Query Table FAQs

Question 1

What is Query Table?

Accepted Answer

Query Table is a Python-based web scraping tool that uses Playwright to extract tabular data from financial websites like Eastmoney, Iwencai, and TDX. It supports Model Context Protocol (MCP) and allows switching between different data sources for redundancy.

Question 2

How do I install Query Table?

Accepted Answer

You can install Query Table using pip: `pip install -i https://pypi.org/simple --upgrade query_table` or `pip install -i https://pypi.tuna.tsinghua.edu.cn/simple --upgrade query_table`.

Question 3

Which websites does Query Table support?

Accepted Answer

Currently, Query Table supports scraping data from Eastmoney (东方财富), Iwencai (同花顺i问财), and TDX (通达信问小达). Real-time switching between these sites is possible if one fails.

Question 4

What is Model Context Protocol (MCP) support?

Accepted Answer

Query Table supports MCP, allowing integration with other tools and services using a standardized communication protocol. This enables easier debugging and integration into larger data pipelines. You can test if MCP support is working by running `python -m query_table -h`.

Question 5

What are the key features of Query Table?

Accepted Answer

Key features include scraping tables from multiple financial websites, browser automation using Playwright, support for Model Context Protocol (MCP), website switching for fault tolerance, and data extraction via JSON response interception.

Query Table

Query Table

主要功能

使用案例

主要功能

使用案例