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instagram-reels-transcript-api

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SUMMARY

Instagram Reels Transcript API examples using Apify. Integrations for Python, Node.js, Java, Go, Rust, cURL, batch processing, and MCP workflows for ChatGPT, Claude, and Gemini.

README.md

Instagram Reels Transcript API examples using Apify

Production-ready developer examples for extracting Instagram Reels transcripts with the Apify Actor apple_yang/instagram-transcripts-scraper.

This repository helps developers validate the Actor quickly and integrate transcript extraction into applications, internal tools, databases, and batch workflows. It includes cURL, Python, Node.js, Java, Go, and Rust examples for single URL and batch CSV processing.

Apify Actor

Quick start

  1. Create a local environment file:

    cp .env.example .env

  2. Add your Apify token:

    APIFY_TOKEN='your_apify_token_here'
APIFY_ACTOR_ID='apple_yang/instagram-transcripts-scraper'
INSTAGRAM_SESSIONID=''
MAX_CONCURRENCY=3

  3. Run the cURL quick validation example with a Reel URL as runtime input:

    bash examples/curl/single-url-sync.sh "https://www.instagram.com/reel/your_reel_id/"

  4. Choose a language example for production integration:

Language examples

Language Single URL Batch CSV Directory
cURL Yes No examples/curl/
Python Yes Yes examples/python/
Node.js Yes Yes examples/nodejs/
Java Yes Yes examples/java/
Go Yes Yes examples/go/
Rust Yes Yes examples/rust/

Live demo

If you want to test Instagram transcript extraction without writing code, try the web demo built on top of this API: transcript365.com.

AI and MCP workflows

The API examples in this repository can also be used as building blocks for AI agents and LLM workflows.

For MCP-compatible clients, start with the Apify MCP setup guide:

Platform-specific guides:

Analysis and prompt resources:

When to use this repo

  • Build transcript extraction into your own app.
  • Process batches of Instagram Reel URLs.
  • Feed transcript text into internal tools, databases, or content analysis pipelines.
  • Avoid maintaining your own video download and transcription infrastructure.

Authentication and input

You must provide your own Apify API token. Do not hard-code APIFY_TOKEN in source code, scripts, documentation examples, commits, logs, or shared output files.

Configuration belongs in .env:

  • APIFY_TOKEN
  • APIFY_ACTOR_ID
  • INSTAGRAM_SESSIONID
  • MAX_CONCURRENCY

Instagram Reel URLs are runtime input: pass a single URL as a CLI argument, or provide many URLs in sample-data/instagram-reel-urls.csv for batch examples.

Actor input

{
  "videoUrl": "https://www.instagram.com/reel/your_reel_id/",
  "sessionid": ""
}

videoUrl is the Reel URL for the current request. sessionid is optional configuration and should remain blank unless your integration requires it.

Important output fields

Common fields include:

url, code, id, title, videoUrl, audioUrl, createTime, likeCount, commentCount, userName, userFullName, text, segments, errMsg, timestamp.

See docs/input-output-fields.md for the full field reference.

Repository layout

.
├── docs/
│   ├── batch-processing-guide.md
│   ├── error-handling-and-retries.md
│   ├── input-output-fields.md
│   └── production-integration-checklist.md
├── examples/
│   ├── curl/
│   ├── go/
│   ├── java/
│   ├── nodejs/
│   ├── python/
│   └── rust/
├── sample-data/
│   └── instagram-reel-urls.csv
└── sample-output/
    └── .gitkeep

License

This project is licensed under the MIT License.

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