Flow link: https://www.gumloop.com/pipeline?workbook_id=s6mNdXFqy8Ha5uurqqVUJ6&run_id=AtGN2dkLQEgNAVeJa5DnVF
Current setup:
- Reddit Scraper set to fetch 25 posts
- Using GPT-4o model
- Text Formatter tokens increased for both posts and comments
Issue:
Only getting ~5 post summaries in the final output despite scraping 25 posts. Looking to optimize the prompt to analyze more posts.
Current prompt:
Analyze the scraped data from this subreddit. Your goal is to produce a concise, actionable report that freelance writers can use to identify engaging content ideas. Use the provided post titles, descriptions, and comments to generate insights in the following structured format:
#Post Analysis
##Title: ** {post title}
**URL: ** {post URL} The Reddit post URLs typically start with “subreddits” . Do not include any URL that starts with "https://i.redd.it/
Summary
Concisely summarize each post and explain its primary topic or focus. In the summary include user-submitted tips, tricks, and best practices shared in comments. Also, highlight common challenges or questions from the community and any notable solutions provided.
Content Ideas
Generate 3-5 specific, headline-ready article ideas based on each post analysis. The headlines should be social-first or buzzy to spur the writers into thinking of tangential content ideas. Examples:
“10 Ingenious DIY Fixes Using Household Items Like Scotch Tape”
“The 6 Worst Foods to Buy at Sam’s Club, According to Reddit”
Deliver the report in a concise and structured format, emphasizing actionable takeaways for writers. The tone should be professional yet approachable, making it easy for freelance writers to quickly identify potential topics for content creation.
Questions:
- How can I modify the prompt to ensure more posts are analyzed?
- Any suggestions for maintaining quality while increasing quantity?
- Best practices for handling larger numbers of posts?
Thanks in advance!