​
Introduction

Welcome to the ScrapeTable API documentation! This documentation is designed to help you understand and utilize the powerful capabilities of the ScrapeTable API. Whether you’re a seasoned developer or just getting started, you’ll find all the information you need to integrate ScrapeTable into your applications.

​
What is ScrapeTable?

ScrapeTable is a versatile API that allows you to extract and manipulate data from web tables effortlessly. With ScrapeTable, you can automate data extraction from various websites, transforming complex tables into structured data that you can use for analysis, reporting, and more. Our API simplifies the process of web scraping, making it accessible and efficient.

​
Key Features

  • Easy Integration: Our API is designed for easy integration with your existing systems. Whether you’re using Python, JavaScript, or another programming language, you can quickly start using ScrapeTable.
  • Robust Data Extraction: ScrapeTable handles the intricacies of web scraping, providing you with clean and structured data. No more dealing with messy HTML or parsing issues.
  • Scalability: Designed to handle large-scale data extraction tasks, ScrapeTable ensures performance and reliability, even with high-volume requests.
  • Customizable: Tailor the API to fit your specific needs with customizable parameters and options. Extract only the data you need in the format you want.
  • Support for Various Formats: Export your scraped data in multiple formats such as JSON, CSV, and Excel, making it easy to integrate into your workflow.

​
Getting Started

To get started with ScrapeTable, follow these simple steps:
  1. Sign Up: Create an account on our ScrapeTable platform.
  2. API Key: Once registered, you’ll receive an API key. Keep this key secure, as it will be used to authenticate your requests.
  3. Read the Documentation: Familiarize yourself with the API endpoints and their functionalities through this documentation.
  4. Make Your First Request: Use your preferred programming language to make your first API request and start extracting data.

​
Use Cases

ScrapeTable can be used in a variety of scenarios, including but not limited to:
  • Market Research: Gather data from competitor websites to analyze market trends.
  • Data Aggregation: Combine data from multiple sources into a single, unified dataset.
  • Financial Analysis: Extract financial tables and reports for in-depth analysis.
  • Academic Research: Collect data for research projects and studies.

​
Community and Support

We believe in building a strong community of developers and users. If you have any questions or need assistance, you can:
  • Join our Community Forum: Engage with other ScrapeTable users, share your projects, and get help from our community.
  • Contact Support: Reach out to our support team via email or through the support portal on our website.
  • Follow our Blog: Stay updated with the latest news, tips, and tutorials on the ScrapeTable blog.

​
Conclusion

Thank you for choosing ScrapeTable! We’re excited to see what you’ll build with our API. Dive into the documentation, explore the features, and start scraping data like a pro. Happy coding!