Skip to content
Agentmart
Submit a tool

instagram-post-comments

Fetches comments from an Instagram post including comment text, username, timestamp, like count and reply count.

Skill by browser-act

IndexedMIT★ 6,268
Write a review

Chalk Labs

Need help deploying instagram-post-comments?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/browser-act-instagram-post-comments

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Fetches comments from an Instagram post including comment text, username, timestamp, like count and reply count. Use when user mentions Instagram comments scraping, get comments from Instagram post, Instagram comment list, pull Instagram comments, read Instagram comments, Instagram post discussion, extract Instagram comments, comment data from Instagram, IG post replies, who commented on Instagram.

Use cases: data

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 2

  • codeload.github.com · found in install command
  • instagram.com · found in code

Files it touches

  • ~/.claude/skills/instagram-post-comments

What's inside

Skill name
instagram-post-comments
Description
Fetches comments from an Instagram post including comment text, username, timestamp, like count and reply count. Use when user mentions Instagram comments scraping, get comments from Instagram post, Instagram comment list, pull Instagram comments, read Instagram comments, Instagram post discussion, extract Instagram comments, comment data from Instagram, IG post replies, who commented on Instagram.
License
MIT
Instructions
128 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (3)

  • SKILL.md
  • get-media-id.py · scripts/
  • get-post-comments.py · scripts/

SKILL.md (first lines)

# Instagram — Post Comments

> post shortcode or media ID → paginated list of comments

## Language

All process output to user (progress updates, process notifications) follows the user's language.

## Objective

Fetch comments for a specific Instagram post using the internal comments API with cursor-based pagination.

## Prerequisites

- Browser is open on any Instagram page: `https://www.instagram.com/`
- Logged into Instagram (user avatar or username visible in top-right corner)

## Pre-execution Checks

### 1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

### 2. Login Verification

If login status for Instagram has been confirmed in the current session → skip this step.

Otherwise: open `https://www.instagram.com/` and observe the page login status:
- Logout/sign-out entry, user avatar, or username exists → logged in, continue execution
- Login/register entry exists with no logout entry → not logged in, inform the user that login is needed first, assist the user in completing the login flow

User refuses or cannot log in → terminate execution.

## Capability Components

> This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py {params})"`. `$(...)` is bash syntax; it is recommended to use the bash tool for execution.

Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed — no need to read `scripts/*.py` source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.

### API: get media ID from shortcode

`eval "$(python scripts/get-media-id.py '{shortcode}')"`

Parameters:
- shortcode: Post shortcode from the Instagram URL (e.g., from `instagram.com/p/BwrsO1Bho2N/` → `BwrsO1Bho2N`)

Output example:
```json
{
  "media_id": "3900557621921709539",
  "shortcode": "BwrsO1Bho2N",
  "media_type": 1,
  "username": "natgeo",
  "taken_at": 1779686199
}
```

### API: get comments page

`eval "$(python scripts/get-post-comments.py '{media_id}' --min-id '{cursor}')"`

Parameters:
- media_id: Numeric media ID / pk (from get-media-id output, or from profile-posts output)
- --min-id: Pagination cursor; leave empty for first page, use `next_min_id` from previous response for subsequent pages

Output example:
```json
{
  "comments": [
    {
      "pk": "17857015000000001",
      "text": "Amazing photo!",
      "username": "john_doe",
      "user_id": "123456789",
      "created_at": 1779686500,
      "like_count": 42,
      "reply_count": 3
    }
  ],
  "has_more_comments": true,
  "next_min_id": "17857015000000001"
}
```

### Composite: fetch all comments for a post

1. `navigate https://www.instagram.com/` → `wait stable`
2. If only shortcode is available: `eval "$(python scripts/get-media-id.py '{shortcode}')"` → extract `media_id`
3. `eval "$(python scripts/get-post-comments.py '{media_id}')"` → collect `comments`, note `has_more_comments` and `next_min_id`
4. While `has_more_comments` is `true`:
   a. `eval "$(python scripts/get-post-comments.py '{media_id}' --min-id '{next_min_id}')"` → accumulate `comments`
5. Merge all collected comments

## Pagination

**API Pagination**: `min_id`, type: cursor, start value: empty string. Next page value source: `next_min_id` field in response. Termination: `has_more_comments` is `false` or `next_min_id` is null.

## Success Criteria

`result count >= 1 AND comments[0].text non-null AND comments[0].username non-null`

## Known Limitations

- Login required: comments API returns `require_login: true` without authentication
- Posts with comments disabled return empty comments array
- Deleted comments or accounts may return partial data

## Execution Efficiency

- **Batch orchestration**: Write a bash script to loop through the command templates serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Refer to rate information in "Known Limitations" above to add appropriate intervals. To increase throughput, open multiple stealth browser sessions and distribute work across them — each session has an independent fingerprint so rate limits apply per session
- **Test before batch execution**: After writing a batch script, you must first test with 1-2 items to verify the script runs correctly; only then run the full batch. Never skip testing and execute in batch directly
- **Reduce redundant pre-operations**: When multiple steps depend on the same prerequisite state, complete them in batch under that state to avoid repeatedly establishing the same state
- **Error resumption**: Save results item by item during batch processing; on failure, resume from the breakpoint rather than starting over

## Experience Notes

Path: `{working-directory}/browser-act-skill-forge-memories/instagram-scraper-instagram-post-comments.memory.md` (working directory is determined by the Agent running the Skill, typically the project root or current working directory)

From browser-act/skills, MIT.

More from browser-act/skills

Signals

Stars
6,268
Forks
330
Open issues
9
Last commit (this folder)
May 25, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from browser-act

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get instagram-post-comments running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying instagram-post-comments?

CallGet help
Cite this page

instagram-post-comments skill. Agent Mart. https://agentmart.dev/skills/browser-act-instagram-post-comments (last updated 2026-10-24)