ScrapeBadger × ReddMatch

How ScrapeBadger found 48 relevant Reddit leads

ScrapeBadger operates in a technical niche where buyers rarely describe their problem with the exact language found on a product page. ReddMatch helps Dom find the conversations behind those problems.

Match the problem even when ScrapeBadger is never mentioned
Review pain, desired outcome, and intent before replying
Keep discovery repeatable without automating Reddit engagement

Get 3 free Reddit leads View pricing

Product

ScrapeBadger

48Leads found

Product summary

A web scraping API that extracts data from any website and delivers clean HTML or Markdown.

Customer problem

Developers and teams collecting web data face blocked requests, unreliable scrapers, and incomplete results.

One of 48 leads found

Tool Seeking
How are you scraping real ChatGPT / Gemini UI / AI mode results for custom GEO dashboards?

The challenge

A specific product needs more than broad keyword alerts

Potential buyers talk about fingerprinting, blocked scrapers, proxy management, browser sessions, or unreliable data collection. Literal alerts can find matching words while missing whether the underlying situation actually fits ScrapeBadger.

The problem is described indirectly

A relevant buyer may describe blocked sessions, proxy maintenance, or unreliable collection without asking for a scraping product by name.

Keyword overlap is not enough

A post can contain the expected technical terms while describing a situation that does not fit ScrapeBadger or a person who is not looking for help.

ReddMatch started from ScrapeBadger's actual market

The product context explains why a conversation belongs in the feed. Matching starts from the product summary, customer problem, customer goal, and ideal customers instead of a generic Reddit query.

Product summary

A web scraping API that extracts data from any website and delivers clean HTML or Markdown.

Ideal customers

Data analysts

Market researchers

Ecommerce developers

Customer problem

Developers and teams collecting web data face blocked requests, unreliable scrapers, and incomplete results, making it difficult to build dependable products, research workflows, and reporting.

Customer goal

Collect reliable, structured web data without maintaining scraping infrastructure internally.

The results

A focused feed built around relevance, not volume

Dom gets a focused set of Reddit conversations to review, without depending on exact keyword matches.

The results

ScrapeBadger

48Leads found

Result at a glance

People were actively asking for scraping tools and more reliable ways to collect data—not just discussing scraping in general.

01Product-awareMatching

The situation behind the post is compared with ScrapeBadger's approved context.

02Narrow-marketQualification

Broad scraping discussions are separated from problems the product can genuinely address.

03Human-ledEngagement

Dom decides whether to respond and writes the final Reddit reply himself.

Recurring conversation themes

AI interface data extractionReliable email scrapingAmazon competitor research

Three of the 48 leads ReddMatch found

These are real Reddit conversations surfaced during the ScrapeBadger analysis. Each person was actively looking for scraping tooling or a more reliable way to collect data.

u/HungryCandy5015 r/SEO_ExpertTool Seeking

How are you scraping real ChatGPT / Gemini UI / AI mode results for custom GEO dashboards?

Why it matched

The author is explicitly asking how to scrape AI interfaces for a custom data product.

u/Wonderful-Ad-0 r/startupsTool Seeking

Need a reliable email scraper—tried a bunch, they all break

Why it matched

The author is actively looking for a reliable scraper after several existing tools failed.

u/Objective-Fun-4533 r/AmazonsellercentralTool Seeking

Best Amazon scraping tools for competitor product research?

Why it matched

The author is directly asking for scraping-tool recommendations for competitor research.

From matched lead to a useful response

ReddMatch handles discovery, context, and reply generation. Dom reviews the draft, adapts it to the conversation, and publishes it from his own Reddit account.

Matched lead

A relevant conversation is added to ScrapeBadger's Lead Feed.

Review context

Dom reads the original post, pain, outcome, and intent before deciding whether it fits.

Generate reply

Dom chooses a reply style and ReddMatch generates a draft grounded in the post and ScrapeBadger.

Edit and post

Dom checks the draft, copies it to Reddit, adapts it to the community, and publishes it himself.

From noisy early results to a workflow he kept using

Finding the right conversations in ScrapeBadger's niche took refinement. Dom's early feedback helped shape that process.

Early signal

The early feed contained useful matches, but too many conversations were broad or irrelevant.

Direct feedback

Dom explained which results belonged and which ones missed the product's actual market.

Sharper matching

The feed improved around the technical problems and buying situations that matter to ScrapeBadger.

Customer story

A workflow that became part of how ScrapeBadger finds leads

Dom challenged the early results, saw the matching improve, and kept ReddMatch as part of how he finds leads.

"Been using ReddMatch since the early days. At the start it was pretty noisy and gave me a lot of irrelevant stuff. I reached out to @geluhorotan, gave some feedback, and he actually listened. The tool now is way better. I'm in a small niche, so Reddit is one of my main ways to find leads. ReddMatch has become part of how I do it. Great product for the price. Worth it if Reddit matters to your business."

Read the original on

Dom Sakavickas

Co-Founder at Scrape Badger

Find relevant Reddit leads for your product

Add your website to preview leads matched to the problems your product solves.

Get 3 free Reddit leads

Features

Get relevant Reddit leads immediately Find posts keywords miss Get new leads before they go cold See what each person actually needs Generate a reply that fits the conversation

Resources

Support Privacy Policy Terms and Conditions

"Been using ReddMatch since the early days. At the start it was pretty noisy and gave me a lot of irrelevant stuff. I reached out to @geluhorotan, gave some feedback, and he actually listened. The tool now is way better. I'm in a small niche, so Reddit is one of my main ways to find leads. ReddMatch has become part of how I do it. Great product for the price. Worth it if Reddit matters to your business."

Read the original on

Dom Sakavickas

Co-Founder at Scrape Badger

Mobile Sidebar

How ScrapeBadger found 48 relevant Reddit leads

ScrapeBadger

Product summary

Customer problem

A specific product needs more than broad keyword alerts

The problem is described indirectly

Keyword overlap is not enough

ReddMatch started from ScrapeBadger's actual market

Product summary

Ideal customers

Customer problem

Customer goal

A focused feed built around relevance, not volume

ScrapeBadger

Three of the 48 leads ReddMatch found

How are you scraping real ChatGPT / Gemini UI / AI mode results for custom GEO dashboards?

Need a reliable email scraper—tried a bunch, they all break

Best Amazon scraping tools for competitor product research?

From matched lead to a useful response

Matched lead

Review context

Generate reply

Edit and post

From noisy early results to a workflow he kept using

Early signal

Direct feedback

Sharper matching

A workflow that became part of how ScrapeBadger finds leads

Find relevant Reddit leads for your product