Marketing data, built for your team

Scoped datasets
Versioned web snapshots
RL rollouts
Live-web evals

AI visibility

Live answers
News and events
Cited sources
Company and people data

Keyword research

Supported SERP collection
Today's web
Server-side search
Open models

Technical SEO

Documentation
GitHub repositories
Package registries
Security advisories

Local SEO

Companies
People
Funding and hiring
News and buying signals

Merchant research

Domain records
Earnings calls
Company websites
Financial news

A connected catalog for marketing research

Confirm field definitions, null behavior and source identifiers before connecting a downstream report. Treat source-specific scores and derived metrics explicitly.

Structured fields for your workflow

Separate API collection from bulk dataset delivery. Historical coverage, file format, refresh cadence and licensing require an agreed source and scope.

Highlights: Off

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.

Example page metadata

Specify authentication, tenant access, credential handling and deployment requirements. Keep production credentials on the server and out of the marketing frontend.

Collection modes for different workloads

Bring retention, procurement and contractual requirements to the discussion. This preview does not assert certifications, zero retention, enterprise SLAs or a dedicated support arrangement.

See the evals →

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              DataSEO Instant
             

              Example collection
             

              Example collection
             

              Example collection
             

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Define your production requirements

Integration requirements

A workload estimate should include routes, result depth, processing options and request frequency. Internal provider costs are not published customer prices.

Custom data

Plan error handling and data freshness in the receiving system. A failed task should appear as unavailable collection rather than a sudden loss of all measured business signals.

Capacity and control

Use a pilot to validate coverage and usefulness for the selected sources. Agreement on a pilot sample does not imply complete global or historical coverage.

Predictable pricing

Identify which data can be stored, joined and redistributed under the agreed source terms. Confirm the delivery and permitted use before moving from preview to production.

Enterprise support

Define the decisions your team needs to support and the records required for each decision. Specify markets, languages, entities and reporting cadence before sizing collection.

Discuss service requirements

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

Discuss your data and access requirements

Confirm field definitions, null behavior and source identifiers before connecting a downstream report. Treat source-specific scores and derived metrics explicitly.

Visit the Trust Center

Data requirements

Separate API collection from bulk dataset delivery. Historical coverage, file format, refresh cadence and licensing require an agreed source and scope.

Privacy requirements

Specify authentication, tenant access, credential handling and deployment requirements. Keep production credentials on the server and out of the marketing frontend.

Access requirements

Bring retention, procurement and contractual requirements to the discussion. This preview does not assert certifications, zero retention, enterprise SLAs or a dedicated support arrangement.

Data handling

A workload estimate should include routes, result depth, processing options and request frequency. Internal provider costs are not published customer prices.

Retention planning

Plan error handling and data freshness in the receiving system. A failed task should appear as unavailable collection rather than a sudden loss of all measured business signals.

Enterprise agreements

Use a pilot to validate coverage and usefulness for the selected sources. Agreement on a pilot sample does not imply complete global or historical coverage.

Explore an illustrative implementation

Identify which data can be stored, joined and redistributed under the agreed source terms. Confirm the delivery and permitted use before moving from preview to production.

Define the decisions your team needs to support and the records required for each decision. Specify markets, languages, entities and reporting cadence before sizing collection.

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

Confirm field definitions, null behavior and source identifiers before connecting a downstream report. Treat source-specific scores and derived metrics explicitly.

Separate API collection from bulk dataset delivery. Historical coverage, file format, refresh cadence and licensing require an agreed source and scope.

Specify authentication, tenant access, credential handling and deployment requirements. Keep production credentials on the server and out of the marketing frontend.