Social Media Scraper API

According to Markets and Markets research, the AdTech market is projected to grow from $579.4B (2023) to $1496.2B by 2030, with an annual growth rate of 14.5%. As the ad verification landscape accelerates, so does the need to collect publicly available real-time data.

In this guide, we’ll explore the essential strategies and techniques required to maintain ad integrity, combat fraud, and maximize campaign performance in this ever-changing industry. Our marketing experts gathered all the best practices

As a proud member and the co-founder of the Ethical Web Data Collection Initiative (EWDCI), we’re taking all the necessary steps to ensure our services meet all the highest legality, ethics, ecosystem engagement, and social responsibility standards.

One of the most important steps that allow us to provide high-quality publicly available data collection services is ID verification. It’s a crucial step for users seeking to unlock additional features and targets.

Explore how ID verification can help you access popular target groups, particularly with residential proxies.

Artificial intelligence is transforming various fields, ushering in new possibilities for automation and efficiency. As one of the leading AI tools, ChatGPT can be especially helpful in the realm of data collection, where it serves as a powerful ally in extracting and parsing information. So, in this blog post, we provide a step-by-step guide to using ChatGPT for web scraping. Additionally, we explore the limitations of using ChatGPT for this purpose and offer an alternative method for scraping the web.

In this article, we’ll explore the different kinds of errors and exceptions, what causes them, and provide solutions to solving them. No more headaches and cursing your code until it gets scared and starts working – master the language of Python to understand precisely what it wants from you.

Tired of gathering data inefficiently? Well, have you tried cURL? It’s a powerful and versatile command-line tool for transferring data with URLs. Its simplicity and wide range of capabilities make it a go-to solution for developers, data analysts, and businesses alike. Simply put, the cURL GET request method is the cornerstone of web scraping and data gathering. It enables you to access publicly available data without the need for complex coding or expensive software. In this blog post, we’ll explain how to send cURL GET requests, so you’re ready to harness its fullest potential.

With the rapid improvements in artificial intelligence technologies, it seems that 2026 will present some new challenges for web scraping enthusiasts and professionals. Over the years, anti-bot systems have become increasingly sophisticated, which makes extracting valuable data from websites a true challenge. As businesses intensify their efforts to protect against automated bots, traditional web scraping methods are being put to the test. The surge in anti-bot measures is not only due to heightened cybersecurity awareness but also signifies a shift in the digital ecosystem and growing competition. As a result, those who want to leverage publicly available data need to recalibrate their strategies to navigate and circumvent anti-bot systems.

If CAPTCHAs and IP bans were not on your bingo card for 2026, our comprehensive guide is a must-read. We’ve sat down with our scraping gurus and discussed the best practices, gathered all the pro tips, and summarized what’s coming next for anti-bot systems and scrapers. As 2026 approaches, it demands a proactive approach to understanding, outsmarting, and ultimately thriving in the face of escalating anti-bot measures, so grab a cup of coffee and dive into our guide.

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Scraping YouTube comments is one of the most direct ways to tap into user sentiment, uncover insights for market research, and even build large datasets for machine learning models. In this blog, we’ll explore what YouTube comment scrapers are, the various methods to scrape comments (both official and unofficial), and how to choose the best approach for your needs.

Folks, we have some exciting news for you today. We just released the first dedicated Social Media Scraping API in the market. Woot woot!

This all-in-one solution is designed to simplify real-time and on-demand data collection at scale. Yup, no worries about managing proxies, several scrapers, and parsers – we handle it all for you, so you can focus on the data insights you seek.

An Instagram profile scraper allows you to gather public Instagram profile data. Instead of building a scraper yourself, use our Social Media Scraping API. In this blog post, you’ll get Python code samples for real-time and on-demand data collection at a 100% success rate. Avoid blocks and errors and scrape with a shielded IP – check out this game-changing scraping tool and follow our step-by-step guide on how to set it up!

TikTok has become a goldmine of user-generated content and social media insights. With over 1 billion active users creating millions of videos daily, the platform offers unprecedented opportunities for data analysis, trend monitoring, and business intelligence. This comprehensive guide shows you how to scrape TikTok data effectively using Python.

YouTube handles over 3B searches every month, making it the world’s second-largest search engine. Tapping into that web data uncovers trending topics, competitor strategies, and content gaps you can exploit. However, extracting that information requires navigating YouTube’s sophisticated CAPTCHAs and technical hurdles. In this guide, you’ll learn some proven approaches on how to scrape YouTube search results at scale and choose the right method for your specific needs.