Startup idea radar: finding validated ideas with Reddit, Search, and News data

Startup idea radar: finding validated ideas with Reddit, Search, and News data

Startup ideas rarely arrive as neat pitch decks.

They show up as complaints, repeated questions, "alternative to..." threads, half-solved workflows, and long comments explaining why an existing product almost works.

A startup idea radar is a repeatable research workflow that collects public pain signals — Reddit complaints, Google search intent, and news momentum — and scores them, instead of relying on a single brainstorm or gut feeling. This Apify idea radar collects those signals from Reddit, Google Search, and Google News so a founder can rank pains before building.

Quick answer

Use Reddit scraping to find raw user complaints, Google Search scraping to understand search intent and competing content, and Google News scraping to track market momentum. Combine the datasets to rank startup ideas by pain frequency, buyer intent, competition, and trend activity.

The startup research stack

The research stack uses:

1. Reddit Keywords and Reddit Scraper-style Actors for problem discovery.
2. Google Search Results Scraper for search intent, People Also Ask, and competitor pages.
3. Google News Scraper for market news and trend validation.

The idea discovery loop:

\
Idea keywords
-> Reddit complaint mining
-> Google search intent
-> news and trend context
-> scored idea backlog
\\

Key facts

• 3 sources, 3 jobs: Reddit finds pain, Google Search finds commercial intent, Google News finds market momentum.
• A signal is strongest when it appears in more than one source: a Reddit complaint plus matching search queries plus category news is far more convincing than any one alone.
• Exact phrases beat generic keywords: complaint phrases like "alternative to" or "too expensive" surface pain that broad keyword volume misses.
• Boring, repeated pains tend to win: reporting, lead enrichment, price tracking, hiring signals, and data cleanup outperformed novelty ideas in practice.

Reddit finds pain

Reddit is useful because people complain in detail. They don't say "workflow optimization opportunity." They say the tool broke, the pricing is unfair, the integration is missing, or the support team ignored them.

Search for patterns like:

• "alternative to"
• "is there a tool for"
• "I hate using"
• "too expensive"
• "doesn't integrate with"
• "manual spreadsheet"
• "looking for recommendations"

The output gives threads, titles, scores, subreddits, URLs, and sometimes comment data depending on the Actor stage.

Actor configuration that matters

For idea discovery, the exact query set matters more than the tool choice. Start Reddit Keywords with complaint and alternative phrases, then use Google Search Results Scraper for the same problem terms.

\json
{
"keywords": [
"alternative to airtable",
"too expensive crm",
"is there a tool for client reporting",
"manual spreadsheet workflow"
],
"resultLimit": 100,
"sort": "relevance"
}
\\

Then pass the strongest terms into Google Search and Google News. Search shows whether the problem has commercial intent. News shows whether the category is moving.

What the output looks like

For each idea, keep both the evidence and the score:

\json
{
"idea": "client reporting automation for agencies",
"source": "reddit",
"query": "manual spreadsheet client reporting",
"title": "How are you all sending weekly client reports?",
"subreddit": "agency",
"score": 87,
"commentsCount": 42,
"url": "https://old.reddit.com/r/..."
}
\\

The score is never enough on its own. Keep the original title, source, and URL because the wording is often the insight. A founder can learn more from one angry thread than from a sterile keyword-volume number.

In a small Reddit Keywords run for "alternative to airtable", the Actor returned five posts. The output included keyword, post_id, title, author, subreddit, content, score, num_comments, url, old_reddit_url, link_flair, created_at, is_stickied, and is_nsfw. This is the exact kind of public pain signal you want for idea validation.

Google Search finds intent

Reddit pain is not enough. Some complaints are loud but not commercial.

Google Search Results Scraper helps check whether people also search for the problem. Look at:

• organic competitors
• People Also Ask questions
• related searches
• result count
• ranking page types
• country-specific differences

If Reddit has pain and Google has commercial pages, the idea becomes more interesting.

News finds momentum

Google News adds market context. A boring problem in a growing market can be more valuable than an exciting problem in a shrinking one.

Monitor:

• funding announcements
• regulation changes
• layoffs
• category growth
• enterprise adoption
• platform policy shifts

This helps separate durable markets from temporary noise.

How to score ideas

A lightweight scoring model uses five dimensions:

• pain frequency
• pain intensity
• buyer intent
• competitive saturation
• market momentum

A great idea doesn't need a perfect score. It needs enough evidence to justify deeper research.

What a good signal looks like

A useful idea signal usually appears in more than one source.

Reddit might show people complaining that existing tools are too expensive. Google Search might show "best X alternative" and "X pricing" queries. Google News might show funding or regulation in the category. Together, those signals suggest a market with pain, intent, and movement.

A weak signal looks different. One viral Reddit thread may create noise, but if Google has no related searches and news is quiet, the pain may be too narrow. That doesn't mean the idea is bad — it means you need interviews before treating it as a market.

Also look for language patterns. The exact words people use in complaints can become landing page copy later. "I just want a simple way to..." is more valuable than a generic keyword because it captures the job-to-be-done.

The research backlog

Every idea becomes a row in a backlog:

• idea name
• source keywords
• strongest Reddit threads
• strongest search queries
• related competitors
• recent news links
• pain score
• intent score
• notes from manual review

This keeps the workflow practical. The goal is not to automate taste. The goal is to make your taste better informed.

Where Apify helps

The advantage of Apify is repeatability. A founder can run the same research workflow every week without rebuilding scrapers or copying search results by hand.

That matters because startup research changes. A pain point that looked small in January may explode after a platform policy change in March. A category that looked crowded may become interesting when users start complaining about pricing. Scheduled Actor runs create a trail of evidence instead of a pile of one-off notes.

Manual reading of the best threads is still worth it. Automation narrows the field. Judgment picks the idea. The best outcome is not more ideas — it's fewer, better-tested ones.

Production notes

Search exact phrases. Generic keywords produce generic results. Complaint phrases reveal pain.

Keep subreddit context. A complaint in a founder subreddit means something different from the same complaint in a hobby subreddit.

Read comments, not only titles. The best details are usually in comment threads.

Do not confuse trendiness with demand. News volume can mean hype. Pair it with search and Reddit evidence.

Store rejected ideas. Rejected ideas are useful when the market changes.

Novelty isn't the goal. The best ideas were rarely the weirdest ones — they were boring problems with repeated pain: reporting, lead enrichment, price tracking, hiring signals, and data cleanup. Scraping helps you see repetition, which is usually more valuable than surprise.

Cost comparison

Approach	Strength	Weakness
Founder intuition	Fast	Biased
Surveys	Direct answers	Slow and prompted
Keyword tools	Search volume	Weak on raw pain
Apify idea radar	Public pain plus intent	Needs human judgment

Check the current Actor Pricing tabs before running at scale. This workflow is usually cost-controlled by small, targeted runs instead of broad scraping.

FAQ

Can scraping help validate startup ideas?

Yes. Scraping public discussions, search results, and news can reveal recurring problems and market signals.

Why use Reddit for startup research?

Reddit has detailed public discussions where users describe problems in their own words.

Does this replace customer interviews?

No. It helps you choose better ideas before interviews.

What's the fastest way to try this?

Pick one market, run Reddit keyword searches for complaint phrases, scrape Google Search results for the same problem, and collect recent news.

Try it yourself

Pick one market. Run Reddit Keywords for complaint phrases, scrape Google Search Results Scraper for the same problem, and collect recent news with Google News Scraper. If all three sources point to the same pain, you have something worth investigating.