Find content ideas from Instagram Reels with Python

A skincare brand wants to understand what creators are making about routines and makeup. Rather than guess, start with a small sample of public Reels and build a shortlist that a human can review.

This tutorial uses the Instagram Profile, Reels & Keyword Search Scraper, an Actor I built. It is paid per result. Search results are a sample of what Instagram returns, not a complete ranking of beauty content.

1. Collect a small sample

In the Actor input, switch to JSON and enter the following. The keywords are search terms, not a list of profiles. Set Maximum cost per run in Run options before starting.

{ "targets": [], "keywords": ["skincare routine", "makeup tutorial"], "maxReelsPerKeyword": 10, "includeRelatedSearches": false, "includeDetails": true, "commentsPerPost": 0 } 

In my test on 11 November 2026, this input returned 20 Reels, ten per search term. All 20 rows included a view count. Export the dataset as JSON and save it as reels.json. Each reel row can include a caption, creator username, view count and post URL. Metrics may be missing when they are not available.

2. Turn the sample into a review sheet

Save this script as beauty_reels.py and run it with Python 3. It deduplicates posts returned by both searches and orders rows with available view counts first.

import csv import json with open('reels.json', encoding='utf-8') as source: items = json.load(source) rows = [] seen = set() for item in items: url = item.get('postUrl') if not url or url in seen: continue seen.add(url) views = item.get('videoViewCount') if not isinstance(views, (int, float)) or isinstance(views, bool): views = None rows.append({ 'creator': item.get('ownerUsername') or '', 'caption': item.get('caption') or '', 'views': views, 'post_url': url, 'search_term': item.get('inputValue') or '', }) rows.sort(key=lambda row: row['views'] if row['views'] is not None else -1, reverse=True) def safe(value): value = str(value if value is not None else '') if value.lstrip().startswith(('=', '+', '-', '@')) or value.startswith(('\t', '\r', '\n')): return "'" + value return value fields = ['creator', 'caption', 'views', 'post_url', 'search_term'] with open('beauty_reels.csv', 'w', encoding='utf-8', newline='') as output: writer = csv.DictWriter(output, fieldnames=fields) writer.writeheader() for row in rows: writer.writerow({key: safe(value) for key, value in row.items()}) 

Open beauty_reels.csv in a spreadsheet. Watch the linked Reels and add a manual format column, for example routine, ingredient explainer, review or application tutorial. Those categories are observations by the reviewer, not fields inferred by the script.

3. Prepare a brief for a brand

Choose a few relevant examples and describe the format, the audience question it addresses and an idea the brand could test. For instance, a fictional brief might suggest an ingredient explainer if several reviewed Reels use that format. Link to the originals so the team can inspect context and creative execution.

Views are a snapshot and older Reels have had more time to accumulate them. A small search sample supports ideas for further research, not a conclusion about the whole market.

This article was generated by AI and edited around a practical workflow. The proposed content idea is fictional.