Sourcelane

Instagram Tagged Posts Scraper

Instagram

Operated by Sourcelane✓ verified

A scraper that collects every public Instagram post and Reel an account is tagged in, extracting structured post metadata (post identifiers, shortcodes and URLs), media attributes (media type such as photo/video/carousel, product type, thumbnail and video URLs), textual content (captions with extracted hashtags and mentions), timestamps, engagement metrics (likes, comments, views/plays), author profile metadata (author identifiers, username, full name, profile picture URL, verified/private flags), paid-partnership indicators, and location metadata; operates without requiring login or cookies and supports pagination via a resumable cursor to page through tagged-post archives, producing uniform records useful for monitoring, analysis, and downstream processing.

Verified Sep 28, 3:55 AM

$0.0015

per tagged post

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

What people use it for

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

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-tagged-posts-scraper","params":{"username":"natgeo","maxItems":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
usernamestringrequiredInstagram username whose tagged posts you want (with or without @). These are posts other accounts tagged this profile in.
maxItemsintegeroptionalMaximum number of tagged posts to scrape. Set 0 for unlimited (caps at platform timeout). Capped at 100 per call.
pageIdstringoptionalOptional. Paste NEXT_PAGE_ID from the previous run's Key-value store to fetch the next page of tagged posts.

Each result contains

FieldTypeDescription
postIdstringPost Id
shortcodestringShortcode
postUrlstringPost Url
mediaTypestringMedia Type
productTypestringProduct Type
takenAtstringTaken At
takenAtTimestampintegerTaken At Timestamp
captionstringCaption
hashtagsarrayHashtags
mentionsarrayMentions
likeCountintegerLike Count
commentCountintegerComment Count
viewCountinteger—
playCountinteger—
videoDurationinteger—
isPaidPartnershipboolean—
thumbnailUrlstring—
videoUrlnull—
authorIdstring—
authorUsernamestring—
authorFullNamestring—
authorProfilePicUrlstring—
authorIsVerifiedboolean—
authorIsPrivateboolean—
locationNamenull—
locationCitynull—

Use Instagram Tagged Posts 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.

  1. 1Copy your personal connector URL
  2. 2In Claude open Settings → Connectors → Add custom connector
  3. 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-tagged-posts-scraper","params":{"username":"natgeo","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-tagged-posts-scraper",
        "params": {"username":"natgeo","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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