About this API

The Scraper API is the ultimate tool for developers who need to access web data at scale and with high reliability. Modern websites often employ sophisticated anti-bot technologies, causing standard HTTP requests to fail. This API is built to overcome that challenge by incorporating advanced scraping strategies, such as a large proxy pool, geo-location rotation, and emulation of real Chrome browser TLS fingerprints, ensuring you can successfully retrieve data even from sites with strict access controls. It's more than a data-fetching tool; it's the foundation for building any data-driven application, turning the entire internet into your private data source.

Key Features

• Intelligent Proxy Rotation: Automatically switches between proxy servers in multiple geographic locations (e.g., US, Europe) to bypass IP-based blocks and rate limits, increasing scrape success rates.
• Advanced Retry Mechanism: When encountering specific HTTP error codes (like 403 Forbidden) or detecting challenge text in the response (e.g., "Please verify you are not a robot"), the API automatically retries the request with a new proxy IP.
• Request Customization: Allows developers to send custom HTTP headers to precisely mimic the behavior of specific browsers or devices. It also supports setting individual timeouts for each request for fine-grained control.
• JavaScript Rendering Support: For modern single-page applications that rely heavily on JavaScript to load content, the API offers an optional JS rendering engine. It loads the page like a real browser, executing all scripts before returning the final HTML to ensure you capture the complete, dynamic content.
• Built-in Data Extractor: Supports including a custom JavaScript function (extractor) in the request. This function runs on the server-side to directly parse the scraped HTML and return structured JSON data, greatly simplifying client-side logic by eliminating the need to parse complex HTML code yourself.

Use Cases

Scenario 1: Real-time Competitor Price Monitoring in E-commerce

Situation: An online retailer needs to continuously track the pricing strategies for key products on its main competitors' websites. Implementation: A scheduled daily task calls the Scraper API with a list of target product page URLs. The API's proxy rotation ensures requests are not blocked by competitor firewalls. By using the extractor parameter, key information like price and stock status is extracted directly from each page's HTML on the server and returned as JSON. This structured data is stored in a database to generate price comparison reports, helping the retailer dynamically adjust its pricing to stay competitive.

Scenario 2: Building a Real Estate Data Aggregation Platform

Situation: A startup plans to create a platform that aggregates real estate listings from various websites across different regions. Implementation: The platform's backend system uses the Scraper API to fetch the HTML of the latest property listing pages from target sites. Since many real estate sites use dynamic loading, the API's JavaScript rendering feature is enabled. Once the full HTML is retrieved, the data is fed into an internal parsing engine to extract details like price, address, and square footage for each property. This data is then standardized and stored in a central database for the front end to display.

Scenario 3: Powering a Financial News Sentiment Analysis Service

Situation: A fintech company offers a service that analyzes the sentiment of financial news about public companies to aid investment decisions. Implementation: The service first identifies relevant new articles from various sources. It then uses the Scraper API to reliably fetch the full text of these articles, bypassing anti-scraping measures on some sites. The extracted plain text is then passed to another AI model or API for sentiment scoring. The resulting sentiment index is provided to clients for quantitative trading or market research. In this workflow, the Scraper API is the critical first step that ensures a stable and reliable data source.

How it Works: Endpoints & Response

This API receives a target URL and configuration parameters via a core endpoint and returns a detailed JSON object with the scraping results.

Endpoint Example: https://hub.juheapi.com/scraper/v1/scrape

The response structure is clear and provides everything needed for in-depth debugging. The body field contains the final raw HTML. The headers and status_code fields show the target server's final response after all redirects, which is crucial for analyzing failed scrapes. The request_info object provides metadata about the scrape itself, such as the final URL visited, which is useful for handling redirects.