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Update trend_crawl.py
Browse files- trend_crawl.py +66 -114
trend_crawl.py
CHANGED
@@ -1,120 +1,72 @@
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# Configure Chrome options
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chrome_options = Options()
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chrome_options.add_argument("--headless") # Run in headless mode
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chrome_options.add_argument("--disable-gpu")
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complete_starttime = time.time()
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# URL of the Google Trends page
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#script_dir = os.path.dirname(os.path.abspath(__file__))
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#driver_path = os.path.join(script_dir, 'chromedriver')
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def setup_driver():
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options = webdriver.ChromeOptions()
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options.add_argument('--headless')
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options.add_argument('--no-sandbox')
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options.add_argument('--disable-dev-shm-usage')
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wd = webdriver.Chrome(options=options)
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return wd
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def process_selenium_row(index, selenium_rows, driver):
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"""Extract dynamic data using Selenium by clicking on the row."""
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max_retries = 3
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for attempt in range(max_retries):
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try:
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# Wait for the articles to load dynamically
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WebDriverWait(driver, 10).until(
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EC.presence_of_all_elements_located((By.CLASS_NAME, "xZCHj"))
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)
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# Fetch only the newly loaded articles
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articles = driver.find_elements(By.CLASS_NAME, "xZCHj")
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print(articles)
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# Extract data from the current row only
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dynamic_data = {
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"article": [
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{
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"href": article.get_attribute("href"),
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"title": article.text
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}
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for article in articles
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]
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}
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# Clear previously fetched articles and return current ones
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return dynamic_data
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except Exception as e:
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soup = BeautifulSoup(driver.page_source, "html.parser")
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tables = soup.select('[jsname="cC57zf"]')
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for table in tables:
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rows_bs = table.find_all("tr")
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selenium_rows = driver.find_elements(By.CSS_SELECTOR, '[jsname="oKdM2c"]')
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for index, row_bs in enumerate(rows_bs):
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static_data = [
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[div.get_text(strip=True) for div in cell.find_all("div")]
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for cell in row_bs.find_all("td")[1:4]
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]
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dynamic_data = process_selenium_row(index, selenium_rows, driver)
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combined_row = {
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"static_data": static_data,
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"dynamic_data": dynamic_data
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}
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all_data.append(combined_row)
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return all_data
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except Exception as e:
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print(f"An error occurred: {e}")
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finally:
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driver.quit()
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def crawl_url(url):
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"""Main function to be called from another script."""
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driver = setup_driver()
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return scrape_google_trends(driver, url)
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if __name__ == "__main__":
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#crawl_url(url="https://trends.google.com/trends/trendingsearches/daily?geo=AT&category=2")
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driver = setup_driver()
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from trendspy import Trends
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tr = Trends()
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TREND_TOPICS = {
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1: "Autos and Vehicles",
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2: "Beauty and Fashion",
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3: "Business and Finance",
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20: "Climate",
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4: "Entertainment",
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5: "Food and Drink",
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6: "Games",
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7: "Health",
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8: "Hobbies and Leisure",
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9: "Jobs and Education",
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10: "Law and Government",
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11: "Other",
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13: "Pets and Animals",
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14: "Politics",
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15: "Science",
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16: "Shopping",
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17: "Sports",
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18: "Technology",
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19: "Travel and Transportation"
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}
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trends_json = {}
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def process_trends_for_country(country_code, trends_list):
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if country_code not in trends_json:
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trends_json[country_code] = {"All categories" : {}}
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for trend in trends_list:
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category = None
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for topic_id in trend.topics:
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if topic_id in TREND_TOPICS:
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category = TREND_TOPICS[topic_id]
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break
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if category is None:
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category = TREND_TOPICS[11]
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if category not in trends_json[country_code]:
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trends_json[country_code][category] = {}
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topic_name = trend.keyword
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try:
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news = tr.trending_now_news_by_ids(trend.news_tokens, max_news=3)
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articles = [
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{"title": article.title, "href": article.url}
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for article in news
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]
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except Exception as e:
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articles=[]
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trends_json[country_code]["All categories"][topic_name] = {
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"searchQueries": trend.volume,
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"articles": articles,
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}
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trends_json[country_code][category][topic_name] = {
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"searchQueries": trend.volume,
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"articles": articles,
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}
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def get_trends(countries: list):
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for country in countries:
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trends = tr.trending_now(geo=country)
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process_trends_for_country(country, trends)
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all_categories = trends_json[country]["All categories"]
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sorted_all_categories = dict(
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sorted(all_categories.items(), key=lambda x: x[1]["searchQueries"], reverse=True)
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)
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trends_json[country]["All categories"] = sorted_all_categories
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return trends_json
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