HasData
Why Choose HasData?
if ur buildin AI agents or need steady data feeds w/out the headache of maintaining proxies, this is where u should look first. most devs waste weeks fixin broken scrapers whenever sites update their layout, but this service handles the rendering and anti-bot stuff so u just get clean json back. its super handy for pullin zillow listings or google maps data when u cant afford downtime or bans messin up your pipeline. the standout feature is definately the ai extraction ability combined with mcp support. u dont need to write complex selectors for every new domain, just throw a plain text prompt at it and it figures out the schema needed. integratin it with tools like claude or chatgpt feels seamless and cuts down integration time massively compared to standard api wrappers. though, keep in mind this isnt great for one-time manual checks since the setup cost outweighs the benefit there. pricing scales better for continuous pipelines rather than sporadic requests, so verify the costs match your volume. also if u require total control over the infrastructure itself versus trustin a managed service, you might find it too restrictive. otherwise its a solid pick for automating data collection intelligently.
HasData is the managed web scraping service for data pipelines and AI agents. Send any URL, get clean JSON or Markdown back in one API call. We handle proxies, browser rendering, retries, and anti-bot. 50+ ready scrapers cover Google Search, Maps, News, Zillow, Indeed, and major e-commerce. AI extraction handles any other URL from a plain-text prompt. Use it from Claude, ChatGPT, or your own AI agent via MCP. CLI for everything else.
HasData Introduction
What is HasData?
HasData is essentially a managed web scraping service designed for data pipelines and AI agents who want clean data without managing infrastructure. You drop any URL into their API and get back clean JSON or Markdown in one shot, leaving them to handle the messy bits like proxies, rendering, retries and anti-bot measures. Its got like 50+ pre-built scrapers for things like Google Search, Maps, Zillow, Indeed and major ecommerce platforms so you dont waste time writing custom parsers. Plus the AI extraction part lets you query any other URL with just a plain text prompt, working smooth with Claude or ChatGPT via MCP if your building an agent.
How to use HasData?
Okay so to get started u just need to sign up on the site and grab an api key from the setting area. Once u have that token, you can start making calls right away. It really depends on how u wanna pull data though. For standard stuff like google searches or zillow listings, you just pick the pre-made template and send the url. They take care of the proxies and rendering behind the scenes so u don't get blocked easily. Its super fast to test with curl or any http client too. The cool part is if u're working with an ai agent. You can connect it via mcp directly to tools like claude or chatgpt. Instead of picking a scraper, u just type a prompt like "extract prices from this link" and it figures it out. There's also a cli available if u prefer command line stuff over api endpoints. Basically you set up auth once and then spend time actually using the data instead of wrestling with bot protection scripts.
Why Choose HasData?
if ur buildin AI agents or need steady data feeds w/out the headache of maintaining proxies, this is where u should look first. most devs waste weeks fixin broken scrapers whenever sites update their layout, but this service handles the rendering and anti-bot stuff so u just get clean json back. its super handy for pullin zillow listings or google maps data when u cant afford downtime or bans messin up your pipeline. the standout feature is definately the ai extraction ability combined with mcp support. u dont need to write complex selectors for every new domain, just throw a plain text prompt at it and it figures out the schema needed. integratin it with tools like claude or chatgpt feels seamless and cuts down integration time massively compared to standard api wrappers. though, keep in mind this isnt great for one-time manual checks since the setup cost outweighs the benefit there. pricing scales better for continuous pipelines rather than sporadic requests, so verify the costs match your volume. also if u require total control over the infrastructure itself versus trustin a managed service, you might find it too restrictive. otherwise its a solid pick for automating data collection intelligently.