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Bigdata.com API High-Efficiency Tools at Scale

Project description

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Bigdata Research Tools

Python version support PyPI version

Bigdata.com API High-Efficiency Tools at Scale

This repository provides efficient toolset to use the Bigdata.com SDK.


Installation

Install the package from PyPI using pip:

pip install bigdata-research-tools

Usage

The following example demonstrates the convenient way to run multiple searches in a concurrent and rate-limited manner:

from bigdata_research_tools import run_search
from bigdata_client import Bigdata

bigdata = Bigdata()

results = run_search(bigdata=bigdata,
                     queries=YOUR_LIST_OF_QUERIES,
                     limit=1000)

Key Features

  • Rate Limiting: Enforces a configurable query-per-minute (RPM) limit using a token bucket algorithm.
  • Concurrency Support: Executes multiple search queries simultaneously with a user-defined maximum number of threads.
  • Thread-Safe: Ensures safe concurrent access to shared resources with built-in thread locks.
  • Flexible Configuration:
    • Set custom RPM limits and token bucket sizes.
    • Configure search parameters such as date ranges, sorting, and result limits.
  • Minimum Dependencies: Requires only the bigdata_client SDK.
  • Ease of Use: Includes a convenience function for running multiple searches with minimal setup.

RavenPack | Bigdata.com
All rights reserved © 2025

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