Who it’s for: Social/community managers, product managers, ecommerce managers, market analysts, founders, support leads, growth and PR teams. When to use it: You need a repeatable workflow to spot conversations early, classify sentiment, and follow up.

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What You’ll Accomplish

  • A daily pipeline that finds and tracks brand/competitors, reviews and etc.
  • Clear context + sentiment per mention
  • Optional Schedulers so monitoring runs automatically at set times

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Use Case A — Reddit Monitor

Use when: You need a reliable daily scan of brand/competitor mentions on Reddit.

Prompt: Act as a Social Media Monitoring Specialist. Your task is to track competitor conversations on Reddit. Identify up to 10 recent posts (from the last month) that mention the competitor, [“Manus AI”]. Save the results in a CSV format with the following columns: Post URL, Username, Subreddit, and Mention Context. Execution Steps:
  1. Open http://reddit.com
    • Navigate to the Reddit homepage to use its search functionality.
  2. Search Reddit for Competitor Mentions:
    • Use Reddit’s search bar with various keywords to find relevant posts. Filter the results by “Last Month” to ensure they are recent.
    • Generate and use a variety of keywords, including but not limited to:
      • “Manus AI”
      • “Manus review”
      • “alternatives to Manus”
      • “Manus vs”
  3. Gather Posts and Context:
    • Browse the search results and identify posts that contain genuine mentions of the competitor.
    • For each relevant post, collect the following information:
      • Post URL: The direct link to the Reddit post.
      • Username: The Reddit username of the original poster.
      • Subreddit: The subreddit where the post was made (e.g., r/copywriting).
      • Mention Context: Classify the tone and intent of the mention (e.g., ‘Positive Review’, ‘Complaint’, ‘Asking for Alternatives’, ‘Comparison’).
  4. Save Data:
    • Compile the collected details into a CSV file with the columns: Post URL, Username, Subreddit, Mention Context.

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Use Case B — Facebook Marketplace

Use when: You need to collect watch listings in London, UK from Facebook Marketplace for quick price and seller benchmarking.

Prompt: Act as a Market Research Analyst. Your task is to gather data on ‘watch’ listings from Facebook Marketplace. Set the location to London, United Kingdom, and identify the top 15 listings based on the search. Save the results in a CSV format with the following columns: Listing Title, Price, Seller Name, and Listing URL. Execution Steps:
  1. Open Facebook.com
    • Navigate to Marketplace and Set Location.
    • From the main menu, go to the Facebook Marketplace section.
    • Click on the current location filter and change it to “London, United Kingdom”. Ensure the radius is set appropriately (e.g., within 50 km).
  2. Search for Products
    • Use the search bar within Marketplace to search for the keyword: watch.
    • Review the search results as they appear.
    • Gather Listing Information
    • Browse the search results and identify the first 15 unique product listings.
  3. For each relevant listing, collect the following information:
    • Listing Title: The full title of the product for sale.
    • Price: The listed price, including the currency symbol (£).
    • Seller Name: The name of the individual or page selling the item.
    • Listing URL: The direct URL to the product listing.
  4. Save Data
    • Compile the collected details into a CSV file with the columns: Listing Title, Price, Seller Name, Listing URL.

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Use Case C — Craigslist Monitoring

Use when: You need a fast sweep of used IT/electronics deals at or under $100 in a specific city via Craigslist.

Prompt: Act as a Market Researcher. Your task is to find listings for used IT products on Craigslist in the [City, State, e.g., “San Francisco, CA”] area. Search within the ‘electronics’ category and filter the results to a maximum price of $100. Identify and collect data for up to 20 relevant listings. Save the results in a CSV file with the following columns: Listing Title, Price, Location, and Listing URL. Execution Steps:
  1. Go to Craigslist
    • Navigate to craigslist.org and select the specified city (e.g., “San Francisco Bay Area”).
  2. Navigate and Apply Filters
    • Under the “for sale” section, click on the “electronics” category.
    • Locate the search filter options. In the price field, enter 100 into the “max $” box and press enter or update search.
  3. Search for Products
    • Use the search bar at the top of the ‘electronics’ page to look for general IT-related items.
    • Use keywords such as computer, monitor, networking, parts, or keyboard.
  4. Gather Listing Information
    • Browse the filtered search results and identify up to 20 unique listings for IT products.
    • For each relevant listing, collect the following information:
      • Listing Title: The full title of the Craigslist post.
      • Price: The listed price, including the currency symbol ($).
      • Location: The neighborhood or area specified in the listing (e.g., ‘downtown / civic / van ness’).
      • Listing URL: The direct URL to the product listing.
  5. Save Data
    • Compile the collected details into a CSV file with the columns: Listing Title, Price, Location, Listing URL.

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Best Practices

  1. Create a Profiles from Nextbrowser feature. Sign in to Reddit/X/Quora once. After you create it, select the relevant profile from the chatbar so every run uses the same trusted identity.
  2. Pick a Location/Proxy near your audience (e.g., US for .com topics). A region‑matched proxy helps reduce bot detection and imitate human browsing (consistent IP/geo/time‑zone).
  3. Schedulers (optional): set time‑based triggers (e.g., 09:00 “morning sweep”, 14:00 “afternoon sweep”).
  4. Safety & realism: avoid bursty behavior; keep tabs low; scroll naturally; reuse the same profile.
Tip: Use one profile per brand/region to keep logins and reputation clean across platforms.

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Implement Features

Want to apply Nextbrowser features to your prompts using best practices? This guide shows you how.

Location Customization

Change your location and mimic human behavior to pass geo-restrictions and bots

Task Scheduler

Schedule tasks to run automatically at any specific set times you desire

Profiles

Stay signed in as the same person to browse, collect, and engage on social platforms smoothly.

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Writing Cool Prompts

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1. Declare the environment

  • Profile: Name it and select it from the chatbar.
  • Location/Proxy: Match region to audience to reduce checks.
  • Schedulers: 1–2 daily sweeps; vary times.

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2. Start with a crisp objective & persona

  • Role: Who is acting? (Social Listening Specialist).
  • Outcome: Exact volume & freshness (e.g., capture up to 10 mentions from the last month with context + tone).
  • Scope: Platforms, brand & competitor terms, regions/languages.

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3. Make instructions unambiguous

  • Imperatives: Open… Search… Filter (Last Month)… Open top results… Classify tone… Save…
  • Include keyword variants (brand, review, vs, alternatives, misspellings).
  • Require context capture: surrounding snippet or thread summary.

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4. Always specify the output format

  • Name files & headers:
    • reddit_mentions_{YYYYMMDD}.csv → Post URL; Username; Subreddit; Mention Context; Tone

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Common Fails & Fixes

  • Too few results → Add synonyms/misspellings; widen time window; switch region.
  • Forgetting context → Always add 1–2 sentence snippet so responders have background.
  • No tone label → Default to Neutral if unsure.
  • Running at identical times → Vary Schedulers ±10–20 min; skip a slot weekly.