Sourcelane

Instagram Reels Search Scraper

Instagram

Operated by Sourcelane✓ verified

Search Instagram Reels by keyword and scrape captions, view, like and comment counts, author profiles, and video URLs. Find trending and viral Reels in any niche.

Read full description

A keyword-driven Instagram Reels scraper that searches Reels by phrase and extracts structured metadata and media for each matching Reel. It collects captions with extracted hashtags and mentions, timestamps, engagement metrics (views/plays, likes, comments), media details (video URLs, thumbnails, duration), and author profile metadata (username, display name, profile image, verification/private flags). The connector performs targeted Reels search scraping to surface trending and viral short-form videos in any niche, returns one structured record per Reel, and provides a pagination cursor to resume and continue collection across multiple runs; it operates without requiring login or cookies.

Verified Sep 28, 3:55 AM

$0.0015

per reel

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

What people use it for

You give it

  • Search keywordrequired

    A keyword or phrase to search Instagram Reels for (e.g.

Optional settings

Max ItemsPage ID

You get back

Text & content
CaptionHashtags
People & accounts
Author IDAuthor usernameAuthor full nameAuthor is verifiedAuthor is private
Numbers & stats
Like countComment countView countPlay count
Location
Location nameLocation city
Dates
Taken atTaken at timestamp
Links & media
Post URLVideo durationThumbnail URLVideo URLAuthor profile pic URL
Other details
Post IDShortcodeMedia typeProduct typeMentionsPaid partnership

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-reels-search-scraper","params":{"query":"morning routine","maxItems":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
querystringrequiredA keyword or phrase to search Instagram Reels for (e.g. "morning routine", "home workout"). Returns matching Reels ranked by Instagram.
maxItemsintegeroptionalMaximum number of Reels 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 Reels.

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
viewCountnull—
playCountinteger—
videoDurationnumber—
isPaidPartnershipboolean—
thumbnailUrlstring—
videoUrlstring—
authorIdstring—
authorUsernamestring—
authorFullNamestring—
authorProfilePicUrlstring—
authorIsVerifiedboolean—
authorIsPrivateboolean—
locationNamenull—
locationCitynull—

Use Instagram Reels Search 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-reels-search-scraper","params":{"query":"morning routine","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-reels-search-scraper",
        "params": {"query":"morning routine","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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