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yfscreen

0.1.2Package record

Yahoo Finance 'screener' API

0packages depend
5.4Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Simple and efficient access to Yahoo Finance's 'screener' API https://finance.yahoo.com/research-hub/screener/ for querying and retrieval of financial data. The core functionality abstracts the complexities of interacting with Yahoo Finance APIs, such as session management, crumb and cookie handling, query construction, pagination, and JSON payload generation. This abstraction allows users to focus on filtering and retrieving data rather than managing API details. Use cases include screening across a range of security types including equities, mutual funds, ETFs, indices, and futures. The package supports advanced query capabilities, including logical operators, nested filters, and customizable payloads. It automatically handles pagination to ensure efficient retrieval of large datasets by fetching results in batches of up to 250 entries per request. Filters can be dynamically defined to accommodate a wide range of screening needs. The implementation leverages standard HTTP libraries to handle API interactions efficiently and provides support for both R and Python to ensure accessibility for a broad audience.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 307 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
89%
Return-value docs
100%
Help pages citing references
0%

Downloads

5.4K
CRAN downloads in the past year
Rank #13,278 · ~15/day · ~448/mo
Daily download trend is not available in this view yet.
28130 days
87790 days
5.4K1 year
Compare downloads with other packages →
Also on69 r2u2 autocran

Repository

21Stars
1Forks
0Open issues
0Open PRs
0Releases
126Commits
1Commit identities
datapythonr
126 commits · Last activity 2026-09-05 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
5
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-10-10 · 102026-09-25 · 21
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/jasonjfoster/screen on 2026-10-25.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

The repository owner accepts GitHub Sponsors

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing yfscreen adds 2 packages (2 with compiled code, 1.7 MB of source tarballs). Heaviest: jsonlite 1.0 MB, curl 714 KB.

Depends (1)
R >= 3.5.0
Imports (2)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.1 (2025)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    record
    2025-05-18 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1
    record
    2025-04-09
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-04-09
Total releases
2 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
15 KB / 9 files
Download size
29 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("yfscreen")
Foster, J. (2025). yfscreen: Yahoo Finance 'screener' API (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.yfscreen

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for yfscreen version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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