Author: taskagi-blog
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Product Update: HyperVoice Welcomes 5 New Voices to Our Library!
Exciting news for all HyperVoice users! We’ve just expanded our voice library with 5 new voices to enhance your content creation experience. Whether you’re producing audiobooks, podcasts, e-learning materials, or marketing videos, these new additions offer a range of accents and tones to match your project’s unique needs. Why This Matters: How to Access the…
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Product Update: HyperVoice Text-to-Speech Now Supports Up to 1000 Characters!
We’re thrilled to announce a significant upgrade to our HyperVoice service at TaskAGI.net! We’ve doubled the text-to-speech generation limit from 500 characters to 1000 characters per request. This enhancement is designed to help you produce longer, more engaging, and seamless audio content with even greater ease. Give HyperVoice a try! What Does This Mean for…
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How to scrape Facebook Marketplace? Category, Location & Keyword!
We are excited to announce the expansion of our Facebook Marketplace Scraper API with powerful new endpoints. These additions make it easier than ever for developers to extract specific, relevant data from Facebook Marketplace listings, enabling robust integrations and advanced data-driven solutions for your applications. Whether you are looking to scrape individual marketplace items, perform…
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How to Scrape Airbnb Property and Reviews Using Python?
Airbnb offers a vast amount of data on properties, from amenities to customer reviews, making it an invaluable source of information for real estate research, market analysis, and vacation planning. Instead of manually browsing through listings, TaskAGI’s Airbnb Scraper API allows you to extract relevant data quickly and efficiently. In this guide, we’ll show you…
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How to Scrape LinkedIn Company Data Using Python?
LinkedIn company pages are valuable resources for gathering information about businesses, such as their size, locations, specialties, and recent updates. Extracting this data can be highly beneficial for market research, competitor analysis, or generating targeted business leads. Instead of manually navigating LinkedIn or dealing with the complexities of scraping, TaskAGI’s LinkedIn Scraper API offers an…
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How to Scrape LinkedIn Job Postings Using Python?
LinkedIn is a powerful platform for job seekers, recruiters, and professionals looking to connect. Extracting data on job postings can be immensely valuable for conducting market analysis, gathering hiring trends, or generating targeted leads. Instead of navigating LinkedIn manually or struggling with web scraping complexities, TaskAGI’s LinkedIn Scraper API offers a straightforward solution to scrape…
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How to Scrape LinkedIn Profiles Using Python?
LinkedIn profiles are a treasure trove of information for business networking, market research, recruitment, and much more. Extracting this data manually can be time-consuming, and direct scraping methods often lead to challenges due to LinkedIn’s changing structure and strict policies. Thankfully, TaskAGI’s LinkedIn Scraper API makes it straightforward to gather profile data in a compliant…
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How to Scrape LinkedIn Posts Using Python?
Gathering data from LinkedIn posts can provide valuable insights for various purposes such as professional analysis, industry trend tracking, or competitor benchmarking. However, LinkedIn’s dynamic structure and strict regulations make direct scraping a complex endeavor. Fortunately, TaskAGI’s LinkedIn Scraper API offers a streamlined solution to extract relevant data effortlessly while ensuring compliance with LinkedIn’s guidelines.…
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How to Scrape Facebook Groups Using Python?
Scraping Facebook groups can be an invaluable source of data for research, marketing, or community analysis. However, Facebook’s strict privacy policies and constant updates make it challenging to scrape directly. Fortunately, TaskAGI’s Facebook Scraper API provides a solution to safely and efficiently gather the data you need without violating Facebook’s guidelines. Learn how to scrape…