Prompt

What's the easiest way to collect product reviews from multiple websites?

Technology / Data Infrastructure1 observationLast seen Jul 15, 2026

Latest observation

Jul 15, 2026OpenAI APIWeb search: off

The easiest way is usually to avoid scraping dozens of sites manually and use a reviews aggregator or social listening/review monitoring tool that already pulls from multiple sources.

Best options, from easiest to most flexible

  1. Use a review aggregation platform

    • Examples: Trustpilot, Bazaarvoice, Yotpo, PowerReviews, ReviewTrackers, Brandwatch, Sprout Social, Mention.
    • Pros: fast setup, dashboards, alerts, often API/export support.
    • Good for: businesses that want ongoing monitoring, not one-off collection.
  2. Use an API-based data provider

    • Some platforms and marketplaces offer APIs for reviews or product data.
    • Pros: more reliable than scraping, easier to automate.
    • Good for: building your own internal system.
  3. Use web scraping only if needed

    • Works when there’s no API or tool.
    • Usually best done with:
      • Python + Playwright/Selenium for dynamic sites
      • Requests + BeautifulSoup for simpler pages
    • Caveat: check each site’s Terms of Service and robots.txt, and be mindful of rate limits.

If you want the simplest practical setup

  • Pick a tool that supports the sites you care about.
  • Export reviews to CSV or connect via API.
  • Normalize fields like:
    • product name
    • review text
    • rating
    • author
    • date
    • source website
    • URL

My recommendation

  • For non-technical users: use an aggregation/monitoring platform.
  • For technical users: use APIs first, scraping second.
  • For a custom solution: build a small pipeline that stores everything in one database and periodically fetches updates.

If you tell me which websites you want reviews from and whether you need a no-code tool or code-based solution, I can suggest the easiest exact setup.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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