Generative AI in data collection: Challenges and innovations

21 November 2024

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Two out of three companies leverage gen AI-based solutions, McKinsey states. This statistics confirms double growth of neural networks' popularity as business tools, comparing to previous year.

Generative AI enhances data analytics and web info collection by automating recurrent operations, from accessing online platforms through geo targeted proxies to studying acquired datasets real-time, finding patterns and performing predictive analysis. To become capable of processing natural language and understand nuances of web scraping, ChatGPT and similar NLP-driven models pass special training. Which in turn means gathering internet-based insights at scale.


In 2025, Astro, as an enterprise data gathering infrastructure, offers to buy cheap residential proxy pools for the evolving AI data collection needs. With our strict KYC/AML policies’ compliance and full compatibility with third-party software, Astro suits for handling challenges and introducing innovations described further.

What is data collection with AI and for it: Astro’s picks

Generative AI-driven models, exemplified by tools like Gemini, Copilot, Claude, and ChatGPT, scrape and process the information according to prompts in natural human languages. Unlike traditional artificial intelligence, which focuses on specific tasks, generative AI processes open-ended queries involving diverse sources of knowledge.

Key differences between two advanced tools are:

Aspect Traditional AI Generative AI 
Scope Task-specific purposes, e.g. clustering, pricing. Open-ended prompts with varied outputs.
Integration Standalone tools with limited interactivity. Works seamlessly with solutions of 2025 like web scraping chatbot’s setups.
Informational needs Domain-specific, structured datasets. Large-scale structured and unstructured datasets.
Infrastructure  Affordable and accessible for SMEs. Strives for robust infrastructure and higher costs, a corporations-oriented solution. 
Legal implications Limited risk due to smaller datasets. Complex copyright concerns and necessities to buy cheap residential proxy pools from ethically-compliant infrastructures.

Dependency on the quality and amounts of initial informational repositories has altered web scraping practices in favor of:

Challenges in AI-enabled data collection: geo targeted proxies and other innovations

The intersection of gen AI and internet info’s gathering practices faces challenges in various fields:

Area Details Solutiions
Information’s quality Complex measures for detecting harmful content or misinformation. 
  • Implement quality control systems (Dataiku, Talend)
  • Integrate AI-based filters for sentiment analysis leveraging tools like ChatGPT scraper.
Datasets’ management Handling and training LLMs on vast amounts of pre-selected info is challenging. Potential inefficiencies and biases may occur.
  • Automate workflows (Apache Airflow, Alteryx)
  • Prioritize curated info (Snowflake)
  • Introduce regular audits (Databricks).
Ethical compliance Issues with:
  • Copyright infringement
  • Private details’ use
  • Scraping terms’ violation. 
Traceability Difficulty in tracking sources of web insights and their leverage.
  • Develop robust data lineage tracking tools (Apache Atlas, Collibra)
  • Ensure proper logging of sources (Elasticsearch, Datadog).
Anti-scraping defenses Increasing deployment of anti-bot mechanisms and paywalls by target internet pages.
  • Apply ethical scraping techniques: e.g. follow guidance in robots.txt
  • Adapt to dynamic fingerprinting methods
  • Use geo targeted proxies with real-users’ residential or 3G/4G/5G IPs.

How can ChatGPT scrape websites and why buy cheap residential proxy from Astro?

Generative AI models serve as supplementary frameworks for gathering diverse and relevant online information. While not directly scraping sites, neutral-layered tools:

  1. Write programming code
  2. Solve CAPTCHAs
  3. Process and analyze obtained data
  4. Assist in gaining real-time insights. 

Advanced robots perform sentiment analysis and predictive modeling. So too with scraping with Astro in a legal and AML/KYC-compliant way.

ChatGPT, proxy pools with precise geotargeting within cities or ISPs, Scrapy, BeautifulSoup and other frameworks participate in maintaining seamless scraping pipelines. Buying cheap residential proxy pools in 2025 from Astro leads to gaining imminent access to real-user IPs in 100+ countries, with API, SOCKS5/HTTP(S) and TCP encryption support.

Get a free proxy trial to extract data for machine learning seamlessly or deploy generative AI as a web scraping assistant at corporate level.

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