# scrapy/scrapely

A pure-python HTML screen-scraping library

Repository: https://github.com/scrapy/scrapely
Canonical: https://ross.abutalabs.com/products/scrapely
Language: HTML
License Family: other
Last push: 2022-04-04T10:53:21+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5616, "days_push": 1612, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1883, forks 272 (observed 2026-08-28T04:05:48.789310+00:00)

## What it is
Scrapely is a pure-Python library for extracting structured data from HTML pages. It learns a parser from example pages annotated with the data to extract, then applies that parser to scrape similar pages without xpaths or regexes.

## Use cases
- extract structured data from html pages
- train a scraper from example pages and expected fields
- scrape similar pages without writing xpaths or regexes
- build template-based web scrapers
- power annotation-driven scraping tools like portia

## When to avoid
- you need a full crawling framework like scrapy
- the project is unmaintained and you need modern python support or fixes
- you need javascript-rendered page extraction

## Facets
- artifact type: library
- maturity: maintenance
- function: web-scraping, parser, nlp
- domain: crawlers, web-development
- platform: python, cross-platform, cli
- tags: html-extraction, template-based-scraping, annotation-based-training, no-xpath, data-engineering

## Member repositories
- scrapy/scrapely (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:48.789310+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 2026-08-30T03:13:42.303857+00:00, confidence not recorded.
  - readme: https://github.com/scrapy/scrapely (fetched 2026-08-28T04:05:48.789310+00:00, sha 3f88b1df029d)
- Data as of 2026-08-30T08:39:29.467469+00:00.