For Developers
Build With Search Intelligence
REST APIs with OAuth 2.0, native BigQuery integration, webhooks, and comprehensive documentation. Build custom integrations, data pipelines, and applications with DemandSphere data.
No Artificial Limits
No credits. No quotas. No rate limit surprises. Just clean APIs and BigQuery access to all your search intelligence data.
Developer experience at most SEO platforms is an afterthought. APIs are undocumented, rate-limited to the point of uselessness, and return data in proprietary formats that require transformation before they're useful. Webhooks are unreliable or nonexistent. And "BigQuery integration" often means a CSV export you can manually upload.
DemandSphere treats developer access as a core product capability, not an upsell. REST APIs return clean JSON with consistent schemas documented via OpenAPI spec. Authentication uses standard OAuth 2.0. BigQuery integration means your data is already there - in a managed dataset with documented schemas, updated daily, queryable with standard SQL. Webhooks deliver real-time event notifications for ranking changes, competitor movements, and AI visibility shifts.
Whether you're building an internal dashboard, integrating search data into a product, feeding a machine learning pipeline, or automating client reporting, DemandSphere gives you the building blocks without artificial constraints.
Everything You Need to Build
REST APIs
Full programmatic access to rankings, LLM visibility, citations, competitor data, SERP features, and more. JSON responses with consistent field naming. OpenAPI 3.0 spec available for code generation. No credit-based pricing - your API access is governed by your data scope, not call volume.
Webhooks
Receive real-time notifications when rankings change, competitors make moves, or AI visibility shifts. Configure threshold-based triggers with custom payloads delivered to any HTTP endpoint. Integrate with Slack, PagerDuty, or internal alerting systems. Webhook events include full context - no additional API calls needed.
BigQuery Integration
All DemandSphere data syncs to a managed BigQuery dataset automatically. Write SQL queries, build views, create scheduled queries, and join with any other data in your GCP project. No ETL to maintain. Schemas are documented and optimized for common query patterns like time-series analysis and competitor comparisons.
Custom Dashboards
Build custom visualizations using DemandSphere data via API or BigQuery. Connect Looker Studio, Grafana, Retool, or any frontend that speaks REST or SQL. Embed search intelligence into internal tools, client portals, or product interfaces. The data is available - the presentation layer is yours to design.
Common Developer Use Cases
REST APIs
Rankings, LLM visibility, citations, competitors, and exports. JSON responses with OpenAPI documentation.
Learn moreBigQuery Access
Write SQL against your search data. No proprietary query language. Join with your existing datasets.
Learn moreWebhooks
Real-time event notifications for ranking changes, competitor moves, and AI visibility shifts.
Learn moreData Pipelines
Automated exports to S3, Snowflake, and any destination. Parquet, JSON, CSV formats.
Learn moreDeveloper Questions
DemandSphere provides API access with your production data from day one. OpenAPI documentation includes example requests and responses for every endpoint, and our support team can help with integration questions. For teams that want to explore before committing, the demo process includes a walkthrough of API capabilities with your actual domain data.
The DemandSphere API uses OAuth 2.0 with bearer tokens. Token management, scoping, and refresh flows follow the OAuth 2.0 specification. No proprietary authentication schemes. If your team has built OAuth integrations before, the DemandSphere API will feel familiar immediately.
Yes. Several DemandSphere clients embed search intelligence data into their own products and customer portals. API access and BigQuery data can power custom dashboards, reporting tools, and application features. Contact our team to discuss data licensing and integration architecture for product use cases.
DemandSphere provides OpenAPI 3.0 specifications that can be used to generate client libraries in any language via tools like openapi-generator. The API follows REST conventions and returns JSON, so most teams find that a simple HTTP client (requests, fetch, axios) is sufficient. BigQuery access uses standard Google Cloud client libraries available in Python, Node.js, Java, Go, and other languages.
See the API in action.
30-minute technical demo. We'll walk through endpoints, schemas, and integration patterns.
See it with your own data.
30-minute demo. We'll run it on your domain - no prep required.