An automated browser-driven skill to extract comments, user handles, timestamps, and reaction metrics from any Instagram post using cursor-based pagination.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install instagram-post-comments-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install instagram-post-comments-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Instagram Post Comments?
The Instagram Post Comments skill is a powerful automation utility designed for AI agents to gather community interaction data directly from Instagram posts. By utilizing authenticated browser sessions via the browser-act tool, this capability extracts critical information such as comment text, username, timestamp, like counts, and reply counts.
As part of the wider ecosystem of Openclaw Skills, this tool acts as a local assistant that automates manual copy-pasting. It operates safely within the user's manual boundaries, utilizing local Python scripts to interact with internal APIs and handle pagination seamlessly without triggering automated blocklists.
Instagram Post Comments Use Cases
- Social Media Sentiment Analysis: Scrape customer discussions and feedback on specific posts for brand sentiment tracking.
- Influencer Campaign Auditing: Pull post comments to measure real user engagement, reply rates, and comment quality.
- Community Management: Monitor and aggregate user inquiries, support issues, or contest entries from popular Instagram posts.
- Market Research: Extract public discussions on competitor profiles to identify emerging consumer trends and pain points.
How Instagram Post Comments Works
- Login & Session Verification: Checks if a browser-act session is active and verifies that the user is logged into Instagram.
- Resolve Shortcode: Converts a post shortcode (e.g.,
BwrsO1Bho2N) into a numericmedia_idusing a dedicated helper script. - Initial Page Fetch: Issues an initial API call to gather the first batch of comments along with metadata.
- Cursor-Based Pagination: Employs sequential pagination using the
next_min_idtoken whilehas_more_commentsis true. - Data Merging: Aggregates all retrieved comment payloads into a single, unified JSON structure for downstream processing.
Instagram Post Comments Setup
Prerequisites
- Ensure a browser session is open on
https://www.instagram.com/and logged into your account. - Confirm that the
browser-acttool is configured and ready in your execution environment.
Running CLI Scripts
Use the following Python commands via your terminal or agent bash environment to extract comments:
# Step 1: Resolve post shortcode to Media ID
eval \"$(python scripts/get-media-id.py 'BwrsO1Bho2N')\"
# Step 2: Fetch the first page of comments
eval \"$(python scripts/get-post-comments.py '3900557621921709539')\"
# Step 3: Fetch subsequent pages using the cursor
eval \"$(python scripts/get-post-comments.py '3900557621921709539' --min-id '17857015000000001')\"
Local Experience Notes
To optimize future executions, the skill updates an execution-memory file located at:
{working-directory}/browser-act-skill-forge-memories/instagram-scraper-instagram-post-comments.memory.md
Instagram Post Comments Data Schema & Taxonomy
Resolved Media ID Response Schema
| Field | Type | Description |
|---|---|---|
media_id |
String | Unique numeric identifier for the post |
shortcode |
String | Alphanumeric shortcode from post URL |
media_type |
Integer | Internal media type category |
username |
String | Username of the post author |
taken_at |
Integer | Epoch timestamp when the post was published |
Paginated Comment Schema
| Field | Type | Description |
|---|---|---|
comments |
Array | Array of comment objects (including text, username, user_id, created_at timestamp, like_count, and reply_count) |
has_more_comments |
Boolean | Pagination flag indicating more pages are available |
next_min_id |
String | The pagination cursor token for the next query |
Instagram Post Comments Advanced Features
- Batch Orchestration Integration: Easily integrated into custom serial bash scripts for processing multiple media IDs in a single session.
- Self-Healing Adaptive Memory: Reads and writes to a local markdown-based memory file to bypass recurring blocklists or adjust scraping strategies over time.
- Stealth Multi-Session Scaling: Supports scaling operations by distributing work across multiple stealth browser sessions, each with independent fingerprints to maximize throughput safely.
- Robust Error Resumption: Facilitates progressive item-by-item data saving, enabling automated agents to resume operations from breakpoints upon network issues or rate limits.
SKILL.md
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