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fastbrowser

Python bindings for fastbrowser — a cross-platform browser-automation kernel for AI agents, written in Rust. This package exposes the kernel through PyO3.

  • Engine-agnostic: mock (no deps) / chromium (CDP) / bundled (Chrome for Testing) / webview / cef, unified behind one BrowserEngine trait.
  • AI-native: 95 LLM-friendly tools (navigate, click, type, extract_text, wait_for_element, fill_form, screenshot, …), all JSON in/out.
  • Multi-tab concurrency: per-tab locks — different tabs run in parallel, same tab serialized (mirrors a real browser's per-process / single-main-thread model).

Install

pip install fastbrowser

Prebuilt wheels are published for CPython 3.8+ on macOS (arm64/x86_64), Linux (manylinux x86_64/aarch64) and Windows x64.

Quickstart (mock engine — no browser required)

import fastbrowser as fb

b = fb.FastBrowser()
b.init()                                    # default: mock engine, zero deps

out = b.open("https://example.com")
print(out["title"])                         # "Example Page"
print(b.snapshot()["title"])                # interactive-element snapshot for LLMs
print(b.tool_call("get_current_url"))       # {"url": "https://example.com"}

w, h, rgba = b.screenshot()                 # raw RGBA (w, h, w*h*4 bytes)
b.save_screenshot("page.png")               # PNG

b.shutdown()

Examples

1. Snapshot-driven interaction (the core agent loop)

snapshot() returns the interactive elements (a/b/c ids) the LLM acts on; click/type target those ids:

b = fb.FastBrowser(); b.init()
b.open("https://example.com")

snap = b.snapshot()
for el in snap["interactive"]:
    print(el["id"], el["tag"], el.get("text"), el.get("href"))

# click a link, type into a field, press Enter
b.tool_call("click", {"id": "c"})
b.tool_call("type", {"id": "e", "text": "hello"})
b.tool_call("press", {"key": "Enter"})

2. Content extraction

b = fb.FastBrowser(); b.init()
b.open("https://example.com")

print(b.tool_call("extract_links"))       # {"links": [{"text": "Learn more", "url": "..."}]}
print(b.tool_call("extract_text"))        # {"text": "..."}
print(b.tool_call("get_page_text"))       # {"text": "..."}
print(b.tool_call("extract_table"))       # {"table": [["Name", "Value"], ...]}
print(b.tool_call("get_page_title"))      # {"title": "Example Page"}

3. Form filling

b = fb.FastBrowser(); b.init()
b.open("https://example.com")

# fill by snapshot id
b.tool_call("fill_form", {"values": {"e": "alice"}})   # {"filled": ["e"], "ok": true}

# or field-by-field
b.tool_call("type", {"id": "e", "text": "bob", "clear": True})
b.tool_call("checkbox", {"id": "d", "checked": True})

# on a real engine: dropdown / radio / file upload
b.tool_call("select_option", {"id": "e", "value": "pro"})
b.tool_call("radio", {"id": "r"})

4. Multi-tab

Every tool accepts {"tab": N} — cross-tab operations don't depend on the active tab:

b = fb.FastBrowser(); b.init()

t1 = b.open("https://example.com")["tab"]
t2 = b.tool_call("new_tab", {"url": "https://example.com/login"})["tab"]

print(b.tool_call("list_tabs"))                         # {"tabs": [1, 2]}
print(b.tool_call("get_page_title", {"tab": t1}))       # {"title": "Example Page"}
print(b.tool_call("get_page_title", {"tab": t2}))       # {"title": "Login"}

b.tool_call("switch_tab", {"tab": t1})
b.tool_call("close_tab", {"tab": t2})

5. Waiting

b.tool_call("wait_for_element", {"selector": "button", "timeout_ms": 5000})
b.tool_call("wait_for_navigation", {"timeout_ms": 10000})

6. Execute JavaScript

print(b.tool_call("execute_js", {"script": "document.title"}))            # {"result": "Example Page"}
# on a real engine, any script runs against the real page:
print(b.tool_call("execute_js", {"script": "document.links.length"}))     # {"result": <count>}

7. Screenshots

w, h, rgba = b.screenshot()          # raw RGBA
png = b.screenshot_png()             # PNG bytes (stdlib-encoded, no Pillow)
b.save_screenshot("page.png")        # save PNG to disk
b.set_viewport(390, 844)             # mobile viewport

8. Event callbacks

import json

events = []
b.register_event_callback(lambda tab, ev: events.append((tab, json.loads(ev))))
b.open("https://example.com")
b.navigate("https://example.com/login")
print(events)                        # navigation / console / dom events

9. OSR frame streaming

import time, json

frames = []
b.register_frame_callback(lambda tab, f: frames.append((tab, json.loads(f))))
b.open("https://example.com")
b.start_frame_stream(1, fps=10)
time.sleep(0.5)
b.stop_frame_stream(1)
print(frames[0][1]["width"], frames[0][1]["height"])   # frame dims

10. Session state, cookies & storage

b = fb.FastBrowser(); b.init()
b.open("https://example.com")

b.tool_call("cookie_set", {"name": "sid", "value": "abc", "domain": "example.com"})
b.tool_call("storage_set", {"key": "token", "value": "t1"})

b.session_save("/tmp/state.json")     # {"tabs": 1}

b.shutdown()
b2 = fb.FastBrowser(); b2.init()
b2.session_load("/tmp/state.json")    # {"tabs": 1}
b2.open("https://example.com")
print(b2.tool_call("cookie_get", {"domain": "example.com"}))  # {"cookies": [{"value": "abc", ...}]}
print(b2.tool_call("storage_get", {"key": "token"}))          # {"value": "t1"}

11. Audit trail

b.tool_call("get_current_url")
print(b.audit())                      # [{"tool":..., "ok":..., ...}, ...]
b.clear_audit()

Async (asyncio)

import asyncio
import fastbrowser as fb

async def main():
    b = fb.AsyncFastBrowser()
    await b.init()

    t1 = (await b.open("https://example.com"))["tab"]
    t2 = (await b.open("https://example.com/login"))["tab"]

    # multi-tab concurrency — the two calls run truly in parallel
    r1, r2 = await asyncio.gather(
        b.tool_call("get_page_title", {"tab": t1}),
        b.tool_call("get_page_title", {"tab": t2}),
    )
    print(r1["title"], r2["title"])

asyncio.run(main())

Blocking operations (open/tool_call/snapshot/screenshot…) are offloaded to a thread pool in the async interface, and the kernel releases the GIL, so gather runs concurrent tabs truly in parallel.

Real browser (Chromium)

Point at your own Chrome via CDP:

b = fb.FastBrowser()
b.init({
    "engine": "chromium",
    "cdp_url": "ws://127.0.0.1:9222/devtools/browser/<id>",  # start Chrome with --remote-debugging-port=9222
})
b.open("https://example.com")
print(b.snapshot()["title"])

Or use the bundled Chrome for Testing (downloads separately, not shipped in the wheel):

b.init({"engine": "bundled"})   # auto-launches vendor/chromium (or CHROME_PATH)

With a real engine, click/type use real coordinate-level input with Playwright-style actionability, execute_js runs in the real page, screenshot captures real pixels, and cookies/storage/downloads hit real browser state.

API

Area Methods
Lifecycle init(config?), is_initialized, shutdown
Navigation open(url), navigate(url)
Tools tool_call(name, params?), tool_list(), tool_count()
Content snapshot(), screenshot(), screenshot_png(), save_screenshot(path), get_page_* via tools
Rendering set_viewport(w,h), get_view(), set_rendering_mode(mode), start_frame_stream(tab, fps), stop_frame_stream(tab)
Callbacks register_event_callback(cb), register_frame_callback(cb)
State status(), get_info(), audit(), clear_audit()
Session session_save(path), session_load(path), clear_state()

Notes

  • Single-instance semantics: one FastBrowser per process (the kernel is a process-wide singleton behind a shared runtime). Use one instance and drive tabs concurrently.
  • Callbacks (register_event_callback/register_frame_callback) fire on a dedicated dispatcher thread outside the engine lock — safe to re-enter the browser from inside them.
  • License: Apache-2.0 (matches the kernel).

Test

python -m pytest tests/ -q          # mock engine (no browser)
TMPDIR=/tmp python -m pytest tests/test_chromium.py -q   # real Chromium (needs vendor/chromium)

Metadata

Release files for fastbrowser 0.1.3

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fastbrowser-0.1.3-cp38-abi3-win_amd64.whl CPython 3.8 abi3 Windows x86-64 Details
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fastbrowser-0.1.3-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.8 abi3 Linux glibc 2.17+ ARM64 Details
fastbrowser-0.1.3-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl CPython 3.8 abi3 macOS 11.0+ ARM64, macOS 10.12+ universal2 (ARM64, x86-64), macOS 10.12+ x86-64 Details

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