Instagram profiles, posts, and Reels provide different layers of public information. Profiles describe an account, posts show its broader content strategy, and Reels add short-form video performance and trend signals.
Collecting these fields manually becomes inefficient when research includes dozens of creators, brands, or competitors. A ready-made scraper can turn selected Instagram URLs into structured records without requiring users to build browser automation, manage proxies, or maintain extraction code.
What Instagram Data Can You Collect?
The fields available depend on the page type and what Instagram makes publicly accessible.
Source | Common Data Fields |
Profiles | Username, profile ID, biography, website, followers and verification |
Posts | Caption, hashtags, date, likes, comments, author and media links |
Reels | Creator, caption, views, plays, likes, comments and video links |
Source data | Profile URL, post URL, content ID and collection date |
Not every record contains every field. Private accounts, removed content, hidden metrics, and posts without captions or locations can produce missing values.
The CoreClaw Instagram Scraper collection provides separate ready-made Workers for profiles, posts, comments, Reels, and related public Instagram workflows.
How Do You Scrape Instagram Profiles?
Start with a list of public account URLs or usernames. Remove duplicate accounts and confirm that each profile matches the research topic.
The Instagram Profile Scraper accepts one or more profile URLs and returns structured account information. Documented fields include usernames, IDs, biographies, locations, websites, follower counts, following counts, and other available public profile details.
A basic no-code workflow is:
1. Open the Profile Scraper.
2. Paste the public profile URLs.
3. Start with a limited test.
4. Review the returned fields.
5. Export the approved results.
Use the profile ID as the primary matching field. Usernames can change, so they are less reliable for long-term monitoring.
How Do You Scrape Posts From Instagram Profiles?
When the goal is to collect several posts from each account, use a profile-based bulk post workflow rather than gathering every post URL manually.
The Instagram Bulk Post Scraper accepts profile URLs and collects public post content, engagement metrics, author information, and media links. It also supports filtering by date range and post type.
This approach is useful for:
- Comparing creator posting frequency
- Monitoring competitor campaigns
- Reviewing content published during a defined period
- Identifying recurring hashtags and formats
- Building campaign-reference datasets
Set a realistic date range or post limit. Collecting an account’s entire public history may add cost and create unnecessary cleanup work.
How Do You Scrape Individual Instagram Posts?
Use a post-URL Worker when the team already has a shortlist of specific content.
The Instagram Post Scraper supports batch post URLs and returns public content, engagement, author, profile, and media information. Results can be exported to CSV or JSON without creating page selectors.
Before scaling the task, check whether:
- Each URL returns the intended post
- Post IDs and source URLs are preserved
- Captions and hashtags are complete
- Engagement fields use consistent formats
- Images or video links match the source
- Missing fields are clearly represented
Use the post ID or shortcode for duplicate removal. Captions are not dependable identifiers because multiple posts can contain similar text.
How Do You Scrape Instagram Reels?
Reels require additional fields that do not always apply to standard image posts, such as play counts, video views, duration, audio details, and direct video links.
The Instagram Reels Scraper collects public creator information, captions, hashtags, likes, comments, views, play counts, engagement metrics, media URLs, and publication times from Reel inputs. It also supports data export, API access, and third-party integrations.
Reel data can support short-form content research, creator evaluation, trend monitoring, competitor analysis, and campaign reporting.
Visible engagement should be treated as a research signal rather than a complete measure of content quality. Publication time, account size, content age, and audience relevance can all affect performance.
How Do You Combine and Clean the Results?
Keep profiles and content in separate tables.
The profile table should contain one row per account. The post and Reel tables should contain one row per content item. Connect them using the stable profile ID.
Standardize:
- Usernames and profile URLs
- Publication dates and time zones
- Post and Reel content types
- Hashtags and mentions
- Like, comment, view, and play counts
- Source URLs and collection dates
Keep the original exports and create separate cleaned datasets. Raw files are useful when a missing or incorrect field needs to be investigated.
CoreClaw’s no-code workflow displays results in structured tables and supports exports including CSV, JSON, JSONL, XLS, XLSX, HTML, XML, and RSS.
How Can You Automate Instagram Data Collection?
One-time research can be completed through the browser. Recurring competitor, creator, or campaign monitoring usually benefits from an API or scheduled workflow.
The CoreClaw API integration can start Worker runs, monitor execution, retrieve results, and generate export files for databases, dashboards, or internal applications.
A recurring workflow can:
1. Load approved profile or content URLs.
2. Run the relevant Workers.
3. Store raw results.
4. Standardize and deduplicate records.
5. Apply date, creator, or engagement filters.
6. Export cleaner data to the analysis system.
CoreClaw bills applicable Workers by successful results rather than failed requests. Teams should still run a small sample and review the relevant Worker price before scaling.
Is It Safe to Scrape Instagram Data?
Instagram states that unauthorized automated data collection violates its terms and may lead to account restrictions. Its Terms of Use also require automated collection workflows to comply with Meta’s applicable data-collection terms.
Limit collection to necessary public information. Avoid private accounts, restricted content, sensitive profiling, harassment, unwanted mass outreach, or republishing copyrighted media without permission.
Meta’s official Instagram APIs may be more appropriate for authorized workflows involving accounts and content managed by the organization.
Final Thoughts
The cleanest way to scrape Instagram profiles, posts, and Reels is to separate the workflow by data type.
Use a profile Worker for account-level information, a bulk post Worker for content histories, a post-URL Worker for selected campaign content, and a Reel Worker for short-form video metrics.
With CoreClaw, teams can run these workflows without coding, collect cleaned and filtered structured outputs, and export data to CSV, Excel, or JSON. Recurring projects can connect through the API, while specialized requirements can be handled through a custom Worker or a developer-published workflow.
Frequently Asked Questions
Content Writer @CoreClaw · Last Updated 2026-08-04
Lena Kovalenko researches how modern software systems expose and organize information online. Her writing focuses on the interaction between APIs, web platforms, and automated data workflows. When exploring a topic she typically compares multiple tools to understand their design assumptions. These comparisons often lead to articles that help readers see how different technical approaches influence reliability and efficiency.
View Author Profile →Disclaimer: All information on the CoreClaw Blog is provided “as is” and for informational purposes only. CoreClaw makes no representations and assumes no liability for any consequences arising from your use of information published on the CoreClaw Blog or on any third-party websites linked from it. Before any scraping activity, consult legal counsel, review the target website’s terms of service, and obtain permission where required.
