wxpath

Details

External ID

46618472

Source

HN

Company

—

Product

wxpath

Website domain

github.com

Launched

Jan. 14, 2026

Cohort

—

Upvotes

64

Upvotes percentile

0.8405797101449275

Tags

—

Fetched at

Sept. 7, 2026, 9:25 p.m.

Updated at

Sept. 7, 2026, 9:25 p.m.

Description

wxpath is a declarative web crawler where web crawling and scraping are expressed directly in XPath.Instead of writing imperative crawl loops, you describe what to follow and what to extract in a single expression: import wxpath # Crawl, extract fields, build a Wikipedia knowledge graph path_expr = """ url('https://en.wikipedia.org/wiki/Expression_language') ///url(//main//a/@href[starts-with(., '/wiki/') and not(contains(., ':'))]) /map{ 'title': (//span[contains(@class, "mw-page-title-main")]/text())[1] ! string(.), 'url': string(base-uri(.)), 'short_description': //div[contains(@class, 'shortdescription')]/text() ! string(.), 'forward_links': //div[@id="mw-content-text"]//a/@href ! string(.) } """ for item in wxpath.wxpath_async_blocking_iter(path_expr, max_depth=1): print(item) The key addition is a `url(...)` operator that fetches and returns HTML for further XPath processing, and `///url(...)` for deep (or paginated) traversal. Everything else is standard XPath 3.1 (maps/arrays/functions).Features:- Async/concurrent crawling with streaming results- Scrapy-inspired auto-throttle and polite crawling- Hook system for custom processing- CLI for quick experimentsAnother example, paginating through HN comments (via "follow=" argument) pages and extracting data: url('https://news.ycombinator.com', follow=//a[text()='comments']/@href | //a[@class='morelink']/@href) //tr[@class='athing'] /map { 'text': .//div[@class='comment']//text(), 'user': .//a[@class='hnuser']/@href, 'parent_post': .//span[@class='onstory']/a/@href } Limitations: HTTP-only (no JS rendering yet), no crawl persistence. Both are on the roadmap if there's interest.GitHub: https://github.com/rodricios/wxpathPyPI: pip install wxpathI'd love feedback on the expression syntax and any use cases this might unlock.Thanks!

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