fossick

web search, fetch, crawl, and browser automation for Python and AI agents

search finds sources. read turns a supported source into markdown with one result shape. fetch and to_md handle web pages, from plain HTTP through browser-backed requests. cdp_connect drives Chrome for authenticated or multi-step work. Dedicated readers handle YouTube, arXiv, GitHub, and PDFs.

Install

uv add fossick

Text/image/news search need no Docker. JS rendering, stealth fetch, and google() use a bundled headless browser.

Quick start

results = search('koshas github fts semantic code graph', method='flashrank', n=5)
for r in results: print(r['score'], r['engines'], r['title'], r['href'])
0.030536 ['brave', 'yahoo'] github.com › codegraph-ai › CodeGraphGitHub - codegraph-ai/CodeGraph: CodeGraph builds a semantic... https://github.com/codegraph-ai/CodeGraph
0.016129 ['yahoo'] vedicreader.github.io › kosha › graphgraph – koshas - vedicreader.github.io https://vedicreader.github.io/kosha/graph.html
0.015873 ['brave'] fts · GitHub Topics · GitHub https://github.com/topics/fts?o=desc&s=updated
0.016393 ['yahoo'] pypi.org › project › koshaskoshas · PyPI https://pypi.org/project/koshas/
0.015625 ['brave'] GitHub - colbymchenry/codegraph: Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local https://github.com/colbymchenry/codegraph
res = research('sqlite WAL mode vs journal mode', n=5)
print(res['digest'][:500])
print([s['href'] for s in res['sources']])
## Write-Ahead Logging
https://www.sqlite.org/wal.html

Write-Ahead Logging

Table Of Contents

# 1\. Overview

The default method by which SQLite implements atomic commit and rollback is a rollback journal. Beginning with version 3.7.0 (2010-07-21), a new "Write-Ahead Log" option (hereafter referred to as "WAL") is available.

There are advantages and disadvantages to using WAL instead of a rollback journal. Advantages include:

1. WAL is significantly faster in most scenarios. 
  2. WAL provid
['https://www.sqlite.org/wal.html', 'https://blog.sqlite.ai/journal-modes-in-sqlite', 'https://mohit-bhalla.medium.com/understanding-wal-mode-in-sqlite-boosting-performance-in-sql-crud-operations-for-ios-5a8bd8be93d2', 'https://til.simonwillison.net/sqlite/enabling-wal-mode', 'https://fly.io/blog/wal-mode-in-litefs/']
page = read('https://en.wikipedia.org/wiki/Web_scraping')
print(page.text[:400])
The legality of web scraping varies across the world. In general, web scraping may be against the terms of service of some websites, but the enforceability of these terms is unclear.[11]

In the United States, website owners can use three major legal claims to prevent undesired web scraping: (1) copyright infringement (compilation), (2) violation of the Computer Fraud and Abuse Act ("CFAA"), and (

One door

what_is classifies a target as dir, file, arxiv, youtube, github, ghfile, pdf, or web. read selects that reader and returns ok, kind, title, source, text, skipped, and meta.

target = str(repo_root()/'README.md')
assert what_is(target) == 'file'
result = read(target)
assert sorted(result) == ['kind', 'meta', 'ok', 'skipped', 'source', 'text', 'title']
assert (result.ok, result.kind, result.title) == (True, 'file', 'fossick')
assert '# fossick' in result.text and result.skipped is None
result.kind, result.title, result.ok

Directories and GitHub repositories are trees. Their result has a local path in meta and no text. Other successful readers return markdown in text. For PDFs, pages=True returns (page_number, text) pairs for page-level citations.

A recognized target can still fail to yield content. Bot walls, missing YouTube transcripts, and invalid PDF responses set ok=False and put the reason in skipped. Unsupported targets raise ValueError during classification.

Modules

notebook for
00_core fetch, to_md, crawl, readers (yt/arxiv/gh), hidden APIs
01_cdp Chrome over DevTools: snapshot, fill_form, act
02_search metasearch, RRF/BM25/flashrank, google, research
03_cli fossick CLI
04_mcp MCP server for agents
05_shop cart/checkout automation on a live page
06_quality plan, curate, authority, diversity

One-liners

search('query', n=10, region='auto', timelimit='y')
research('query', n=5)                    # search, read, and build a cited digest
fetch(url, auto=True)                     # escalate past bot walls
crawl(url, max_pages=5, same_domain=True)
google('query', n=10)                     # real Google via stealth browser
cdp_connect(); pg = await cdp.new_page(url); print(await pg.snapshot())

CLI: fossick search "q", fossick fetch URL --auto, fossick research "q". MCP: uvx fossick-mcp (or fossick-mcp --http).

Debug Chrome

Use a persistent Chrome profile for logged-in fetches (session=True) and CDP:

fossick cdp-install   # launch agent and keep-alive

Cookies survive restarts. Log in once by hand.