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Scrape Instagram Data

scrape-instagram-data
Social Media
Try For Free

Instagram data scraper will extract and download data from Instagram without using Instagram API, which will include user profiles, hashtags, post URL, etc.

Try For Free
Instagram-logo

Instagram Data Extractor

Instagram data extractor is developed to extract important data such as number of followers, number of posts, images, likes per post, etc.

Scrape-Instagram-Data

Instagram Data Feed Includes

instagram_hashtags number_of_posts number_of_comments images url_date post_date comments

Procedure to Use and Try Free Crawlers

The crawlers are 90% ready to work. With a few clicks, it becomes as easy as copying and pasting the content.

Step

Initiate Advance Search

Scrape hashtags, number of posts, number of comments, images, URL date, post date, or comments from Instagram to extract engagement metrics, trending topics, and sentiment analysis. Capture data such as post reach, follower growth, comments, and reactions for competitive insights.

Step

Download Data

Export datasets (CSV, Excel, JSON, HTML, etc.) with timestamps, likes, shares, and keywords.

Step

Scheduling the crawler

The Instagram Scraper enables you to monitor content hourly for viral trends or track competitors daily for performance benchmarks.

Instagram profiles data scraper allows you to search for the user profiles or hashtags that you can filter depending on the user descriptions, locations, etc. Instagram Profile scraper is used to scrape Instagram user data using Python depending on the requirements from filtering on Instagram page. You can sort the filter as per the requirement and copy the relevant URL and put it in the initial URL tab in the EDIT PDE view after selecting the criteria for the data you need.

Users and Benefits of Scraping Instagram Data

  • If a search page on Instagram contains pagination, all pages will be crawled repeatedly.
  • You may also utilize the task scheduler capability to execute this scraper automatically.
  • There will be no requirement to download any software or extensions.
  • We will be always there to make necessary changes to the scrapers as per the requirement.
  • You can download the data without any knowledge of coding.
  • We analyze and resolve any issues that depend on website structure changes and blocking from the website.

The Result for the scraped file can be downloaded in a variety of forms, including CSV, XML, JSON, and XLSX. The following is a snapshot of the Instagram data fields we will scrape:

.CSV
JSON
Download Sample Data
#
Username
Display Name
Bio
Followers
Following
Hashtags
Likes
Comments
Shares
1
@fashionista_amy
Amy Rodriguez
NYC-based style blogger, sharing daily outfit inspo.
1.2 M
305
#OOTD, #StyleInspo, #NYC
~45 K
~1200
~550
2
@techguy_mike
Mike Anderson
Gadget reviews, smart home tips, and DIY tech hacks.
850 K
412
#TechReview, #SmartHome
~32 K
~800
~380
3
@fitfoodie_sarah
Sarah Lee
Wellness & clean eating, vegan recipes for busy lives.
640 K
220
#CleanEating, #VeganLife
~27 K
~650
~290
 
[
    {
        "#": "1",
        "Username": "@fashionista_amy",
        "Display Name": "Amy Rodriguez",
        "Bio": "NYC-based style blogger, sharing daily outfit inspo.",
        "Followers": "1.2 M",
        "Following": "305",
        "Hashtags": "#OOTD, #StyleInspo, #NYC",
        "Likes": "~45 K",
        "Comments": "~1200",
        "Shares": "~550"
    },
    {
        "#": "2",
        "Username": "@techguy_mike",
        "Display Name": "Mike Anderson",
        "Bio": "Gadget reviews, smart home tips, and DIY tech hacks.",
        "Followers": "850 K",
        "Following": "412",
        "Hashtags": "#TechReview, #SmartHome",
        "Likes": "~32 K",
        "Comments": "~800",
        "Shares": "~380"
    },
    {
        "#": "3",
        "Username": "@fitfoodie_sarah",
        "Display Name": "Sarah Lee",
        "Bio": "Wellness & clean eating, vegan recipes for busy lives.",
        "Followers": "640 K",
        "Following": "220",
        "Hashtags": "#CleanEating, #VeganLife",
        "Likes": "~27 K",
        "Comments": "~650",
        "Shares": "~290"
    }
]
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