Introducing DataSEO data stack Learn more

Marketing databases for your own stack

Bring search, keyword, business, domain, app and backlink datasets into your own analysis environment. Choose the dataset, historical range, markets and refresh cadence for your research.

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Bulk datasets for analysis and reporting

Select search and keyword databases, business listings, app and merchant data, domain records or backlink statistics for the entities and markets you need.

Choose the dataset your research needs

Review the schema, stable identifiers and metric definitions before joining records. Retain source and collection timestamps in your own tables.

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Keep historical comparisons consistent

Choose a delivery format and refresh cadence that fit your analysis environment. Scope fields, markets and historical depth before building the receiving pipeline.

Read about Snapshot

Bring search, keyword, business,

Check field completeness, duplicate handling and entity matching before expanding a research workload. Missing values should remain distinct from zero.

for your research.

Search, SEO, and market data together

Review the schema, stable identifiers and metric definitions before joining records. Retain source and collection timestamps in your own tables.

Connect data to your analysis environment

Databricks

Join source records

Snowflake

Store scoped datasets

AWS

Process scoped datasets

Google Cloud

Run workflows at scale

Langfuse

Review collection logs

Together AI

Analyze response samples

See all integrations ( 55 )

Common questions

Collect organic results, ads and search features across supported search engines, markets and devices. Use structured JSON, HTML and source-specific collection options for rank tracking and competitive research.

Set the keyword, search engine, location, language and device. Preserve those settings with each observation so ranking comparisons describe the same audience and market.

Research organic search, maps, news, images, shopping and other supported result types. Use item types to interpret the fields returned by each endpoint.

rank_group describes a position within a result type, while rank_absolute describes placement across the results page. Keep both when ads or rich features affect visibility.

Use live collection for immediate checks or task-based collection for scheduled workloads. Select the response format and result depth that fit your integration.

Track a consistent keyword set across locations and devices. Compare current observations with dated records to investigate search visibility and competing pages.

Retain task status, collection time and source settings alongside result URLs. Route individual collection failures separately from changes in a domain’s rankings.

The website uses illustrative sample records. Production API calls use your account and the selected endpoint; example figures are not customer results.

Choose the relevant market, language, target set, required fields and collection cadence. Keep those settings with every response for repeatable analysis.

Source-specific data

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