Instagram Growth & Engagement Tracker

Instagram

Operated by Sourcelane✓ verified

Collects per-run snapshots of Instagram profiles to create time-series data for growth and engagement analysis. Each run captures profile statistics (follower, following, and post counts; full name and account flags; category and inferred influencer tier), engagement metrics computed from recent posts (average likes, comments, views; engagement rate; date of last post; posting cadence), and growth deltas versus the previous snapshot (changes in counts, days since prior snapshot, and growth per day). The connector analyzes recent posts to compute averages and rates, can be configured to analyze a specified number of recent posts or focus on counts only, and can be executed on a schedule to produce longitudinal snapshots without requiring account login.

Verified Sep 28, 3:55 AM

$0.0035

per profile snapshot

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

What people use it for

Follower growth tracking: build daily or weekly time series of an account’s follower counts and growth metrics
Engagement monitoring: track engagement rate and average likes/comments/views trends over time
Competitor benchmarking: compare growth and engagement across a set of peer accounts
Influencer vetting: verify that follower growth and engagement patterns are steady rather than spiky
Campaign measurement: evaluate the follower and engagement impact of product launches or collaborations

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://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"instagram-growth-tracker","params":{"usernames":["natgeo"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`usernames`	array	required	Instagram usernames to track (with or without @). Run this connector on a schedule to record follower and engagement changes over time - each run reports the change since the previous run.
`postsToAnalyze`	integer	optional	How many of each profile's most recent posts to analyze for average likes, comments, views, engagement rate, and posting frequency. Set 0 to track follower counts only. Max 50.

Each result contains

Field	Type	Description
`username`	string	Username
`fullName`	string	Full Name
`checkedAt`	string	Checked At
`isVerified`	boolean	Is Verified
`isPrivate`	boolean	Is Private
`isBusiness`	boolean	Is Business
`category`	null	Category
`tier`	string	Tier
`followerCount`	integer	Follower Count
`followingCount`	integer	Following Count
`mediaCount`	integer	Media Count
`postsAnalyzed`	integer	Posts Analyzed
`avgLikes`	number	—
`avgComments`	number	—
`avgViews`	integer	—
`engagementRate`	number	—
`lastPostAt`	string	—
`avgDaysBetweenPosts`	number	—
`hasPreviousSnapshot`	boolean	—
`previousCheckedAt`	null	—
`daysSincePrevious`	null	—
`followerDelta`	null	—
`followingDelta`	null	—
`mediaDelta`	null	—
`followerGrowthPerDay`	null	—

Use Instagram Growth & Engagement Tracker 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://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-growth-tracker","params":{"usernames":["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://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "instagram-growth-tracker",
        "params": {"usernames":["natgeo"]},
        "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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