HasData

What is HasData?

HasData is a managed web scraping service that turns any URL into structured output such as JSON or Markdown via API. It’s designed for product and engineering teams that need reliable web data collection for data pipelines and AI/LLM workflows without maintaining scraping infrastructure.

Instead of building and fixing scrapers when sites change, HasData provides a pipeline that handles rendering, proxy management, and request retries. The service also includes pre-built scraper endpoints and an AI extraction option that maps page content to structured fields using prompts.

Key Features

• Scrape from URL to structured output (JSON/Markdown) in one API call: Use a single request to retrieve clean, parseable results suitable for automation and downstream systems.
• Headless browser rendering for dynamic pages: Runs headless browser instances for content that depends on client-side JavaScript (including SPAs) so you receive the complete rendered DOM.
• Automatic proxy rotation and IP management: Routes requests through a managed pool combining multiple proxy providers and a private residential network, with geo-targeting and IP rotation.
• Retries handled by the service: Request failures are retried automatically as part of the managed scraping pipeline.
• Pre-built scraper APIs (70+ scrapers) and AI extraction: Provides 70+ scraper options and supports AI extraction that converts page content into structured JSON using plain-text prompts.
• Structured outputs with documented APIs: Returns easy-to-parse JSON and supports table/list-style extraction, with multiple scraper endpoints for popular sources.
• Developer support via SDKs: Offers a Python SDK and a NodeJS SDK to integrate scraping into existing codebases.
• No-code scrapers for popular sources: Pre-built scrapers configured in a visual interface, with scheduling and export to CSV, XLSX, or JSON.

How to Use HasData

1. Choose an endpoint or scraper type: Use a pre-built scraper API for supported sources, or use the URL-to-JSON/Markdown capability with AI extraction when you need structured fields from a page.
2. Integrate via SDK or API: Connect using the provided Python SDK or NodeJS SDK, or call the scraping APIs directly.
3. Send URLs and define output expectations: Provide the target URL and (when using AI extraction) plain-text prompts that describe the structure you want.
4. Run at scale: Use the managed pipeline to scrape many URLs, relying on built-in proxy rotation, rendering, and retries.
5. Export results for analytics or models: Consume JSON/Markdown directly in your pipeline, or use no-code exports (CSV/XLSX/JSON) for scheduled runs.

Use Cases

• Data pipelines that need reliable web data collection: Automate extraction from websites as inputs to analytics or operational datasets, without maintaining scraper code when pages change.
• AI/LLM preparation from web pages: Convert URLs into structured JSON or Markdown and feed the extracted content directly into a model or retrieval workflow.
• SEO and SERP data collection: Use dedicated SERP APIs to extract search results and related SERP information for tracking and reporting.
• Lead enrichment using SERP-derived data: Enrich lead-generation datasets using structured SERP outputs, such as extracting verifiable emails from sources mentioned in the SERP workflow.
• Extracting data from JavaScript-heavy sites: Scrape SPAs and pages rendered via client-side JavaScript with headless browser rendering so the output reflects the fully loaded content.

FAQ

Does HasData provide dynamic page rendering?

Yes. HasData runs headless browser rendering to handle dynamic content and JavaScript-heavy pages, including SPAs.

What output formats are supported?

The service returns structured JSON or Markdown for URL-to-data requests, and scraper endpoints provide structured JSON according to their schemas.

How does HasData manage request routing and blocks?

HasData includes automatic proxy rotation and retries as part of the managed scraping pipeline, and it states that CAPTCHA/bot detection is handled automatically so you receive data rather than block pages.

Are there pre-built scrapers or only custom scraping?

Both. HasData includes 70+ pre-built scrapers (with multiple API endpoints) and also supports AI extraction using plain-text prompts.

Can non-developers use HasData?

Yes. It offers no-code scrapers for 30 popular websites with a visual configuration interface, scheduling, and export options (CSV, XLSX, JSON).

Alternatives

• Self-hosted scraping with headless browsers (e.g., Playwright/Selenium + your own proxy/retry logic): Offers maximum control, but typically requires ongoing maintenance when sites change and more engineering effort for proxy management and rendering.
• Open-source scraping frameworks and crawl pipelines: Suitable for custom pipelines and full control, but you must build the reliability layer (rendering, retries, proxy rotation) that HasData runs for you.
• Data collection platforms that focus on specific sources/datasets: May provide simpler workflows for particular data types, but may not cover “any URL” or the same mix of rendering and proxy automation described by HasData.