lexisnexisapi
a module to support lexisnexis api(s)
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid LexisNexis Metabase API key to authenticate requests.
- 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 · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions.
last release 2024-02-15 (911 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 90,359 downloads/mo, #13,594 on PyPI
Alternatives
Verify before relying
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")- 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.
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 on this page. Verify before relying on it.
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
lexisnexisapi on PyPI
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.
Requires a valid LexisNexis Metabase API key to authenticate requests.
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")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 | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagespandasrequestsxmltodict |
| Maintenance | Dormant 911 days since the last release |
| First released | |
| Downloads | 90,359 / month, #13,594 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: lexisnexisapi-3.0.3.13-py3-none-any.whl
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