# scrapinghub/dateparser

python parser for human readable dates

Repository: https://github.com/scrapinghub/dateparser
Canonical: https://ross.abutalabs.com/products/dateparser
Homepage: https://dateparser.readthedocs.org/en/latest/
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: hacktoberfest
Last push: 2026-08-24T14:59:12+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 84, longevity 100
- inputs: {"age_days": 4300, "days_push": 9, "days_rel": 29, "gap_med": 80, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2853, forks 511 (observed 2026-08-28T04:07:25.698254+00:00)

## What it is
A Python library that parses human-readable dates in almost any format, including relative expressions like 'two weeks ago', timestamps, and dates in over 200 language locales. It supports language autodetection, non-Gregorian calendars, timezone offsets, and searching for dates within longer text.

## Use cases
- parse dates like 'two weeks ago' or 'tomorrow' in python
- extract dates from web pages in multiple languages
- convert human readable date strings to datetime objects
- detect dates in long text passages
- parse dates with timezone abbreviations like EST
- handle non-Gregorian calendar dates

## When to choose
- you need to parse messy, multilingual, or relative date strings from scraped content
- you don't know the date format or language in advance
- you need to find dates embedded in longer text

## When to avoid
- you only need to parse a single known fixed date format (use datetime.strptime)
- you need high-performance bulk parsing with minimal dependencies
- you need to format dates for output rather than parse them

## Facets
- artifact type: library
- maturity: stable
- function: parser, nlp, date-time
- domain: developer-tools, crawlers
- platform: python, cross-platform
- tags: date-parsing, human-readable-dates, multilingual, timezone-parsing, web-scraping, natural-language-processing

## Member repositories
- scrapinghub/dateparser (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:25.698254+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:48:31.164785+00:00, confidence not recorded.
  - readme: https://github.com/scrapinghub/dateparser (fetched 2026-08-28T04:07:25.698254+00:00, sha b9e7c501ed05)
  - registry_pypi: https://pypi.org/pypi/dateparser/json (fetched 2026-08-29T09:53:00.525443+00:00, sha b13df2a1e5fb)
- Data as of 2026-08-30T08:39:29.467469+00:00.