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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
Google searches across location, language, and device settings become timestamped SERP snapshots with rank, result type, and destination context

Schema and fields

Build on Google Search records with context attached.

querystring

Requested search term

contextobject

Location, language, device, and endpoint

result_typestring

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

positionnumber

Position inside the captured context

titlestring

Displayed result title

urlurl

Observed destination URL

snippetstring

Displayed result text

captured_attimestamp

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.

SnapshotStart from a dated baselineSelected scope and collection window
RefreshReceive recurring updatesCadence and change behavior
FormatUse JSON, CSV, or ParquetSchema, partitioning, and manifest
ValidationRun repeatable checksCounts, fields, missing states, and version

Google Search applications

Put Google Search records to work.

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.

  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.

What can I build with Google Search data?

  • Rank and feature monitoring

  • Competitor search research

  • Local and market visibility

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.

Start with real records

Request a Google Search dataset sample.

Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.

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