Operated by Sourcelane✓ verified
Scrape every reply under Instagram comments and the users who liked them - reply text, timestamps, and author profiles from any public post.
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.
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
Instagram post or Reel - paste the full URL (e.g.
Optional list of specific comment IDs to process (e.g.
Optional settings
| Window | Uptime | Success rate | p50 | p95 | Calls |
|---|---|---|---|---|---|
| 24h | — | — | — | — | 0 |
| 7d | — | — | — | — | 0 |
| 30d | — | — | — | — | 0 |
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 |
|---|---|---|
replyId | string | Reply Id |
text | string | Text |
likeCount | integer | — |
createdAt | string | — |
createdAtTimestamp | integer | — |
parentCommentId | string | — |
parentCommentText | string | — |
postId | string | Post Id |
postShortcode | string | Post Shortcode |
postUrl | string | Post Url |
userId | string | User Id |
username | string | Username |
fullName | string | Full Name |
isVerified | boolean | Is Verified |
isPrivate | boolean | Is Private |
profilePicUrl | string | Profile Pic Url |
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. One click, then confirm.
Adds the Sourcelane MCP server with your key as a header.
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
--header "Authorization: Bearer sl_live_your_agent_key"Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.
{
"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"
}
}
}
}Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).
{
"mcpServers": {
"sourcelane": {
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer sl_live_your_agent_key"
}
}
}
}Save as .vscode/mcp.json. VS Code prompts for your key once.
{
"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
}
]
}Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.
https://usesourcelane.com/openapi.jsonOne POST. Pass maxResults to cap cost.
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}'Wrap the REST call as a tool, or point an MCP client at the endpoint.
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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