Instagram Following Scraper & Instagram Scraper by DataScrapify. Extract Instagram following lists from public profiles and export data to CSV or Excel for research.
Instagram Following Scraper by DataScrapify
Looking to extract Instagram following lists quickly and efficiently? DataScrapify’s Instagram Following Scraper is a powerful cloud-based Instagram Scraper designed for marketers, influencers, agencies, researchers, and data analysts who need to collect and analyze Instagram following data.
The tool helps you scrape Instagram following lists from public Instagram profiles, organize the collected information, and export your results into CSV or Excel for further research and analysis.
Whether you are searching for an Instagram scraper, Instagram following scraper, Instagram following extractor, Instagram profile scraper, or Instagram data scraper, DataScrapify provides an easy-to-use solution without requiring coding or technical knowledge.
The Instagram Following Scraper by DataScrapify is a user-friendly Instagram data scraping tool designed to extract following information from public Instagram profiles.
Instead of manually opening Instagram profiles and copying accounts from following lists, you can automate the repetitive data collection process.
The Instagram Following Scraper can be useful for:
- Instagram following list extraction
- Competitor analysis
- Influencer research
- Market research
- Audience research
- Social media analytics
- Instagram username research
- Community discovery
- Brand research
The cloud-based platform allows you to run your scraping campaigns directly from your browser.
An Instagram Scraper can help automate the collection of publicly accessible Instagram information for legitimate research and analytics.
The Instagram Following Scraper specifically focuses on the accounts followed by a selected Instagram profile.
This can help you research:
- Public Instagram usernames
- Following lists
- Related Instagram accounts
- Influencer networks
- Competitor account relationships
- Niche communities
- Brands and creators
- Social media connections
Once collected, the data can be organized and exported for additional analysis.
Collect available following information from selected public Instagram profiles without manually copying accounts one by one.
Save your Instagram following data in CSV or Excel format for sorting, filtering, reporting, and analysis.
The Instagram scraping workflow is designed to reduce repetitive manual research and simplify data collection.
Run the Instagram Scraper from your browser. The cloud-based workflow makes it convenient to manage campaigns from different locations and devices.
No Python or programming experience is required. The tool provides a simple interface for creating and running scraping campaigns.
Keep your exported datasets under your control and handle account/session information responsibly.
Create a campaign for your research project, configure the Instagram profile, and start the following extraction process.
Manually checking Instagram following lists can become extremely time-consuming when researching multiple profiles or large accounts.
An Instagram Following Scraper automates repetitive collection tasks and helps you create structured datasets more efficiently.
Research publicly available following information associated with competitor Instagram profiles.
This can help you discover:
- Related businesses
- Industry accounts
- Brands
- Influencers
- Content creators
- Niche accounts
- Relevant communities
Following data can provide an additional perspective for Instagram competitor analysis.
Use an Instagram Following Scraper for influencer and creator research.
You can investigate the accounts followed by creators and identify relevant brands, influencers, communities, or niche accounts.
This can support:
- Influencer discovery
- Creator research
- Niche research
- Collaboration research
- Audience analysis
- Social media strategy
Instagram following information can provide useful signals for market research.
Researchers can analyze groups of profiles and identify recurring brands, creators, communities, and account categories.
Following data can be combined with other publicly available Instagram datasets to support broader social media analytics and research.
Instagram Following and Instagram Followers are different datasets.
An Instagram Follower Scraper collects accounts that follow a particular Instagram profile.
An Instagram Following Scraper collects accounts that a particular Instagram profile follows.
For example:
Instagram Profile
│
├── Followers
│ ↓
│ Instagram Follower Scraper
│
└── Following
↓
Instagram Following Scraper
This distinction is important when selecting an Instagram data extraction tool for your research.
The Instagram Profile Scraper concept is useful for broader Instagram research.
Following information can be combined with publicly available profile-level data to understand relationships between accounts and identify relevant communities.
Potential research areas include:
- Influencer networks
- Brand relationships
- Competitor ecosystems
- Niche communities
- Creator discovery
- Social media trends
The Instagram Following Scraper can therefore be part of a larger Instagram data scraping workflow.
If your research requires usernames, the Instagram Username Scraper workflow can help organize usernames associated with Instagram following data.
Structured username datasets can be easier to:
- Filter
- Sort
- Categorize
- Compare
- Analyze
- Export
This makes username extraction useful for influencer research, competitor analysis, community research, and market intelligence.
Using DataScrapify’s Instagram Scraper is straightforward.
Create a campaign and enter a name to identify your scraping project.
Enter the Instagram username/profile that you want to research.
Provide the required Instagram session cookie according to the application's instructions.
Important: Instagram cookies are authentication credentials. Keep them private and never publish them in GitHub repositories or share them with untrusted parties.
Submit your campaign and start the Instagram Following Scraper.
The tool processes the selected profile and collects available following information.
View the collected following data through the application interface.
Export the collected information into supported formats such as:
- CSV
- Excel
- Other supported formats
Instagram Profile
↓
Create Campaign
↓
Enter Instagram Username
↓
Add Instagram Cookie
↓
Start Instagram Scraper
↓
Extract Following List
↓
Process Data
↓
Review Results
↓
Export CSV / Excel
This workflow helps reduce repetitive manual research and makes Instagram following data easier to manage.
Watch the product demonstration to see how the Instagram Following Scraper works:
Watch Instagram Following Scraper Demo
The Instagram Following Scraper requires an Instagram session cookie as part of the scraping workflow.
You can use a suitable Chrome cookie export extension.
Chrome Web Store – Export Cookie JSON File
Open Instagram in your browser and log in to the account you intend to use.
Open the cookie extension and export the required Instagram cookie information.
Enter the exported cookie information into the appropriate field in your DataScrapify campaign.
Security note: Never post your Instagram session cookie publicly, commit it to GitHub, or send it to an unknown person or service.
An Instagram Data Scraper can help researchers convert publicly accessible Instagram information into structured datasets.
Following data can be used alongside other research information to identify patterns, relationships, and account categories.
Potential applications include:
- Instagram audience research
- Competitor intelligence
- Influencer research
- Market research
- Brand research
- Social media analytics
- Community research
- Content research
DataScrapify’s Instagram Following Scraper can be useful for:
- Digital marketing agencies
- Social media agencies
- Influencer marketing teams
- Market researchers
- Data analysts
- E-commerce businesses
- Brand research teams
- Growth marketers
- Social media managers
- Researchers
- Developers
- Competitive intelligence teams
Using an automated Instagram Following Scraper can help you:
- Save manual research time
- Automate repetitive data collection
- Extract Instagram following lists
- Build structured datasets
- Export data to CSV or Excel
- Research competitor accounts
- Discover influencer networks
- Analyze Instagram account relationships
- Organize usernames
- Support market research
- Run campaigns from the cloud
- Work without coding
Use the Instagram Scraper responsibly.
Only collect information you are authorized to access and use. Follow Instagram/Meta terms, applicable privacy laws, and other relevant regulations.
Do not use collected information for spam, harassment, impersonation, unauthorized access, or other abusive activities.
Instagram session cookies should always be treated as confidential authentication credentials and should never be publicly shared or committed to source-code repositories.
Disclaimer
DataScrapify is an independent software provider and is not affiliated with, endorsed by, or sponsored by Instagram or Meta.
If you are searching for an Instagram Scraper, Instagram Following Scraper, Instagram Following Extractor, Instagram Followers Scraper, Instagram Profile Scraper, or Instagram Data Scraper, DataScrapify provides a simple cloud-based solution for automating Instagram following data research.
Start using DataScrapify: