INSTAGRAM EDITS SDK · PYTHON

From a Reel
to a clearer picture.

Bring Reel statistics, audience insights and retention curves into your own tools. A small Python SDK, with the research behind every method.

Get startedGet a retention curve ↗

Unofficial · Python 3.10+ · No runtime dependencies

Built by Oleg Lupikov

A REEL, IN A FEW LINES PYTHON

from edits_api import EditsClient

client = EditsClient.from_env()
reel = client.reel_insights(reel_url)

print(reel.metrics["play_count"])

if reel.retention_available:
    for point in reel.retention:
        print(point.index, point.percent)

Your account. Your data. Your backend.

9read operations exercised live

15documented operation contracts

45tests passed for the PyPI wheel

Start with the question you have

01 / CONNECT

Get your first statistics

Install the package, provide your session, and read an owned Reel.

Quickstart → 02 / UNDERSTAND

Find where viewers leave

Get the numerical curve, preserve gaps, and export the result.

Retention guide → 03 / EXPLORE

Go beyond retention

Views, engagement, account trends, audience data and paginated Reels.

Data reference →

Evidence is part of the API

Seven of the nine tested read operations returned data. Comment analysis returned null; Kits returned an empty list. The documentation keeps those results distinct from a working, populated feature. All live checks were on one consenting account on 18 October 2026.

Internal endpoints can change. This project is independent of Meta. A method found in an APK is not automatically a supported or available API. Every contract includes its evidence level.

See what was verified · Browse the operation catalog · Open Swagger