FetchFox

What is FetchFox?

FetchFox is an AI-powered web scraping tool that enables users to extract desired data from any website. It functions as a Chrome Extension and utilizes AI technology to analyze the raw text of a webpage and identify the specific data requested by the user. The tool allows users to describe the desired information in plain English, making it accessible and user-friendly. With FetchFox, users can quickly gather data for various purposes such as building lead lists, conducting research, or analyzing market segments. It is especially useful for scraping websites like LinkedIn and Facebook, which implement anti-scraping measures. FetchFox's AI capabilities make it effective at navigating complex HTML structures, simplifying the data extraction process. The tool involves three simple steps: installing the extension, configuring the scrape job, and then scraping the data as needed from visited web pages.

Who created FetchFox?

FetchFox was created by CODEGOPHERS and was launched on November 7, 2023. It is an AI-powered web scraping tool that operates as a Chrome Extension, allowing users to extract specific data from websites using plain English descriptions. FetchFox is particularly useful for scraping platforms like LinkedIn and Facebook, bypassing anti-scraping measures. The tool simplifies the data extraction process by leveraging AI to interpret raw text and navigate complex HTML structures. Users can easily configure scraping jobs, visit relevant web pages, and download extracted data as CSV files for further use .

What is FetchFox used for?

• Building a list of leads
• Assembling research data
• Scoping out a market segment
• Scraping data from LinkedIn, GitHub, and Twitter
• Building lead lists
• Gathering data from LinkedIn
• Extracting project information from GitHub
• Retrieving Twitter account details
• Summarizing work experience
• Summarizing project functions
• Finding programming languages used in a project
• Checking the number of stars on a GitHub repository
• Gathering data to build a list of leads
• Extracting a person's name from LinkedIn
• Finding a person's current employer on LinkedIn
• Retrieving a person's job title from LinkedIn
• Summarizing work experience in a few words from LinkedIn
• Getting the name of a project from GitHub
• Summarizing the purpose of a project in a few words from GitHub
• Finding the number of stars a GitHub repository has
• Extracting names, job titles, and work experience from LinkedIn
• Summarizing project details from GitHub
• Retrieving social media account information such as followers and tweets from Twitter
• Quickly gather data like building a list of leads
• Assemble research data
• Scope out a market segment
• Scrape data from websites like LinkedIn and Facebook
• Extract specific information using plain English descriptions
• Navigate complex HTML structures for data extraction
• Retrieve information such as job titles, programming languages, and follower counts
• Customer support via [email protected]

Who is FetchFox for?

• Professionals in market research
• Lead generation specialists
• Data Analysts
• Business Strategists
• Sales professionals
• Marketing professionals
• Business analysts
• Researchers
• Entrepreneurs
• Recruiters
• Market analysts

How to use FetchFox?

FetchFox is an AI-powered web scraping tool that enables users to extract desired data from any website. It functions as a Chrome Extension and utilizes AI technology to analyze the raw text of a webpage and identify the specific data requested by the user.

The tool allows users to describe the desired information in plain English, making it accessible and user-friendly. With FetchFox, users can quickly gather data for various purposes such as building lead lists, conducting research, or analyzing market segments.

It is especially useful for scraping websites like LinkedIn and Facebook, which implement anti-scraping measures. FetchFox's AI capabilities make it effective at navigating complex HTML structures, simplifying the data extraction process.

Using FetchFox involves three simple steps: installing the Chrome extension from the Chrome Web Store, configuring the scraping job by specifying the desired data using plain English descriptions, and scraping the data by visiting the relevant web pages and clicking on the extension.

The extracted data can then be downloaded as a CSV file for future use. FetchFox provides examples of its functionality, including scraping data from LinkedIn, GitHub, and Twitter.

These examples demonstrate how users can retrieve information such as a person's job title, a project's programming language, or the number of followers for a Twitter account. FetchFox was developed by CODEGOPHERS and offers customer support via [email protected].