以前質問をさせて頂いたPhantomJSをGoogle Colab上で用いて、データスクレイピングの練習をしています。
が、データをcsvファイル内にうまく格納できず下の様なエラーが出てしまいます...。
どの様に対応すれば良いでしょうか...?

コード

!pip install selenium 

# PhantomJS をダウンロード
!wget https://bitbucket.org/ariya/phantomjs/downloads/phantomjs-2.1.1-linux-x86_64.tar.bz2
!tar xf phantomjs-2.1.1-linux-x86_64.tar.bz2
#https://review-of-my-life.blogspot.com/2017/10/python-web-scraping-data-collection-analysis.htmlの練習
#trendAnalytics.py
from selenium import webdriver  
from pandas import * 
import time

#Access to page
# PATH を指定した上で WebDriver を用意
browser = webdriver.PhantomJS(executable_path="/content/phantomjs-2.1.1-linux-x86_64/bin/phantomjs") #PhantomJSのサポートは終わっているらしい...?Headless Chromeを使うべきなのか...?
# DO NOT FORGET to set path
url = "http://b.hatena.ne.jp/search/text?safe=on&q=Python&users=50"
browser.get(url)
!touch trend.csv
df = pandas.read_csv('trend.csv',index_cols=0) #下のエラーの要因

エラー

 /usr/local/lib/python3.6/dist-packages/selenium/webdriver/phantomjs/webdriver.py:49: UserWarning: Selenium support for PhantomJS has been deprecated, please use headless versions of Chrome or Firefox instead
  warnings.warn('Selenium support for PhantomJS has been deprecated, please use headless '
---------------------------------------------------------------------------
EmptyDataError                            Traceback (most recent call last)
<ipython-input-4-f17876ff531c> in <module>()
     11 browser.get(url)
     12 get_ipython().system('touch trend.csv')
---> 13 df = pandas.read_csv('trend.csv') #下のエラーの要因
     14 
     15 #Insert title,date,bookmarks into CSV file

/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision)
    707                     skip_blank_lines=skip_blank_lines)
    708 
--> 709         return _read(filepath_or_buffer, kwds)
    710 
    711     parser_f.__name__ = name

/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    447 
    448     # Create the parser.
--> 449     parser = TextFileReader(filepath_or_buffer, **kwds)
    450 
    451     if chunksize or iterator:

/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
    816             self.options['has_index_names'] = kwds['has_index_names']
    817 
--> 818         self._make_engine(self.engine)
    819 
    820     def close(self):

/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _make_engine(self, engine)
   1047     def _make_engine(self, engine='c'):
   1048         if engine == 'c':
-> 1049             self._engine = CParserWrapper(self.f, **self.options)
   1050         else:
   1051             if engine == 'python':

/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
   1693         kwds['allow_leading_cols'] = self.index_col is not False
   1694 
-> 1695         self._reader = parsers.TextReader(src, **kwds)
   1696 
   1697         # XXX

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()

EmptyDataError: No columns to parse from file