Instagram Comments Scraper

Instagram

Operated by Sourcelane✓ verified

A scraper for Instagram posts and Reels that extracts every comment from public posts without requiring login or cookies. The connector captures comment content and identifiers, created timestamps (ISO 8601 and Unix), engagement metrics (like counts and reply counts), author profile metadata (author identifier, username, display name, profile picture URL, verification and privacy flags), and post references (post identifier, shortcode, post URL). It emits structured records per comment and supports cursor-based pagination so large comment threads can be collected across multiple runs; the pagination cursor is persisted at run end to enable resuming collection.

Verified Sep 28, 12:10 AM

$0.002

per comment

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

What people use it for

Sentiment analysis: pull every comment on a post to measure audience reaction
Customer feedback: capture questions and complaints under product or campaign posts
Lead generation: collect engaged commenters and their profiles for outreach
Community research: find most active fans and critics
Influencer vetting: check comment quality and authenticity before partnerships
Giveaway and contest management: export all entrants who commented on a post

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://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"instagram-comments-scraper","params":{"post":"https://www.instagram.com/p/DZIoOtwvkpG/","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`post`	string	required	Instagram post or Reel - paste the full URL (e.g. https://www.instagram.com/p/DZIoOtwvkpG/) or just the shortcode (DZIoOtwvkpG).
`maxItems`	integer	optional	Maximum number of comments to scrape. Set 0 for unlimited (caps at platform timeout). Capped at 100 per call.
`pageId`	string	optional	Optional. Paste NEXT_PAGE_ID from the previous run's Key-value store to fetch the next page of comments.

Each result contains

Field	Type	Description
`commentId`	string	Comment Id
`text`	string	Text
`createdAt`	string	Created At
`createdAtTimestamp`	integer	Created At Timestamp
`likeCount`	integer	Like Count
`replyCount`	null	Reply Count
`postId`	string	Post Id
`postShortcode`	string	Post Shortcode
`postUrl`	string	Post Url
`authorId`	string	Author Id
`authorUsername`	string	Author Username
`authorFullName`	string	Author Full Name
`authorProfilePicUrl`	string	—
`authorIsVerified`	boolean	—
`authorIsPrivate`	boolean	—

Use Instagram Comments 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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://cool-puffin-608.convex.site/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://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"instagram-comments-scraper","params":{"post":"https://www.instagram.com/p/DZIoOtwvkpG/","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://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "instagram-comments-scraper",
        "params": {"post":"https://www.instagram.com/p/DZIoOtwvkpG/","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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