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Llm Sentiment Scraper

Under maintenance

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Llm Sentiment Scraper

Llm Sentiment Scraper

Under maintenance

Scrape Reddit for real human opinions about 30+ LLM models. Sentiment analysis, top comments, and community consensus from r/LocalLLaMA, r/ChatGPT, r/ClaudeAI, and more. The qualitative layer benchmarks can't capture.

Pricing

from $1.00 / 1,000 results

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0.0

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Developer

David Flagg

David Flagg

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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The LLM Field Guide, Phase 2. What people actually think about language models — scraped from Reddit.

What you get

Qualitative human opinions about 30+ language models, scraped from 10 AI-focused subreddits. Each entry includes:

  • Model identification — which model the post is about
  • Post data — title, body, score, comment count, author, URL, flair
  • Sentiment analysis — positive/negative/mixed/neutral label with a -1.0 to 1.0 score
  • Top comments — the most upvoted, most relevant comments from each thread
  • Signal indicators — whether the model is in the title, opinion keyword presence, mention count

Data sources

Posts and comments from these subreddits (configurable):

SubredditFocus
r/LocalLLaMAOpen-weight model comparisons, benchmarks, local deployment
r/ChatGPTEnd-user GPT experiences
r/ClaudeAIClaude-specific discussion
r/OpenAIOpenAI ecosystem
r/ollamaLocal model runners
r/MachineLearningResearch-oriented ML discussion
r/singularityAI capability discussions
r/SillyTavernAICreative writing model opinions
r/KoboldAIAnother creative-writing LLM community
r/artificialBroader AI discussion

Default models tracked

GPT-4o, GPT-4.1, o1, o3, o4-mini, Claude Sonnet 4, Claude Opus 4, Claude Sonnet 3.5, Gemini 2.5 Pro/Flash, Llama 4, Llama 3.3, Mistral Large/Small, Devstral, Qwen 3, Qwen 3.5, QwQ, DeepSeek V3/R1, Grok, Phi-4, Gemma 3, and more.

You can also provide your own custom model list with aliases.

Use cases

  • Model selection — See what real users say before committing to an API
  • Competitive analysis — Track sentiment shifts when new models launch
  • Content creation — Source quotes and opinions for reviews and articles
  • Trend tracking — Run weekly to monitor community consensus over time
  • Pair with benchmarks — Combine with the LLM Benchmark Aggregator for the full picture

No API keys required

Uses public Reddit endpoints. No Reddit API key, no OAuth, no paid tier needed.

Proxy configuration

The actor uses Apify proxy by default to avoid Reddit's IP blocking. Some subreddits (notably r/LocalLLaMA) block datacenter proxies more aggressively. For these, set proxyGroups to ["RESIDENTIAL"] in the input — this uses residential IP rotation and has near-100% success rate, but consumes more Apify credits.