Instagram Influencer Analytics Scraper

Instagram

Operated by Sourcelane✓ verified

A scraper that analyzes Instagram creator profiles to produce decision-ready influencer analytics: it collects profile metadata and computes structured engagement metrics (separate feed engagement normalized by followers and short-form video engagement normalized by views), posting cadence and recency, content mix (photos, videos, carousels, Reels), authenticity/quality ratios (save-to-like and comment-to-like signals), sponsored-content detection (official paid-partnership tags and caption keywords), topic signals (top hashtags and @mentions), and top-performing posts with URLs; it runs at scale across many usernames in batch, returns one structured record per creator, and includes data-quality/coverage flags and normalized interaction metrics for cross-account comparisons.

Verified Sep 28, 3:55 AM

$0.035

per creator

Up to 28 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Influencer vetting: calculate engagement, check authenticity signals, and review brand-deal history before outreach
Campaign planning: compare dozens of creators side-by-side with consistent metrics for selection and budgeting
Talent discovery and shortlisting: filter creators by posting frequency, engagement, and Reels skew to match briefs
Competitive intelligence: track how creators aligned with a brand are posting, tagging, and which competitors sponsor them
Creator scorecards and reporting: build standardized metrics and leaderboards across large creator cohorts
Data for AI agents and LLMs: supply clean, structured per-creator records for outreach generation, scoring, or recommendation workflows

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-influencer-analytics-scraper","params":{"usernames":["natgeo"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`usernames`	array	required	Public Instagram usernames to analyze (with or without @). Private accounts will produce a logged failure record.
`feedSampleSize`	integer	optional	Maximum number of recent feed posts to analyze per creator. Larger samples cost more HikerAPI calls.
`clipsSampleSize`	integer	optional	Maximum number of recent Reels to analyze per creator. Larger samples cost more HikerAPI calls.

Each result contains

Field	Type	Description
`username`	string	Username
`creator`	object	—
`engagement`	object	—
`cadence`	object	—
`content_mix`	object	—
`quality`	object	—
`sponsored`	object	—
`topics`	object	—
`top_posts`	array	—
`coverage`	object	—

Use Instagram Influencer Analytics 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.

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-influencer-analytics-scraper","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-influencer-analytics-scraper",
        "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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