Sourcelane

Instagram Story Scraper

Instagram

Operated by Sourcelane✓ verified

Fetch Instagram stories (images & videos) for any public profile. Returns story media URLs, timestamps, and profile metadata.

Read full description

Extracts Instagram Stories (images and videos) and profile metadata from Instagram accounts, returning structured, per-user records that include active story items with direct media URLs, media type, post timestamps, swipe-up/link sticker URLs, and tagged usernames. The connector performs batch profile queries, groups results by username, and provides machine-readable story data (media files, timestamps, links, mentions, and profile-level metadata) without requiring an Instagram account.

Verified Sep 28, 3:55 AM

$0.015

per result

Up to 66 per call. Only pay for results returned; failed calls are refunded.

What people use it for

You give it

  • Usernamesrequired

    List of Instagram usernames to fetch stories for

You get back

People & accounts
UsernameDisplay name
Numbers & stats
Stories count
Links & media
Profile pic URL
Other details
Stories

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-story-scraper","params":{"usernames":["instagram"]},"maxResults":10}'

Request params

FieldTypeRequiredDescription
usernamesarrayrequiredList of Instagram usernames to fetch stories for (max 20)

Each result contains

FieldTypeDescription
usernamestringUsername
displayNamestringDisplay name
profilePicUrlstringProfile picture
storiesCountintegerStories
storiesarrayStories

Use Instagram Story 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. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
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-story-scraper","params":{"usernames":["instagram"]},"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-story-scraper",
        "params": {"usernames":["instagram"]},
        "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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