Web Scraping API

While you can scrape public data, it’s a must to check the website’s terms of service for specific conditions and restrictions. When in doubt, consult a legal expert before scraping data.

Yes, Web Scraping API integrates seamlessly with automation tools like n8n and MCP servers, making it straightforward to collect and structure data for AI agents and LLMs. With scalability and support for structured outputs such as JSON and Markdown, it’s a strong fit for AI-driven workflows.

Web scraping is how today’s teams automate data collection to gain a competitive edge. With our Web Scraping API, you skip the manual work and anti-bot measures, and can focus on extracting insights that drive strategies.

Web scraper use cases include:

• Competitive analysis. Monitor feature updates and customer sentiment to improve inventory and advertising strategies.

• Price intelligence. Track pricing and stock to offer competitive prices and identify discount potential.

• Market research. Get structured data from product listings, review sections, and public news sites to identify trends, customer needs, and new positioning opportunities.

• Lead generation. Scrape company directories, job boards, and public profiles to automatically feed CRM systems with fresh, quality leads.

• Sentiment analysis. Analyze reviews, forums, and niche communities for product feedback.

• Real estate and finance. Collect listing data, blog insights, and transaction records for accurate competitive benchmarking and trend forecast.

• AI training datasets. Build quality datasets for LLMs, AI agents, and recommendation engines from publicly available content

Follow these guidelines to find the web scraper that best fits your needs:

• Define your data goals. Know upfront what you’ll be scraping (e.g. eCommerce listings) and what format you want it in (e.g. JSON) to find scrapers actually designed for the job.

• Check anti-detection features. Keep an eye out for scrapers that handle proxy management and are backed by a vast IP pool. These help avoid CAPTCHAs, geo-restrictions, and IP blocks for uninterrupted scraping.

• Prioritize scaling and automation. Future-proof your data collection projects with scrapers that scale with your needs and are easy to automate with features like task scheduling, bulk upload, and automatic retries.

• Check success rates and reliability. Go with scrapers that have success-based pricing and guarantee 99.99%+ scraping success rates.

• Consider integrations and support. See how well the scraper can be integrated into your infrastructure by checking supported coding languages. Bonus points for 24/7 tech support.

• Test out ease of use. Look for scrapers with full documentation, quick onboarding, and scraping templates. If possible, take advantage of the free trial to see if the scraper lives up to the ease.

• Don’t ignore compliance. Choose providers that take data ethics seriously by sourcing proxies sustainably and complying with data collection laws like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

If you’re in the market for a scraper, consider our Web Scraping API, as it has all of the above and more. Try it out for free now!

Ready-made templates are presets that streamline scraping for common use cases. Instead of writing custom code from scratch, you launch a tested template where you edit a code example using easily customizable options. This makes your data collection projects more efficient and requires zero coding.