Combine Apify scrapers with Claude or OpenAI to classify, summarize, and analyze web data. The fastest-growing format category on the platform.
Start Scraping with Apify →Raw web data is only half the value. The fastest-growing Apify formats pipe scrape output into Large Language Models — Claude, GPT-4, or open models — to summarize reviews, classify leads, extract entities, or score sentiment. An AI Review Analyzer scrapes hundreds of product reviews, then returns themes, complaints, and feature requests in plain English. That is a workflow, not a single script, and Apify's serverless chains make it repeatable.
Review summarization for product and competitive intelligence. Lead scoring from LinkedIn or directory profiles. Content classification for news monitoring. Support ticket theme extraction from public forums. Each pattern follows the same architecture: Actor A scrapes, Actor B or an integrated step calls an LLM API, output lands in JSON or a webhook. Schedule it daily and your team reads insights, not HTML.
Analysts spending hours reading reviews or social comments do not scale. LLMs process thousands of rows in minutes when fed clean structured input from a scraper. The winning teams treat the scraper as the data layer and the LLM as the interpretation layer — both running unattended in Apify's cloud.
Search the Apify Store for AI, GPT, Claude, or sentiment keywords. Many Actors already combine extraction and analysis. Start with a narrow use case — one competitor's reviews, one product category — validate output quality, then widen inputs. Control LLM costs with batch sizes and caching on Apify.
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