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from __future__ import annotations
import sys
import os
import time
import csv
import json
import dataclasses
from dataclasses import dataclass, asdict
from typing import List, Dict, Optional, Tuple
from urllib.parse import quote_plus
from bs4 import BeautifulSoup # type: ignore
import pandas as pd # type: ignore
from selenium import webdriver # type: ignore
from selenium.webdriver.common.by import By # type: ignore
from selenium.webdriver.chrome.service import Service # type: ignore
from selenium.webdriver.chrome.options import Options # type: ignore
from selenium.webdriver.support.ui import WebDriverWait # type: ignore
from selenium.webdriver.support import expected_conditions as EC # type: ignore
from selenium.common.exceptions import TimeoutException, NoSuchElementException # type: ignore
# -----------------------------
# Data model
# -----------------------------
@dataclass
class AdRecord:
source: str # "facebook_ad_library" / "instagram"
advertiser: str # Page/Account name if detectable
ad_text: str # Primary text we could capture
ad_link: str # Link to the ad details or outbound
media_urls: List[str] # Images/videos if easily captured
timestamp: float # When we scraped
# -----------------------------
# Pure HTML parsing utils (unit-testable, no Selenium)
# -----------------------------
SAMPLE_AD_HTML = """
<div class="ad-card">
<div class="header"><span>Sponsored</span> · <a href="https://facebook.com/SomeBrand">SomeBrand</a></div>
<div class="body">Glow faster with our GenZ serum! #skincare #genz</div>
<div class="footer"><a href="https://example.com/buy-now">Shop Now</a></div>
</div>
<div class="ad-card">
<div class="header"><span>Sponsored</span> · <a href="https://facebook.com/AnotherBrand">AnotherBrand</a></div>
<div class="body">Meet the new foam cleanser — gentle, effective, and clean.</div>
<div class="footer"><a href="https://example.com/learn-more">Learn More</a></div>
</div>
"""
def extract_ads_from_html(html: str) -> List[AdRecord]:
"""Best-effort extraction from generic ad-like HTML (for testing).
Looks for blocks that contain the word 'Sponsored'.
"""
soup = BeautifulSoup(html, "html.parser")
ads: List[AdRecord] = []
candidates = soup.find_all(string=lambda s: isinstance(s, str) and "sponsored" in s.lower())
seen_blocks = set()
for node in candidates:
block = node
# Climb to a container block
for _ in range(3):
if block and block.parent:
block = block.parent
if not block or id(block) in seen_blocks:
continue
seen_blocks.add(id(block))
advertiser = ""
adv_a = block.find("a")
if adv_a and adv_a.text:
advertiser = adv_a.text.strip()
text_parts = []
body = block.find(class_="body")
if body and body.text:
text_parts.append(body.text.strip())
else:
text_parts.append(block.get_text(" ", strip=True))
ad_text = " ".join(text_parts)[:5000]
link = ""
a_tag = block.find("a", href=True)
if a_tag:
link = a_tag["href"]
ads.append(
AdRecord(
source="html_sample",
advertiser=advertiser,
ad_text=ad_text,
ad_link=link,
media_urls=[],
timestamp=time.time(),
)
)
return ads
# -----------------------------
# Selenium scraping (Meta Ad Library)
# -----------------------------
def _build_chrome(headless: bool = True) -> webdriver.Chrome:
opts = Options()
if headless:
# "new" headless is more stable in recent Chrome
opts.add_argument("--headless=new")
opts.add_argument("--no-sandbox")
opts.add_argument("--disable-dev-shm-usage")
opts.add_argument("--window-size=1600,1200")
# 1) Try system ChromeDriver first (recommended for CI/sandboxes without ssl)
try:
return webdriver.Chrome(options=opts)
except Exception as e1:
# 2) Fallback to webdriver_manager (requires internet & ssl). Do inside try.
try:
from webdriver_manager.chrome import ChromeDriverManager # type: ignore
return webdriver.Chrome(service=Service(ChromeDriverManager().install()), options=opts)
except Exception as e2:
raise RuntimeError(
"Failed to start ChromeDriver. Ensure Chrome/Chromium + ChromeDriver are installed "
"and on PATH, or run in an environment with internet/SSL for webdriver_manager.\n"
f"System driver error: {e1}\nManager error: {e2}"
)
def scrape_meta_ad_library(
keyword: str,
country: str = "IN",
max_ads: int = 20,
headless: bool = True,
scroll_rounds: int = 8,
per_scroll_pause: float = 2.5,
) -> List[AdRecord]:
"""Scrape Facebook Ad Library search results for a keyword.
NOTE: Selectors on facebook.com change frequently; this is best-effort and may
require updates. Works best when you're logged in and have accepted cookies.
"""
driver = _build_chrome(headless=headless)
try:
base = (
"https://www.facebook.com/ads/library/?active_status=all&ad_type=all&country="
f"{country}&q={quote_plus(keyword)}&search_type=keyword"
)
driver.get(base)
# Give time for cookie banners or initial JS
time.sleep(4)
# Try to accept cookies if a button exists
try:
WebDriverWait(driver, 5).until(
EC.element_to_be_clickable((By.XPATH, "//button[contains(., 'Allow')] | //button[contains(., 'Accept')]"))
).click()
time.sleep(2)
except Exception:
pass
# Scroll to load more results
last_height = driver.execute_script("return document.body.scrollHeight")
for _ in range(scroll_rounds):
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
time.sleep(per_scroll_pause)
new_height = driver.execute_script("return document.body.scrollHeight")
if new_height == last_height:
break
last_height = new_height
cards = []
# Heuristic selectors (may require tweaks over time)
selectors = [
"div[role='article']", # generic card
"div.x1lliihq.x1n2onr6", # fb new class soup (example)
"div._99s5", # legacy ad card
]
seen = set()
for sel in selectors:
cards.extend(driver.find_elements(By.CSS_SELECTOR, sel))
records: List[AdRecord] = []
for el in cards:
try:
text = el.text.strip()
if not text:
continue
# Require some signal that it's an ad
if "Sponsored" not in text and "Ad details" not in text and "Why am I seeing this ad" not in text:
continue
advertiser = ""
try:
adv = el.find_element(By.XPATH, ".//a[starts-with(@href, 'https://www.facebook.com/')]")
advertiser = adv.text.strip()
except Exception:
pass
ad_link = ""
try:
link = el.find_element(By.XPATH, ".//a[@href and contains(@href, 'ads/library')]")
ad_link = link.get_attribute("href")
except Exception:
# fallback: first link
try:
link = el.find_element(By.XPATH, ".//a[@href]")
ad_link = link.get_attribute("href")
except Exception:
pass
key = (advertiser, ad_link, hash(text))
if key in seen:
continue
seen.add(key)
records.append(
AdRecord(
source="facebook_ad_library",
advertiser=advertiser,
ad_text=text[:5000],
ad_link=ad_link,
media_urls=[],
timestamp=time.time(),
)
)
if len(records) >= max_ads:
break
except Exception:
continue
return records
finally:
driver.quit()
# -----------------------------
# CSV/DF helpers
# -----------------------------
def records_to_dataframe(records: List[AdRecord]) -> pd.DataFrame:
return pd.DataFrame([asdict(r) for r in records])
def save_records_csv(records: List[AdRecord], path: str = "ads_results.csv") -> str:
df = records_to_dataframe(records)
df.to_csv(path, index=False)
return path
# -----------------------------
# Optional Gradio UI (lazy import to avoid ssl at import time)
# -----------------------------
def launch_gradio_ui():
try:
import gradio as gr # type: ignore
except Exception as e: # Includes ModuleNotFoundError: ssl
print(
"[WARN] Gradio could not be imported (likely due to missing ssl in this environment).\n"
" You can still use the CLI: python ad_scraper.py --keyword 'your term'\n"
f" Import error: {e}"
)
return
def _scrape(keyword: str, country: str, max_ads: int, headless: bool):
if not keyword.strip():
return pd.DataFrame(), None
try:
records = scrape_meta_ad_library(keyword=keyword.strip(), country=country, max_ads=max_ads, headless=headless)
except Exception as e:
# Show error in a friendly way
err_df = pd.DataFrame([[str(e)]], columns=["Error"])
return err_df, None
if not records:
return pd.DataFrame(columns=[f"No results for '{keyword}'"]), None
csv_path = save_records_csv(records)
return records_to_dataframe(records), csv_path
with gr.Blocks() as demo:
gr.Markdown("# 📢 Meta Ad Library Scraper (Selenium)\nEnter a keyword to fetch matching ads.")
with gr.Row():
kw = gr.Textbox(label="Keyword", value="GenZ skin care brand")
with gr.Row():
country = gr.Dropdown(["IN","US","GB","CA","AU"], value="IN", label="Country")
max_ads = gr.Slider(1, 100, value=20, step=1, label="Max Ads")
headless = gr.Checkbox(value=True, label="Headless browser")
btn = gr.Button("Scrape")
out_df = gr.Dataframe(label="Results", interactive=False)
out_file = gr.File(label="Download CSV")
btn.click(_scrape, inputs=[kw, country, max_ads, headless], outputs=[out_df, out_file])
demo.launch()
# -----------------------------
# CLI Interface
# -----------------------------
def main_cli(argv: List[str]):
import argparse
p = argparse.ArgumentParser(description="Meta Ad Library scraper with Selenium (Gradio optional)")
p.add_argument("--keyword", "-k", type=str, default="GenZ skin care brand", help="Search keyword")
p.add_argument("--country", "-c", type=str, default="IN", help="Country code (e.g., IN, US)")
p.add_argument("--max-ads", type=int, default=20, help="Max ads to collect")
p.add_argument("--no-headless", action="store_true", help="Run browser with a window")
p.add_argument("--gradio", action="store_true", help="Launch Gradio UI (requires ssl)")
p.add_argument("--test", action="store_true", help="Run unit tests for HTML parsing")
args = p.parse_args(argv)
if args.gradio:
launch_gradio_ui()
return
if args.test:
run_unit_tests()
return
print(f"[INFO] Scraping Meta Ad Library for keyword='{args.keyword}' in country='{args.country}'...")
try:
records = scrape_meta_ad_library(
keyword=args.keyword,
country=args.country,
max_ads=args.max_ads,
headless=not args.no_headless,
)
except Exception as e:
print("[ERROR] Scrape failed:", e)
print("Tip: Ensure Chrome + ChromeDriver are installed and on PATH, or re-run with --gradio in an env that has ssl.")
return
if not records:
print("[INFO] No ads found.")
return
csv_path = save_records_csv(records)
print(f"[INFO] Saved {len(records)} ads to {csv_path}")
# -----------------------------
# Tests (no network/browser needed)
# -----------------------------
def run_unit_tests():
print("[TEST] Running HTML parsing tests...")
ads = extract_ads_from_html(SAMPLE_AD_HTML)
assert len(ads) >= 2, "Expected at least 2 ads from sample HTML"
assert any("GenZ serum" in a.ad_text for a in ads), "Should capture sample ad body text"
assert any("SomeBrand" in a.advertiser for a in ads), "Should capture advertiser name"
print("[TEST] OK — basic HTML extraction works.")
if __name__ == "__main__":
main_cli(sys.argv[1:]) |