Prompt to
scrape any URL

Apply simple human instruction to scrape data at scale from any layout

Start Scraping

URL + Prompt = Structured Data.

From 1 to 1,000 pages in 1 click.

No code. No maintenance.

URL + Prompt = Structured Data.

From 1 to 1,000 pages in 1 click.

No code. No maintenance.

Integrates with your workflow:

⭐ 1,200+Loved by developers on GitHub

HOW IT WORKS?

3 easy steps to extract any data

Select

uniqlo.com/men/t-shirts

h&m.com/men/tops

Input URLs or Select from Website Catalog

Describe

Give me the products' titles, prices, and discounts

Name

Text

Prompt

Price

Number

Prompt

Discount

Number

Prompt

Give human-like instructions to get data

Extract

Schedule

Extract

Extract Instantly or Schedule recurrent extraction

USE CASES

Scrape what matters

E-commerce Listing Details

Get all the info about your competitors' products

URL

https://www.amazon.com/adidas+shoes+men

PROMPT

Extract all the sneakers with prices, reviews and ratings

Looks good?

Use Agent to generate a Scraper for same structured pages

name	price	reviews	rating
Men's Run Falcon 5 Sneaker	$32.99	1,263	4.4
Men's Lite Racer Adapt 7.0 Running Sneakers	$43.70	3,354	4.4
Men's Barreda Sneaker	$47.55	252	4.6
Men's Daily 3.0 Sneaker	$39.11	15,640	4.7
Men's Kaptir 3.0 Shoe	$36.18	3,098	4.5

Real Estate Information

Analyze the real estate market to get the best deal

URL

https://www.realtor.com/realestateandhomes-detail/111-W-57th-St_New-York

PROMPT

Get me the property's name, type, address and price per sqft

Looks good?

Use Agent to generate a Scraper for same structured pages

price_per_sqft	type	name	address
$9,582	Condo	111 W 57th Quadplex St # 80, New York, NY 10019	111 W 57th Quadplex St # 80, New York, NY 10019

Lead Generation & Competitors Research

Gather all the contact info about your prospect leads

URL

https://parsera.org

PROMPT

Give me the company email and social medias

Looks good?

Use Agent to generate a Scraper for same structured pages

twitter	github	email	linkedin
https://x.com/Raznem	https://github.com/raznem/parsera	contact@parsera.org	https://www.linkedin.com/company/parsera

Insights from News

Analyze policy, economy, niche, using only relevant info

URL

https://www.bbc.com/news/articles/c1dn04lvgpdo

PROMPT

Provide all quotes, their quoters, and the context of why those quotes were made

Looks good?

Use Agent to generate a Scraper for same structured pages

quote	context	quoter
By a factor of 2 to 1, you want a new political party and you shall have it!	Referencing that poll in his post on Saturday, Musk wrote:	Musk
When it comes to bankrupting our country with waste \|& graft, we live in a one -party system, not a democracy.	Referencing that poll in his post on Saturday, Musk wrote:	Musk
Today, the America Party is formed to give you back your freedom.	Referencing that poll in his post on Saturday, Musk wrote:	Musk
big, beautiful bill	The legislation - which Trump has called his	Trump
Elon may get more subsidy than any human being in history, by far,	Trump wrote on his social media site, Truth Social, this week.	Trump
Without subsidies, Elon would probably have to close up shop and head back home to South Africa.	Trump wrote on his social media site, Truth Social, this week.	Trump

URL

https://www.amazon.com/adidas+shoes+men

PROMPT

Extract all the sneakers with prices, reviews and ratings

Looks good?

Use Agent to generate a Scraper for same structured pages

name	price	reviews	rating
Men's Run Falcon 5 Sneaker	$32.99	1,263	4.4
Men's Lite Racer Adapt 7.0 Running Sneakers	$43.70	3,354	4.4
Men's Barreda Sneaker	$47.55	252	4.6
Men's Daily 3.0 Sneaker	$39.11	15,640	4.7
Men's Kaptir 3.0 Shoe	$36.18	3,098	4.5

FEATURES

Features for every Use Case

Use Website Catalog

Generate Scraper

1import requests

2from bs4 import BeautifulSoup

4def scrape_data(url):

5 response = requests.get(url)

6 soup = BeautifulSoup(response.text, "html.parser")

7 products = soup.find_all("div", class_ = "product")

8 results = []

9 for product in products:

10 title = product.find("h2").text

11 price = product.find("span", class_ = "price").text

12 image = product.find("img").get("src")

13 results.append({"title": title,

14 "price": price,

15 "image": image})

16 return results

Create scraping Code you can scale and reuse Instantly

Schedule Scraping

December 2025

Specify Data targets and automate its Extraction

VIDEO TUTORIALS

Quick How-to Videos

Scrape Hundreds of Pages

Scrape in n8n, Make, Zapier

Pricing

Pay only for the scraping actions you actually need

Starter

Free

100 credits

2 scrapers

GET STARTED

Professional

$29/ month

2 000 credits

5 scrapers

GET STARTED

Start Up

$59/ month

5 000 credits

15 scrapers

GET STARTED

Business

$169/ month

20 000 credits

50 scrapers

GET STARTED

Enterprise

Custom

What's possible?

AI Extraction

Extract any data from any URL

5 credits / per Extract

Scraper Generation

Build your own reusable Scraper (generate scraping code)

50 credits / per Scraper

Scraping

Scrape pages with the generated Scraper

1 credit / per Scrape

HTML Parsing

Parse HTML with the generated Scraper (Enterprise Only)

25 credits / per 1k parses

Frequently Asked Questions

You asked.
We answered.

Parsera is a no-code AI Web Scraping tool that extracts all visible data from any URL using natural-language instructions. It can also generate reusable scraping code for large-scale scraping operations, making it ideal for both one-off extractions and massive, automated pipelines.

Prompt to scrape any URL

3 easy steps to extract any data

Select

Describe

Extract

Scrape what matters

E-commerce Listing Details

Real Estate Information

Lead Generation & Competitors Research

Insights from News

Features for every Use Case

Use Website Catalog

Generate Scraper

Schedule Scraping

Quick How-to Videos

Scrape Hundreds of Pages

Scrape in n8n, Make, Zapier

Pricing

Starter

Professional

Start Up

Business

Enterprise

AI Extraction

Scraper Generation

Scraping

HTML Parsing

Frequently Asked Questions

You asked.We answered.

What is Parsera?

How does Parsera work?

How is Parsera different from other web scrapers?

What is "end-to-end no-code scraping"?

What data can I extract with Parsera?

What are the most popular Parsera scraping use cases?

Do I need to know how to code?

What is "Scraping Code" in Parsera?

Is Parsera suitable for large-scale data projects?

Can Parsera access sitemaps or discover URLs automatically?

Can Parsera scrape websites that require login?

Can I use Parsera via API?

Can I use Parsera with n8n, Make (Integromat), or Zapier?

Do you offer a pay-per-use plan?

How does Parsera ensure responsible and ethical scraping?

Ready to get any data?

Prompt to
scrape any URL

You asked.
We answered.