To construct a sophisticated automated pipeline designed for seamless extraction of Arbitrum Governance Proposals, Votes, and the comprehensive list of delegates directly from Tally, this endeavor entails a series of meticulously orchestrated steps. Initially, the process demands the establishment of a reliable synchronization with Tally's API or relevant data endpoints, aimed at harvesting the freshest insights on governance proposals, vote tallies, and delegate rosters within the Arbitrum network. Following data acquisition, a crucial phase of data refinement and transformation is embarked upon. This phase is pivotal for purifying, structuring, and standardizing the initially raw datasets to a state of high utility and interpretability.

• Rscript scrapeProposalsVotes.R

It uses helperfuncs.R under the hood which have the functions required to talk with GraphQL endpoint and fetch the required data.

• Rscript scrapeDelegates.R

It uses helperfuncs.R under the hood which have the functions required to talk with GraphQL endpoint and fetch the required data.