We capture Google and Bing results for any keyword lists: organic results, ad blocks, SERP features, autocomplete suggestions, “people also search for.” Any locations, languages, and devices. Delivered structured — file, feed, or API — for SEO, analytics, and your products.
SERPs are raw material for dozens of tasks: from SEO analytics to model training and brand monitoring.
Pull SERPs for large keyword sets: rankings, snippets, competitors, SERP features.
Use SERP data in your own tools and analytics via API.
See what people search for and what they find on brand and category queries.
Build SERP datasets for research and model training.
Three engagement models to fit the task: a one-time extraction, recurring data delivery, or a custom solution. We price against your sources, volume, and frequency — the quote arrives before work starts.
Capture the data once — for research, migration, or analysis.
Data refreshes on a schedule you set — weekly, daily, or hourly — and arrives on its own.
Turnkey data as a service: API access, DaaS, or a ready-made interface, dozens of sources, and an SLA.
The total is built from clear factors. We send a quote and a data sample before work begins.
Describe the task and volume — we'll come back with pricing, timeline, and a data sample within one business day.
The full structure of the results page: organic results with titles, URLs, and snippets; ad blocks; SERP features and special elements — maps, shopping, video, questions; suggestions and related searches. Every element carries a type and a position: you see not just who ranks where, but how the whole page is built.
Capture runs from the location, language, and device type you need: results differ radically between cities and on mobile. We work with Google and Bing in any country.
SEO teams get an honest picture across large keyword sets without rank-tracker limits: competitor snippets, SERP structure, and the share of SERP features eating into organic traffic. Products plug SERP data into their own tools via API.
Researchers and ML teams get SERP datasets in a single schema — for algorithm analysis, misinformation monitoring, and model training.
CSV, JSON, Excel, a recurring feed, or a real-time API. We fit the data schema to your system; for large volumes we provision dedicated infrastructure for the project.
Before the start we send a free sample for your keywords — you see the structure and completeness of the data.
We've been collecting data from search engines, ads, and open sources since 2015 — and we know monitoring is only valuable when the data arrives reliably, with no gaps.
Not just the top 10: ads, SERP features, suggestions — the whole page as data.
Capture from the exact location and device — the SERP your user actually sees.
Millions of queries per month on a stable schedule — no gaps in the data.
Files, a feed, or a real-time API — fitted to your process and product.
A transparent process: a quote and a data sample before work begins. No hidden fees, no surprises.
You send the keywords, search engines, locations, and desired frequency.
A data sample and an exact price — before work begins.
We configure the locations, schedule, and data schema.
Scheduled capture — files, a feed, or an API.
Structured SERPs — raw material for SEO, analytics, and products.
Organic, ads, SERP features, and suggestions — with types and positions.
Past captures are stored — SERP dynamics are available for any period.
A data stream into your systems — from files to a real-time API.
Locations, languages, and devices — the SERP through your user's eyes.
Content and ad monitoring is part of a larger data system. We'll build the right track for your task.
If you don't see the answer you need, send a request — we reply within one business day.
Google and Bing — in any country, location, and language; we add other engines (DuckDuckGo, Yahoo, Baidu, Naver) on request.
Ad blocks, SERP features (maps, shopping, video, questions), suggestions, and related searches — every element with its type and position.
From one-off lists to millions of queries per month with daily capture — the infrastructure scales with the project.
Yes, noticeably. Device type is set in the capture parameters — you can capture both versions in parallel.
Base pricing starts at $150. The final price depends on the number of sources, data volume, update frequency, anti-bot complexity, and extra processing. We send an exact quote and a data sample before work begins.