VOCO | E-commerce & social media platform user review download analysis
Provides review downloading and user profile analysis, and covering major e-commerce and social media platforms.
Analyze and scrape Facebook posts and comments based on user-defined keywords.
按已采集快照查看用户数变化。
展示最近 7 日窗口内已采集的评分快照,辅助判断近期评分是否稳定。
同口径展示 1 天、7 天、30 天的绝对增长与增长率。
查看发布时间、版本、支持语言、最近更新和抓取时间。
查看插件说明、主要功能和适用场景。
Facebook Posts and Comments Analyzer is an innovative Chrome extension designed to help users efficiently collect and analyze Facebook posts and comments. This powerful tool scrapes content directly into an Excel file, enabling a detailed examination of social interactions at your fingertips.
Key Features:
Data Extraction: Effortlessly scrape posts and comments from Facebook pages and profiles.
Excel Integration: Automatically format and save the scraped data into an Excel spreadsheet for easy access and manipulation.
Custom Keyword Summary: Customize and highlight keywords to generate a summary page, focusing on your specific areas of interest.
Insightful Analysis: Gain valuable insights with the summarized data page, presenting the key information in a digestible format.
查看最近评论和评分分布。
商店综合星级:4.3。下方星级分布只统计已同步评论正文;如果某个插件只有公开分数、没有真实评论正文,这里可能为空。
查看 Chrome 商店详情页中的相关产品。
Provides review downloading and user profile analysis, and covering major e-commerce and social media platforms.
Extract Facebook Group Members in bulk
Exports Facebook post's comments in bulk
Business leads scraper tool to extract people, pages, groups, and place information from Facebook search results easily.
FB Group Scraper allows you to extract unlimited members from any Facebook group and save the data in a CSV file.
Instantly reveal Facebook user details from any fb profile URL or ID. View Name, location & more profile data with one click.
not so accurate with the comments, buggy but its FREE!
Gets any type of lead by scraping post and comments from any group. Filters out contacts names, phones, and email address for buyer/seller list.
Amazing extension helps a lot with scraping data from facebook