Sourcelane

Instagram Reels Transcript Extractor

Instagram

Operated by Sourcelane✓ verified

A scraper and speech-to-text connector that converts public Instagram reels and video posts into structured transcription and metadata: it performs automatic speech recognition to produce full spoken transcripts, word counts, the opening hook line and its start time, sentence-level timestamped segments (start/end in seconds) suitable for SRT-style captions, automatic language detection across 100+ languages, and enriched post metadata (unique identifier and URL, creator username and display name, verification status, caption text, publish date, duration, play/like/comment counts, thumbnail and video URLs). The connector runs without login/cookies or a browser, detects music-only reels and flags them as speechless while still returning metadata, reports per-item processing status with error details when applicable, and supports batch processing of large sets of reels and creator profiles.

Verified Sep 28, 3:55 AM

$0.009

per reel transcript

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

What people use it for

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-transcript-scraper","params":{"reelUrls":["https://www.instagram.com/reel/DHsD6HGqJhp/"],"maxItems":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
reelUrlsarrayoptionalInstagram reel or video post links, one per line (https://www.instagram.com/reel/ABC123/ or /p/ABC123/). Shortcodes on their own also work.
usernamesarrayoptionalPublic Instagram usernames or profile URLs. The connector pulls each creator's newest reels automatically (see Max reels per creator).
maxReelsPerUserintegeroptionalHow many of the newest reels to transcribe for each username.
includeSegmentsbooleanoptionalAdd a segments array (start, end, text in seconds) to every reel row. The full transcript, hook and language are always included.
languagestringoptionalSpoken language hint: 'auto' or a 2-letter ISO code (en, es, pt, de...).
maxItemsintegeroptionalSafety cap on the total number of reels transcribed in this run. 0 = no cap (up to 1,000). Capped at 100 per call.

Each result contains

FieldTypeDescription
statusstringStatus
errornull—
sourcestringSource
shortcodestringShortcode
postUrlstringPost Url
mediaIdstringMedia Id
usernamestringUsername
fullNamestringFull Name
isVerifiedbooleanIs Verified
captionstringCaption
takenAtstringTaken At
durationSecondsintegerDuration Seconds
likeCountintegerLike Count
commentCountinteger—
playCountinteger—
thumbnailUrlstring—
videoUrlstring—
languagestring—
transcriptstring—
wordCountinteger—
hookstring—
hookStartSecondsinteger—
segmentsnull—
minutesTranscribedinteger—
scrapedAtstring—

Use Instagram Reels Transcript Extractor 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.

  1. 1Copy your personal connector URL
  2. 2In Claude open Settings → Connectors → Add custom connector
  3. 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-reels-transcript-scraper","params":{"reelUrls":["https://www.instagram.com/reel/DHsD6HGqJhp/"],"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-transcript-scraper",
        "params": {"reelUrls":["https://www.instagram.com/reel/DHsD6HGqJhp/"],"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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