Compare sentiment across Twitter, Reddit, and HN

Scrapes recent posts about a topic from three major social platforms using Apify and uses Claude to analyze and compare their sentiments.

$ TOPIC="nuclear energy" && \
(apify call -i "{\"search\":\"$TOPIC\",\"maxItems\":20}" quacker/twitter-scraper | jq '[.[] | {site:"Twitter", text:.full_text}]'; \
 apify call -i "{\"search\":\"$TOPIC\",\"maxItems\":20}" trudax/reddit-scraper | jq '[.[] | {site:"Reddit", text:.title}]'; \
 apify call -i "{\"query\":\"$TOPIC\",\"maxItems\":20}" lukaskrivka/hacker-news-scraper | jq '[.[] | {site:"HN", text:.title}]') \
| jq -s 'flatten' \
| claude -p "Analyze sentiment for '$TOPIC' across platforms. Output a markdown table comparing Twitter, Reddit, and HN."

1. [01] bashTOPIC="nuclear energy"
   Sets the search topic as an environment variable to ensure consistency across the three scraper calls.
2. [02] apifyapify call -i "{...}" <actor>
   Invokes Apify actors for Twitter, Reddit, and Hacker News to scrape recent posts matching the topic.
3. [03] jqjq '[.[] | {site:"...", text:...}]'
   Normalizes the disparate JSON schemas from the three scrapers into a standard format.
4. [04] jqjq -s 'flatten'
   Slurps the three separate JSON arrays into a single, unified flat array of posts.
5. [05] claudeclaude -p "Analyze sentiment..."
   Prompts the Claude LLM to read the combined JSON and perform a cross-platform sentiment analysis.

| Platform | Sentiment | Key Themes |
|---|---|---|
| Twitter | Highly Polarized | Quick reactions, political framing, high emotion |
| Reddit | Cautiously Optimistic | Technical discussions, regulatory concerns, long-form debate |
| Hacker News | Pragmatic / Positive | Engineering challenges, startup opportunities, cost analysis |

• Apify actors are maintained by third parties; their input schemas (like `search` vs `query`) or output formats may change over time.
• Running multiple scrapers concurrently consumes Apify compute units (CUs) and Claude tokens; monitor your billing limits.