Optimizing Market Research Agent for Accurate Data Scraping and Exporting

I created a market research agent for my company which does basic research from the company page ( website, case studies). to create an ICP. After this is completed I assign it to research based on vertical or website paste, to find company lookalikes. There is no integration with anything at this point but web research. The agent once it has analysed the companys, is to scrape certain companys based on potential information such as if the company has a tech stack or might need hires and then verify them to give a confidence score of sorts to determine reliability. after the agent is completed this task. it is to prepare a list or chart based on criteria, and then allow it to export to CSV to be imported into another system (clay). My questions are as follows based on the tasks explained above 1. when the agent is sent out to scrape a website (general scrape to free websites or a google search) does it actually scrape them or is this information not as valid as at first glance. 2. When exporting to CSV, the agent claims to have provided 50 results based on the criteria requested, but consistently only returns 15-20 companies at most. when instructed to continue the task it was given a few prompts conversation points earlier, it continues to create individual csvs with completely duplicate resutls. Any help in solving the 2 points would be greatly appreciated. I need to present this for a client looking at dust as a solution for this task as a POC for their use case. Thanks!