How to Scrape Snapchat Spotlight Comments for Social Research

Описание и применение

Автоматизированный скрипт для сбора комментариев из Snapchat Spotlight без логина и браузера, позволяющий быстро получать структурированные данные о реакции аудитории.

Задача

Collecting public comment data from Snapchat Spotlight is difficult because comments are embedded in the mobile app and lack a public API, hindering competitive analysis, influencer auditing, and sentiment research.

Результат

The scraper decodes base64‑encoded JSON embedded in Spotlight pages, retrieving comment text, user info, reactions, ranking scores, and timestamps without browser automation or authentication. It outputs each comment as a structured record and handles errors gracefully.

Рабочий процесс

• 1. Choose scraping mode: byUsername or bySpotlightUrl
• 2. Provide target inputs: usernames array or spotlightUrls array
• 3. Set maxCommentsPerSnap (default 100, up to 1000)
• 4. Optionally configure proxyConfiguration
• 5. Run the Apify actor
• 6. Export dataset as JSON/CSV/Excel or via API/webhooks

Доказательства

The scraper decodes base64‑encoded JSON directly from public page HTML

Источник