# goodreasonai/ScrapeServ

A self-hosted API that takes a URL and returns a file with browser screenshots.

Repository: https://github.com/goodreasonai/ScrapeServ
Canonical: https://ross.abutalabs.com/products/scrapeserv
Language: Python
License: MIT
License Family: permissive
Last push: 2025-03-09T21:27:53+00:00

## Health v2 (maintenance only)
Score: 25/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 10, release rhythm 35, longevity 41
- inputs: {"age_days": 574, "days_push": 542, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1181, forks 82 (observed 2026-08-28T04:03:54.142827+00:00)

## What it is
ScrapeServ is a self-hosted API service that accepts a URL and returns the website's data along with browser screenshots, using Playwright with Firefox to render pages including JavaScript. It runs in a Docker container with a job queue and configurable memory allocation.

## Use cases
- take screenshots of websites via an api
- scrape a url and get page screenshots
- self-hosted screenshot server
- render javascript-heavy pages and capture images
- get website content and screenshots for ai pipelines
- capture full-page screenshots of scrolling sections

## When to avoid
- you need lightweight, low-resource scraping without a browser
- you need distributed scraping at massive scale
- you don't want to run docker or self-host infrastructure

## Facets
- artifact type: service
- maturity: active
- function: web-scraping, http-server, api-framework, image-processing
- domain: web-development, crawlers, developer-tools, self-hosted, artificial-intelligence
- platform: self-hosted, python
- tags: screenshots, playwright, browser-automation, url-to-image, scraping-api, docker, web-server

## Member repositories
- goodreasonai/ScrapeServ (main) score 25

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:54.142827+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 2026-08-30T06:25:10.923676+00:00, confidence not recorded.
  - readme: https://github.com/goodreasonai/ScrapeServ (fetched 2026-08-28T04:03:54.142827+00:00, sha 2f9ddf8070ea)
- Data as of 2026-08-30T08:39:29.467469+00:00.