How to Monitor What People Say About Your Product on Reddit

Your support inbox tells you what customers complain about. It does not tell you what people say when they think you are not listening. That conversation happens on Reddit, on Quora, and on a handful of niche forums, and it is usually more honest and more useful.

Google already indexes all of it under the Forums tab in search. Here is how to turn that into a brand monitor you can run on a schedule for a few dollars a month.

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Why not just use the Reddit API

You can, and if you only care about Reddit it is a reasonable choice. But you will need an OAuth app, you will hit per platform rate limits, and you will only see Reddit. The moment you also want Quora, a Stack Exchange site, or an industry forum, you are maintaining a separate integration for each one.

Reading Google's Forums tab sidesteps all of that. One query, one credential, every community Google has indexed.

What the data looks like

The Google Forums API returns one dataset item per results page. Each item holds an array of thread records, and each record has the rank, title, URL, source, snippet, displayed metadata, and post date.

The source field is the one that makes this practical. You can split results by community, filter to Reddit only, or exclude it on purpose to find the smaller forums where the actual domain experts are answering questions.

Setting up the monitor

Start with your product name, then add the phrasings people use when they are unhappy or shopping around. Run each as its own query:

POST /v2/acts/johnvc~google-forums-search-api/runs
Content-Type: application/json

{"q": "yourproduct alternative", "max_pages": 3, "filter": "1"}

Set the maximum pages to 3 and you get roughly 30 threads per query. Turn duplicate filtering on so near identical results collapse. Add a schedule on the Actor and it writes a fresh dataset every morning.

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Reading the results

Sort by post date and you have a timeline of the conversation. Sort by rank and you have the threads Google considers most relevant, which are also the ones your prospects will find when they search for you.

The pattern that pays for itself is querying a competitor's name plus words like "switching from" or "alternative to". Those threads are people explaining, in detail and for free, exactly why they churned.

Driving it from an AI agent

The Actor runs as an MCP tool, so you can skip the code entirely and ask Claude or Cursor directly:

https://mcp.apify.com/?actors=johnvc/google-forums-search-api

Then: "find forum threads from this month about project management tools and summarize the three most common complaints." The agent runs the search and reads the JSON back.

Frequently asked questions

Does this scraper need a Reddit account or API key?

No. It reads Google's Forums tab, so there is no OAuth app, no per platform key, and no separate rate limit for each community.

How many results does the scraper return?

About ten threads per results page. Set the maximum pages to control the volume, or use 0 to fetch every page available for the query.

Can the scraper monitor non English communities?

Yes. It covers 40 plus country and language markets, and you can restrict the language of the results themselves rather than only the interface language.

What can this scraper not do?

It returns thread level metadata and snippets, not full comment trees. If you need every reply in a thread, feed the URLs it returns into a dedicated Reddit scraper. It also cannot see private communities or anything Google has not indexed.

How often should I run the scraper?

Daily is plenty for brand monitoring. Forum threads do not appear and disappear by the hour, and a daily run on a handful of queries costs a few dollars a month.

The input schema, output fields, and worked examples are on the Google Forums API Actor page.