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Data Marketplace · Search & AI answers

Google SERP Results Dataset

Monitor Google result snapshots with query, location, language, device, result type, rank, destination, and collection time connected.

Request Google Search sampleView fields
  • Records Query · SERP snapshot · Result
  • Source Google Search
  • Formats JSON · CSV · Parquet
Dataset preview · google serp resultsReady
Observation 01

An illustrative view of how query, serp snapshot, result…

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Field 01
An illustrative view of how query, serp snapshot, result…
{
  "query": "illustrative running shoes",
  "context": {
    "country": "GB",
    "language": "en",
    "device": "desktop"
  },
  "result_type": "organic",
  "position": 3,
  "title": "Example result",
  "url": "https://example.test/result",
  "captured_at": "2026-08-07T06:30:…
An illustrative view of how query, serp snapshot, result and collection context arrive together.

Schema and fields

Build on Google Search records with context attached.

Start with query, serp snapshot, result. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.

query string

Requested search term

context object

Location, language, device, and endpoint

result_type string

Organic, paid, local, shopping, or other documented module

position number

Position inside the captured context

title string

Displayed result title

url url

Observed destination URL

snippet string

Displayed result text

captured_at timestamp

Collection time

Freshness and delivery

Keep Google Search data aligned with your analysis cycle.

Select query sets and repeat intervals around the decisions that use the SERP snapshot; rank remains tied to the exact request context.

Snapshot Start from a dated baseline Selected scope and collection window

Refresh Receive recurring updates Cadence and change behavior

Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest

Validation Run repeatable checks Counts, fields, missing states, and version

Google Search applications

Put Google Search records to work.

Use source-linked, time-stamped records for rank and feature monitoring, plus competitor search research. Each application starts from the same documented fields and collection context.

01

Rank and feature monitoring

Compare organic results and documented SERP modules across controlled query contexts.

02

Competitor search research

Study domains, destinations, result types, and displayed copy across a defined keyword portfolio.

03

Local and market visibility

Compare results by requested location, language, device, and capture time.

From sample to production

Test Google SERP Results records in your data stack.

Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

Google Search dataset FAQ

Plan the right Google SERP Results collection.

What does the Google SERP Results Dataset include?

Monitor Google result snapshots with query, location, language, device, result type, rank, destination, and collection time connected. Core records include query, serp snapshot, result, feature block, rank observation.

What can I build with Google Search data?

Common applications include rank and feature monitoring, competitor search research, local and market visibility. Start with the fields and time window required by the business output.

How can the Google Search dataset stay current?

Select query sets and repeat intervals around the decisions that use the SERP snapshot; rank remains tied to the exact request context.

When should I use the Google Search API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect Google Search data to the wider use case.

Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.

Start with real records

Request a Google Search dataset sample.

Tell us which query and serp snapshot data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.

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