Nimble
Nimble streamlines your workflow with powerful yet simple project management tools, boosting team productivity and delivering exceptional results.
English
English
Nimble is a modern data platform that provides data for AI and BI applications, providing accurate, real-time web data through its enterprise-grade data pipeline. It has unparalleled data quality and accuracy, is fully managed by AI browser technology, has comprehensive governance and trust, and is the trusted choice of leading data teams.
Demand group:
" Nimble 's target audience is data teams and enterprises who need to collect and analyze data from the web to support AI and BI applications. Whether they are retail and consumer goods companies, financial institutions, brand and marketing teams, or data aggregators and AI developers , Nimble can provide them with the high-quality data they need."
Example of usage scenario:
Retail and consumer products companies use Nimble to monitor competitor pricing and market trends.
Financial institutions use Nimble to track market changes and assess risk profiles.
Brand and marketing teams use Nimble to understand market sentiment and track brand performance.
Data aggregators and AI developers use Nimble to provide rich structured web data to improve the accuracy of AI model training.
Product features:
Crawl any public website using built-in AI unblocking and modern proxies.
Use parsing skills to structure data without effort and ensure high accuracy.
Dynamically execute JavaScript and actively crawl unlimited sources.
AI browser technology ensures perfect accuracy, using HTML-trained LLM model.
Nimble automatically repairs the agent to ensure trouble-free data parsing.
Multi-layer data validation, trust your data quality.
Usage tutorial:
1. Register a Nimble account and enjoy 22GB free data capture quota.
2. Select the desired API service, such as Web API, SERP API, E-commerce API or Maps API.
3. Configure API parameters according to requirements and set crawling tasks.
4. Use Nimble AI Browser for advanced data analysis and verification.
5. Monitor the data collection process through the Nimble platform’s analysis and management tools.
6. Download or integrate the collected data for further AI and BI applications.
