---
id: lexisnexisapi
version: "3.0.3.13"
license: MIT
license_treatment: permissive
maintenance: dormant
---

# lexisnexisapi — a module to support lexisnexis api(s)

License: permissive · Maintenance: dormant · Downloads: 90.4K/mo

## What it is and what it does

lexisnexisapi wraps the LexisNexis Metabase API in Python, letting you search for and retrieve articles programmatically. It provides a Search class that handles API calls, a Streamline class to respect rate limits, and an Article class to represent individual results. The package converts API responses into Python objects and Pandas DataFrames, making it easier to filter, analyze, and export article data.

The module depends on requests for HTTP calls, pandas for DataFrame operations, and xmltodict for XML parsing. It is authored by LexisNexis CS Integration Consultants and has been dormant since its last release, meaning no active maintenance or updates are expected.

Use it for:

- Search the LexisNexis Metabase for articles matching specific queries and export results to JSON or CSV.
- Retrieve full datasets of articles by managing API rate limits automatically with the Streamline class.
- Convert article search results into Pandas DataFrames for analysis, filtering, and data science workflows.
- Build batch document retrieval workflows that respect per-minute API call limits without manual waiting.
- Access article metadata (title, author, publication date) as Python object attributes for programmatic use.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides a Python interface to the LexisNexis Metabase API for searching and retrieving articles, with support for rate-limit tracking and DataFrame conversion.

Yes, if you have an active LexisNexis Metabase API account and need to automate article searches from Python. The package has low install friction and permissive licensing. However, dormancy since the last release means no active maintenance—verify that the underlying Metabase API remains compatible and that you can obtain a valid API key before committing to it.

## Install

pip install lexisnexisapi
uv add lexisnexisapi
poetry add lexisnexisapi

## Installing lexisnexisapi

Before you install: Low install friction with three common runtime dependencies (pandas, requests, xmltodict). Package is dormant—last release was 911 days ago—so expect no active maintenance or bug fixes.

License in practice: MIT license is permissive, allowing commercial and private use with minimal restrictions.

Quickstart:

pip install lexisnexisapi

from lexisnexisapi import metabase
metabase.set_mb_search_key("your_key")
search = metabase.Search(query="example", limit=100)
df = search.articles_dataframe("title", "author")

Requires a valid LexisNexis Metabase API key to authenticate requests.

Verify before relying:

- Whether Python version support is documented elsewhere, as requires_python is unspecified in the package metadata.
- Current state of the LexisNexis Metabase API and whether it remains active and compatible with this client.
- Whether the package is maintained by LexisNexis or community-maintained after entering dormancy.

## Package facts

- License: MIT (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: dormant
- Downloads: 90.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

lexisnexis metabase api client, search articles from metabase, lexisnexis api wrapper, metabase article retrieval, rate-limited api calls, metabase search interface, lexisnexis document search, api-client, lexisnexis, document-search

[View on SkillFed](https://skillfed.io/packages/lexisnexisapi) · [View on PyPI](https://pypi.org/project/lexisnexisapi/)