Question 1

What is Instagram Hashtag Scraper?

Accepted Answer

It's a simple tool that allows you to web scrape full data from Instagram posts based on hashtag search. To scrape every post that mentions a specific hashtag, just indicate the hashtag, the number of posts to scrape, and click the "Save & Start" button at the bottom of the page.

Question 2

How to scrape Instagram hashtags

Accepted Answer

Just follow the steps below:
Create a free Apify account.
Open Instagram Hashtag Scraper.
Add one or more Instagram hashtags to scrape.
Click "Save & Start" and wait for the datasets to be extracted.
Download your data in JSON, XML, CSV, Excel, or HTML.

Question 3

How many results can you scrape with Instagram Hashtag Scraper?

Accepted Answer

Instagram Hashtag Scraper can return tens of thousands of results on average. However, you have to keep in mind that scraping Instagram has many variables to it and may cause the results to fluctuate case by case. 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.

Question 4

How much will scraping Instagram Hashtags cost you?

Accepted Answer

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.

Question 5

Want to scrape Instagram profiles, videos, or comments?

Accepted Answer

You can use the dedicated scrapers below if you want to scrape specific Instagram data. Each of them is built for a relevant Instagram scraping case, e.g. comments, video, followers, or profile.

➡️ Instagram Post Scraper
➡️ Instagram Profile Scraper
➡️ Quick Instagram Posts Checker
➡️ Instagram Tagged Scraper
➡️ Instagram Reel Scraper
➡️ Instagram Comment Scraper

Question 6

What can I use the extracted data from Instagram hashtags for?

Accepted Answer

Scraping Instagram hashtags is the fastest, most efficient way to get datasets that you can use anywhere. Data from posts based on hashtags can help to follow and predict trends, assist in tracking brand awareness, direct you in how to improve your Instagram performance, and help to keep an eye on competing influencers.

Question 7

Is it legal to scrape Instagram hashtags data?

Accepted Answer

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. However, you should be aware that your results could contain personal data. 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 and ethical scraping.

Question 8

Can I integrate Instagram Hashtag Scraper with other apps?

Accepted Answer

Instagram Hashtag 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 Hashtag Scraper successfully finishes a run.

Question 9

Can I use Instagram Hashtag Scraper with the Apify API?

Accepted Answer

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.

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