Instagram Lead Qualifier

Instagram

Operated by Sourcelane✓ verified

A tool that converts a list of Instagram usernames into scored, actionable leads by scraping profile metadata and applying automated qualification: it extracts profile metadata (name, bio, follower/following/post counts, verification and business indicators, category, website and public contact info), detects the profile's niche, classifies account type (business / creator / personal / brand), assesses brand safety with a short rationale, computes a numeric fit score (0–100) against a provided brand brief or general lead quality, generates a one-sentence explanation for the score, and produces a personalized outreach opener suitable for a DM or email.

Verified Sep 28, 12:10 AM

$0.02

per result

Up to 50 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Influencer and creator partnership shortlists
Outbound lead scoring before manual review
Brand safety screening of profiles before a campaign
Prioritizing a scraped list of profiles by fit

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-lead-qualifier","params":{"usernames":["garyvee","natgeo"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`usernames`	array	required	Instagram usernames to qualify, with or without @. One profile is scored per username.
`brandBrief`	string	optional	Describe your brand, product, or ideal partner. Each profile's fit score is calculated against this. Leave empty to score general lead quality.
`model`	string	optional	Model used for qualification. A fast, low cost model is recommended.

Each result contains

Field	Type	Description
`username`	string	Username
`userId`	string	User Id
`fullName`	string	Full Name
`biography`	string	Biography
`followerCount`	integer	Follower Count
`followingCount`	integer	Following Count
`mediaCount`	integer	Media Count
`isVerified`	boolean	Is Verified
`isBusiness`	boolean	Is Business
`category`	string	Category
`externalUrl`	string	External Url
`email`	string	Email
`phone`	string	—
`profileUrl`	string	—
`niche`	string	—
`accountType`	string	—
`brandSafety`	string	—
`brandSafetyReason`	string	—
`fitScore`	integer	—
`fitReason`	string	—
`outreachOpener`	string	—

Use Instagram Lead Qualifier 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-lead-qualifier","params":{"usernames":["garyvee","natgeo"]},"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-lead-qualifier",
        "params": {"usernames":["garyvee","natgeo"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

Reviews

—

0 reviews

Leave a review

Loading reviews…