_nc_cat=111&_nc_ohc=DmXgemzfBUAAX9PE7mP&edm=ALdeuSgBAAAA&ccb=7-5&oh=00_AfDWY4VEzl1lSnktPMJwihWwnaJx8kb3kAx8_Zr7N0Eiyw&oe=63829075&_nc_sid=d2677f",
  "images": [],
  "alt": null,
  "likesCount": 5216,
  "timestamp": "2021-02-02T06:52:14.000Z",
  "childPosts": [],
  "ownerUsername": "humor_in_politics",
  "ownerId": "3978183397"
}]

Instagram output

Each item will be a separate item in the dataset. You can view the extracted data as an overview table or see all fields in different formats. You can then export them from the platform onto your computer or integrate with other apps directly.

Or, as it would look in JSON format:

[{

"queryUsername": "zelenskiy_official",

"position": 1,

"id": "2872052725666677091",

"type": "Image",

"shortCode": "CfblLy5jgFj",

"caption": "Під час телефонної розмови з Президентом Німеччини @bundespraesident.steinmeier обговорили подальше нарощування оборонної підтримки України. Для нас цінна солідарність німецького народу на шляху України до ЄС і підтримка в протидії агресії. Дякую за співчуття у зв'язку з нелюдською атакою на Кременчук.",

"hashtags": [],

"mentions": [

"bundespraesident.steinmeier"

],

"url": "https://www.instagram.com/p/CfblLy5jgFj/",

"commentsCount": 96,

"firstComment": "",

"latestComments": [],

"dimensionsHeight": 720,

"dimensionsWidth": 1080,

"displayUrl": "https://instagram.fkhi6-1.fna.fbcdn.net/v/t51.2885-15/290674587_140442341970727_8442312739974023977_n.jpg?stp=dst-jpg_e35_s1080x1080&_nc_ht=instagram.fkhi6-1.fna.fbcdn.net&_nc_cat=1&_nc_ohc=gdRSwayFqbcAX-rvqMD&edm=ABfd0MgBAAAA&ccb=7-5&oh=00_AT_rg_MGnokkRvEpUYg8rDSZp0Ufm3MJlACTiKGIvGgqhw&oe=62C5443E&_nc_sid=7bff83",

"images": [],

"alt": null,

"likesCount": 5066,

"timestamp": "2022-06-30T13:23:06.000Z",

"childUser tagged Posts": [],

"locationName": null,

"locationId": null,

"ownerFullName": null,

"ownerUsername": "zelenskiy_official",

"ownerId": "4731970969"

},

{

"queryUsername": "zelenskiy_official",

"position": 2,

"id": "2871931386540652607",

"type": "Sidecar",

"shortCode": "CfbJmFCDPg_",

"caption": "Україна — держава, де найвищою цінністю є людина. І ми воюємо проти агресора, для якого найвища цінність – це зброя.\n\n——\n\nUkraine is a state where the highest value is a person. And we are fighting against the aggressor whose highest value is weaponry.\n\nPhoto: Ivor Prickett for The New York Times, Heidi Levine for The Washington Post, Evgeny Zavgorodniy, Metin Aktas for Anadolu Images, Julia Kochetova, Marco Djurica, Serhii Korovainyi.",

"hashtags": [],

"mentions": [],

"url": "https://www.instagram.com/p/CfbJmFCDPg_/",

"commentsCount": 2463,

"firstComment": "",

"latestComments": [],

"dimensionsHeight": 498,

"dimensionsWidth": 750,

...

You can manage the results in any language (Python, PHP, Node.js/NPM). See the Apify API docs to learn more about getting results from the scraper.

Is it legal to scrape Instagram?

Our Instagram scrapers are ethical and 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. We therefore believe that our scrapers, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR 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.

Integrations and Instagram Tagged Scraper

Last but not least, Instagram Tagged Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more. Or you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Instagram API Scraper successfully finishes a run.

Using Instagram Tagged Scraper with the Apify API

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. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.

To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package.

Check out the Apify API reference docs for full details or click on the API tab for code examples.

Want to scrape Instagram hashtags, profiles, or comments?

Use our super fast and easy dedicated scrapers if you want to scrape specific Instagram data. There are fewer settings to change and faster results. Just enter one or more Instagram usernames or URLs and click Start to scrape Instagram.

• Instagram Hashtag Scraper

• Instagram Profile Scraper

• Instagram Comment Scraper

Need something more advanced?

Try our more advanced Instagram Scraper if you need more options and are comfortable with changing settings. Let us know if you need a custom Instagram scraping solution.

Not your cup of tea? Build your own scraper

Instagram Tagged Scraper doesn’t exactly do what you need? You can always build your own! We have various scraper templates in Python, JavaScript, and TypeScript to get you started. Alternatively, you can write it from scratch using our open-source library Crawlee. You can keep the scraper to yourself or make it public by adding it to Apify Store (and find users for it).

Your feedback

We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Instagram Tagged Scraper or simply found a bug, please create an issue on the Actor’s Issues tab in Apify Console.