SERP Scraper
200 Questions
Behind Them.
SERP Scraper reads the page in front of you. Every result classified by intent. AI groups everything into content clusters.
The Intent You
Can't See
Three weeks later, the post sits on page four. You pull up the SERP again and actually look: seven of those ten results are informational guides. Google wanted a comparison framework, not a product push. The SERP was 70% informational the whole time.
You couldn’t see it because no tool showed you. Rank trackers report positions. Keyword tools report volumes. Neither tells you what type of content Google is rewarding for that query right now.
SERP Scraper classifies every result by intent — informational, commercial, transactional, affiliate, sponsored — and renders the breakdown as a stacked percentage bar. Before you write a word, you see what Google wants.
Six Layers From
One Search
Filter Bubbles — every refinement chip at the top of the SERP. How Google segments the topic.
Related Products — product carousel suggestions. Commercial intent signals.
People Also Search For — related queries Google suggests after you visit a result.
People Also Ask — every question card, auto-expanded to surface the ones Google hides. Google shows three. Click one and two more appear. Click those and four more surface. SERP Scraper opens and closes PAA cards in random order, scrolls the page, deduplicates everything. Set PAA Expansion Depth from 1 for a quick pass to 5 for the complete question map.
SERP Headings — every H3 page title in order, with position number, domain, and whether the result is organic or sponsored. The raw blueprint of who ranks and why.
Everything appears in a single panel. Each section has a copy button. One click downloads the full dataset as a timestamped text file.
From Raw Data to
Content Strategy
Click AI Cluster and the scraper sends all extracted data — entities, headings, n-grams — to your chosen AI model. It returns semantic clusters (4-8 groups, each with a label, intent tag, and ranked items) plus a full SERP Intent Analysis: every heading classified by intent, a stacked percentage bar showing the breakdown, a SERP Type badge, and a one-sentence verdict for your content strategy.
You see which content angles are informational, which are transactional, and which nobody is targeting yet. Each cluster has its own copy button. Copy All exports everything.
Choose your provider — OpenAI or OpenRouter (hundreds of models, including free ones). Set your model, temperature, and system prompt. Want clusters grouped by funnel stage? Change the prompt. Want content gaps identified? Rewrite the instructions. Save once — every future scrape uses your configuration.
Part of the
SERP Toolkit
Tools that work together in the SERP toolkit.
When you search, Google bolds terms in the results. Not just your exact query - related terms too. Search "personal injury lawyer" and Google bo.
Not all suburbs are equal. "Portable storage melbourne" has 4 ads above the fold and 3 below. "Portable storage eltham" has zero. One query has.
You Google your target keyword. Three ads at the top. You screenshot each one. Paste into a doc. Squint at the headlines. Manually type out the.
Google's result count is buried. Time to render isn't shown. Basic stats require extra effort to find.Search Result Stats displays key metrics p.
Counting search results manually wastes time. "Is that position 5 or 6?"SERP Numbering adds clear position indicators to every organic result. N.
Google marks ads with "Sponsored."The label is gray. It's small. It uses the same font as everything else. It's designed to blend in. Your clien.
