te')); return $arr; } /* 遍历用户所有主题 * @param $uid 用户ID * @param int $page 页数 * @param int $pagesize 每页记录条数 * @param bool $desc 排序方式 TRUE降序 FALSE升序 * @param string $key 返回的数组用那一列的值作为 key * @param array $col 查询哪些列 */ function thread_tid_find_by_uid($uid, $page = 1, $pagesize = 1000, $desc = TRUE, $key = 'tid', $col = array()) { if (empty($uid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('uid' => $uid), array('tid' => $orderby), $page, $pagesize, $key, $col); return $arr; } // 遍历栏目下tid 支持数组 $fid = array(1,2,3) function thread_tid_find_by_fid($fid, $page = 1, $pagesize = 1000, $desc = TRUE) { if (empty($fid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('fid' => $fid), array('tid' => $orderby), $page, $pagesize, 'tid', array('tid', 'verify_date')); return $arr; } function thread_tid_delete($tid) { if (empty($tid)) return FALSE; $r = thread_tid__delete(array('tid' => $tid)); return $r; } function thread_tid_count() { $n = thread_tid__count(); return $n; } // 统计用户主题数 大数量下严谨使用非主键统计 function thread_uid_count($uid) { $n = thread_tid__count(array('uid' => $uid)); return $n; } // 统计栏目主题数 大数量下严谨使用非主键统计 function thread_fid_count($fid) { $n = thread_tid__count(array('fid' => $fid)); return $n; } ?>python - Collect Google Play Reviews in Multiple Countries - Stack Overflow
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python - Collect Google Play Reviews in Multiple Countries - Stack Overflow

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I am trying to collect Google Play reviews on certain apps in English-speaking countries using google-play-scraper. The problem was that when I changed the 'country' parameter, it returned the same result for all countries.

from google_play_scraper import reviews, Sort
import pandas as pd
import time

# List of countries to collect reviews from.
# Note: Due to Google Play's regional limitations, some countries may not have available review data.
countries = ['us', 'gb', 'ca', 'au', 'in', 'sg', 'nz', 'za', 'ie', 'pk']

# TikTok's Google Play package name
app_id = 'com.zhiliaoapp.musically'

all_reviews = []

for country in countries:
    try:
        print(f"Fetching reviews for TikTok in {country}...")
        # Fetch up to 100 reviews per country using the NEWEST sort order.
        country_reviews, _ = reviews(
            app_id,
            lang='en',
            country=country,
            sort=Sort.NEWEST,
            count=100  # Adjust the count as needed
        )
        
        # Add the country code to each review entry for later identification.
        for r in country_reviews:
            r['country'] = country
            all_reviews.append(r)
        
        # Sleep briefly to avoid potential rate limits.
        time.sleep(1)
        
    except Exception as e:
        print(f"Error fetching reviews in {country}: {e}")

# Convert the collected reviews to a DataFrame.
df = pd.DataFrame(all_reviews)

# Save the DataFrame to a CSV file.
output_file = "tiktok_reviews.csv"
df.to_csv(output_file, index=False)

print(f"Reviews saved to {output_file}")

I am trying to collect Google Play reviews on certain apps in English-speaking countries using google-play-scraper. The problem was that when I changed the 'country' parameter, it returned the same result for all countries.

from google_play_scraper import reviews, Sort
import pandas as pd
import time

# List of countries to collect reviews from.
# Note: Due to Google Play's regional limitations, some countries may not have available review data.
countries = ['us', 'gb', 'ca', 'au', 'in', 'sg', 'nz', 'za', 'ie', 'pk']

# TikTok's Google Play package name
app_id = 'com.zhiliaoapp.musically'

all_reviews = []

for country in countries:
    try:
        print(f"Fetching reviews for TikTok in {country}...")
        # Fetch up to 100 reviews per country using the NEWEST sort order.
        country_reviews, _ = reviews(
            app_id,
            lang='en',
            country=country,
            sort=Sort.NEWEST,
            count=100  # Adjust the count as needed
        )
        
        # Add the country code to each review entry for later identification.
        for r in country_reviews:
            r['country'] = country
            all_reviews.append(r)
        
        # Sleep briefly to avoid potential rate limits.
        time.sleep(1)
        
    except Exception as e:
        print(f"Error fetching reviews in {country}: {e}")

# Convert the collected reviews to a DataFrame.
df = pd.DataFrame(all_reviews)

# Save the DataFrame to a CSV file.
output_file = "tiktok_reviews.csv"
df.to_csv(output_file, index=False)

print(f"Reviews saved to {output_file}")
Share Improve this question asked Feb 18 at 4:21 Sơn PhạmSơn Phạm 1 New contributor Sơn Phạm is a new contributor to this site. Take care in asking for clarification, commenting, and answering. Check out our Code of Conduct.
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1 Answer 1

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Try fetching without the 'country' property, is it presenting more/different results? Perhaps there is a known bug with that filter.

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