Pull structured Google search results and related SERP data directly into Databar workflows. Serpdog delivers parsed, real-time search results while handling CAPTCHA and proxy routing so you can scale monitoring, research, and analytics without manual scraping.
Key benefits
- Reliable SERP data - captures titles, snippets, URLs, and visible search features like featured snippets, knowledge panels, local packs, and rich results.
- Built-in CAPTCHA and proxy handling - reduces blocking and maintains data continuity for large-scale requests.
- Real-time access - monitor ranking changes and time-sensitive search results as they happen.
- Easy Databar enrichment - attach search metrics to leads, accounts, or content records to improve targeting and reporting.
- Scalable exports - bulk extract results for dashboards, trend analysis, and ML pipelines.
How teams use Serpdog
- SEO and content teams track keyword rankings, spot content gaps, and detect new SERP features that affect visibility.
- Competitive intelligence monitors competitor pages and organic shifts that could impact traffic.
- Data teams pull large volumes of SERP data for trend analysis, market research, and performance dashboards.
- Revenue and ops teams enrich CRM records with search visibility and intent signals to prioritize outreach.
Examples
- Pull the top 10 results and metadata for a set of keywords to build keyword reports and identify content opportunities.
- Continuously monitor SERP changes for high-value queries to detect ranking shifts or new competitors.
- Combine SERP data with CRM records in Databar to prioritize outreach based on search visibility and intent.
Use Serpdog when you need structured, scalable Google search data inside Databar for research, monitoring, and operationalizing SEO insights.