As it parses, Python Scrapy is experiencing a decrease in speed.

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This could be due to several reasons such as:

1. Too many requests: Scrapy may be making too many requests at a time which can slow down the parser. It's important to limit the number of requests and optimize their order.

2. Large Responses: Large responses containing too much data can slow down the parser. It's best to limit the amount of data obtained in each response and only parse the required information.

3. Overloaded CPU or RAM: If the CPU or RAM is overloaded, Scrapy can experience a decrease in speed. It's important to optimize system resources and reduce the load on the CPU and RAM.

4. Slow Internet Connection: Slow internet can slow down the parser. It's best to ensure a stable and fast internet connection.

5. Complex Parsing Logic: If the parsing logic is complex, it can take time to parse the data. It's important to optimize the parsing logic and reduce the time taken to parse the data.