Instagram Comment Replies & Likers Scraper

Instagram

Operated by Sourcelane✓ verified

A scraper for Instagram posts and Reels that extracts comment-reply threads and lists of users who liked individual comments. The connector provides two modes — a replies mode that yields one record per reply (including reply text, engagement count, creation timestamp, reference to the parent comment and a parent-text snippet, replier profile details such as username, display name, user identifier, verification and privacy flags, and avatar URL, plus post identifiers) and a likers mode that yields one record per comment liker (including liker profile details and the comment/post reference). Technical capabilities include auto-discovery of top-level comments or targeted processing of specific comment threads, pagination and resume support via page tokens, operation on Instagram posts and Reels without requiring login, and output of structured records containing text, timestamps, engagement metrics, profile metadata, and post identifiers for downstream analysis.

Verified Sep 28, 3:55 AM

$0.003

per reply

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Audience research to identify the most engaged users inside a post's comment threads
Lead generation by collecting accounts that reply to or like comments on competitor posts
Community management for pulling full reply threads for sentiment analysis and moderation
Influencer vetting to assess who engages in a creator's comment section
Giveaway and contest verification to list users who liked a specific comment

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"instagram-comment-replies-scraper","params":{"postUrl":"https://www.instagram.com/reel/Dbru79IAdH-/","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`postUrl`	string	required	Instagram post or Reel - paste the full URL (e.g. https://www.instagram.com/reel/Dbru79IAdH-/) or just the shortcode (Dbru79IAdH-).
`mode`	string	optional	What to scrape for each comment: 'Comment replies' collects the reply threads under comments; 'Comment likers' collects the users who liked each comment.
`commentIds`	array	optional	Optional list of specific comment IDs to process (e.g. 18098751365613581). Leave empty to auto-discover the post's top-level comments and process those.
`maxItems`	integer	optional	Maximum number of records (replies or likers) to scrape. Set 0 for unlimited (runs until the post is exhausted or the connector times out). Capped at 100 per call.
`pageId`	string	optional	Optional. Paste NEXT_PAGE_ID from the previous run's Key-value store to resume where the last run stopped.

Each result contains

Field	Type	Description
`userId`	string	User Id
`username`	string	Username
`fullName`	string	Full Name
`isPrivate`	boolean	Is Private
`isVerified`	boolean	Is Verified
`profilePicUrl`	string	Profile Pic Url
`commentId`	string	Comment Id
`postId`	string	Post Id
`postShortcode`	string	Post Shortcode
`postUrl`	string	Post Url

Use Instagram Comment Replies & Likers Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Pull the last 20 posts from @natgeo and tell me which formats get the most engagement.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"instagram-comment-replies-scraper","params":{"postUrl":"https://www.instagram.com/reel/Dbru79IAdH-/","maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "instagram-comment-replies-scraper",
        "params": {"postUrl":"https://www.instagram.com/reel/Dbru79IAdH-/","maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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