Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.hasdata.com/llms.txt

Use this file to discover all available pages before exploring further.

HasData offers two ways to extract data: APIs and Scraper Jobs. Both are powered by the same backend, but differ in how they’re triggered, what they’re best suited for, and how results are delivered.

​
When to Use APIs

Use APIs when you need:
  • Fast, real-time responses
  • One-off requests with a known URL or query
  • Integration into apps, bots, dashboards, or workflows that expect immediate data
APIs are synchronous — you send a request and get the result in the same HTTP response.
Example Use Cases
  • Search Google SERP and get results back immediately
  • Fetch product data from Amazon or a listing from Zillow
  • Grab metadata from a specific page

​
When to Use Scraper Jobs

Use Scraper Jobs when you need to:
  • Scrape a large number of pages or listings
  • Crawl through paginated results
  • Extract data from complex platforms (e.g. Google Maps, Zillow)
  • Run structured scraping at scale
Scraper Jobs are asynchronous — you submit a job with parameters like URLs, filters, or depth. The job runs in the background, and you can:
  • Receive the result via webhook
  • Or poll for status and download the result when it’s ready
Example Use Cases
  • Crawl all listings for “restaurants in New York” from Google Maps
  • Scrape paginated product results from Amazon or Redfin
  • Extract 1,000+ real estate listings from Zillow with filters
  • Crawl all pages from a website and extract structured content (e.g. blog posts, articles)
Jobs are designed for bulk extraction, crawling, or anything that can’t be done in a single API call.

​
Summary

FeatureAPIScraper Job
ExecutionReal-timeQueued / background
ResponseSync (immediate)Async (webhook or polling)
Best forSingle queriesMulti-page or high-volume scraping
Credit ModelPer requestPer data row