Web scraping services
Zenovah overview
How we deliver custom extraction and formats.
View web scraping →Web scraping tools here means libraries and drivers you run yourself — parsers, crawlers, HTTP clients, and browser automation — not hosted SaaS. Alphabetical list below. For proxies and commercial APIs, see web scraping companies.
Parsers (Soup, Cheerio, lxml) work on HTML you already fetched; frameworks (Scrapy, Colly) coordinate many URLs; Playwright/Puppeteer/Selenium run when you need a real browser. Mix HTTPX + parser for cheap paths, and browsers only where JavaScript or interaction demands it. Production often still needs proxies and rate discipline — see vendors — or a managed build on web scraping services.
Alphabetical; check each project for license and docs.
Python library for parsing HTML/XML and navigating the parse tree.
Fast, jQuery-like server-side HTML parsing for Node.js.
Elegant scraping framework for Go — crawling, callbacks, rate limits.
Modern Python HTTP client — sync/async, HTTP/2, useful alongside parsers.
Fast XML/HTML processing for Python (often paired with Scrapy or Beautiful Soup).
Cross-browser automation (Chromium, Firefox, WebKit) with solid scraping workflows.
Node.js API to control Chrome/Chromium — rendering and interaction.
Python framework for crawling, pipelines, and structured extraction at scale.
Browser automation across languages; common for dynamic sites and testing.
Soup for small scripts; Scrapy for crawling at scale with pipelines.
Both automate browsers; choose based on language support and what your team already runs in CI.
When a plain HTTP GET returns the fields you need without client-side rendering — use HTTPX plus a parser and save headless runs for the rest.
Discovery, production pipelines, Excel and API delivery — without you maintaining the toolchain alone.
Web scraping services Contact usZenovah overview
How we deliver custom extraction and formats.
View web scraping →