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Web Scraping API

No more scraping blocks, CAPTCHAs, or failed requests. Seamlessly collect data from any site. 99.9% success rate.

Automatically handle blocks, CAPTCHAs, and anti-bot systems
Extract complete web data — HTML, JSON, or TXT — in one click
Seamless API integration with 99.9% success rate and 24/7 support

Try free Read documentation

Popular targets

Any public URL works — these are just presets.

curl https://api.floppydata.net/v2/web-data/fetch \

--request POST \

--header 'Content-Type: application/json' \

--header 'X-Api-Key: YOUR_API_KEY' \

--data '{

"url": "https://www.google.com/search?q=best+trail+running+shoes",

"countryCode": "US",

"city": "New York",

"difficulty": "auto"

import httpx

response = httpx.post(

"https://api.floppydata.net/v2/web-data/fetch",

headers={

"Content-Type": "application/json",

"X-Api-Key": "YOUR_API_KEY",

json={

"url": "https://www.google.com/search?q=best+trail+running+shoes",

"countryCode": "US",

"city": "New York",

"difficulty": "auto",

)

data = response.json()

print(data["html"])

const response = await fetch('https://api.floppydata.net/v2/web-data/fetch', {

method: 'POST',

headers: {

'Content-Type': 'application/json',

'X-Api-Key': 'YOUR_API_KEY',

body: JSON.stringify({

url: 'https://www.google.com/search?q=best+trail+running+shoes',

countryCode: 'US',

city: 'New York',

difficulty: 'auto',

}),

});

const { html } = await response.json();

console.log(html);

<?php

$ch = curl_init('https://api.floppydata.net/v2/web-data/fetch');

curl_setopt($ch, CURLOPT_POST, true);

curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

curl_setopt($ch, CURLOPT_HTTPHEADER, [

'Content-Type: application/json',

'X-Api-Key: YOUR_API_KEY',

]);

curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([

'url' => 'https://www.google.com/search?q=best+trail+running+shoes',

'countryCode' => 'US',

'city' => 'New York',

'difficulty' => 'auto',

]));

$response = curl_exec($ch);

curl_close($ch);

echo $response;

package main

import (

"fmt"

"io"

"net/http"

"strings"

)

func main() {

url := "https://api.floppydata.net/v2/web-data/fetch"

payload := strings.NewReader(`{"url":"https://www.google.com/search?q=best+trail+running+shoes","countryCode":"US","city":"New York","difficulty":"auto"}`)

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Content-Type", "application/json")

req.Header.Add("X-Api-Key", "YOUR_API_KEY")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()

body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}

curl https://api.floppydata.net/v2/web-data/fetch \

--request POST \

--header 'Content-Type: application/json' \

--header 'X-Api-Key: YOUR_API_KEY' \

--data '{

"url": "https://www.amazon.com/dp/B0C1000XWH",

"countryCode": "US",

"city": "New York",

"difficulty": "auto"

import httpx

response = httpx.post(

"https://api.floppydata.net/v2/web-data/fetch",

headers={

"Content-Type": "application/json",

"X-Api-Key": "YOUR_API_KEY",

json={

"url": "https://www.amazon.com/dp/B0C1000XWH",

"countryCode": "US",

"city": "New York",

"difficulty": "auto",

)

data = response.json()

print(data["html"])

const response = await fetch('https://api.floppydata.net/v2/web-data/fetch', {

method: 'POST',

headers: {

'Content-Type': 'application/json',

'X-Api-Key': 'YOUR_API_KEY',

body: JSON.stringify({

url: 'https://www.amazon.com/dp/B0C1000XWH',

countryCode: 'US',

city: 'New York',

difficulty: 'auto',

}),

});

const { html } = await response.json();

console.log(html);

<?php

$ch = curl_init('https://api.floppydata.net/v2/web-data/fetch');

curl_setopt($ch, CURLOPT_POST, true);

curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

curl_setopt($ch, CURLOPT_HTTPHEADER, [

'Content-Type: application/json',

'X-Api-Key: YOUR_API_KEY',

]);

curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([

'url' => 'https://www.amazon.com/dp/B0C1000XWH',

'countryCode' => 'US',

'city' => 'New York',

'difficulty' => 'auto',

]));

$response = curl_exec($ch);

curl_close($ch);

echo $response;

package main

import (

"fmt"

"io"

"net/http"

"strings"

)

func main() {

url := "https://api.floppydata.net/v2/web-data/fetch"

payload := strings.NewReader(`{"url":"https://www.amazon.com/dp/B0C1000XWH","countryCode":"US","city":"New York","difficulty":"auto"}`)

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Content-Type", "application/json")

req.Header.Add("X-Api-Key", "YOUR_API_KEY")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()

body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}

curl https://api.floppydata.net/v2/web-data/fetch \

--request POST \

--header 'Content-Type: application/json' \

--header 'X-Api-Key: YOUR_API_KEY' \

--data '{

"url": "https://www.reddit.com/search/?q=coffee",

"countryCode": "US",

"city": "New York",

"difficulty": "auto"

import httpx

response = httpx.post(

"https://api.floppydata.net/v2/web-data/fetch",

headers={

"Content-Type": "application/json",

"X-Api-Key": "YOUR_API_KEY",

json={

"url": "https://www.reddit.com/search/?q=coffee",

"countryCode": "US",

"city": "New York",

"difficulty": "auto",

)

data = response.json()

print(data["html"])

const response = await fetch('https://api.floppydata.net/v2/web-data/fetch', {

method: 'POST',

headers: {

'Content-Type': 'application/json',

'X-Api-Key': 'YOUR_API_KEY',

body: JSON.stringify({

url: 'https://www.reddit.com/search/?q=coffee',

countryCode: 'US',

city: 'New York',

difficulty: 'auto',

}),

});

const { html } = await response.json();

console.log(html);

<?php

$ch = curl_init('https://api.floppydata.net/v2/web-data/fetch');

curl_setopt($ch, CURLOPT_POST, true);

curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

curl_setopt($ch, CURLOPT_HTTPHEADER, [

'Content-Type: application/json',

'X-Api-Key: YOUR_API_KEY',

]);

curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([

'url' => 'https://www.reddit.com/search/?q=coffee',

'countryCode' => 'US',

'city' => 'New York',

'difficulty' => 'auto',

]));

$response = curl_exec($ch);

curl_close($ch);

echo $response;

package main

import (

"fmt"

"io"

"net/http"

"strings"

)

func main() {

url := "https://api.floppydata.net/v2/web-data/fetch"

payload := strings.NewReader(`{"url":"https://www.reddit.com/search/?q=coffee","countryCode":"US","city":"New York","difficulty":"auto"}`)

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Content-Type", "application/json")

req.Header.Add("X-Api-Key", "YOUR_API_KEY")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()

body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}

curl https://api.floppydata.net/v2/web-data/fetch \

--request POST \

--header 'Content-Type: application/json' \

--header 'X-Api-Key: YOUR_API_KEY' \

--data '{

"url": "https://chatgpt.com/?q=weekly+meal+prep+ideas",

"countryCode": "US",

"city": "New York",

"difficulty": "auto"

import httpx

response = httpx.post(

"https://api.floppydata.net/v2/web-data/fetch",

headers={

"Content-Type": "application/json",

"X-Api-Key": "YOUR_API_KEY",

json={

"url": "https://chatgpt.com/?q=weekly+meal+prep+ideas",

"countryCode": "US",

"city": "New York",

"difficulty": "auto",

)

data = response.json()

print(data["html"])

const response = await fetch('https://api.floppydata.net/v2/web-data/fetch', {

method: 'POST',

headers: {

'Content-Type': 'application/json',

'X-Api-Key': 'YOUR_API_KEY',

body: JSON.stringify({

url: 'https://chatgpt.com/?q=weekly+meal+prep+ideas',

countryCode: 'US',

city: 'New York',

difficulty: 'auto',

}),

});

const { html } = await response.json();

console.log(html);

<?php

$ch = curl_init('https://api.floppydata.net/v2/web-data/fetch');

curl_setopt($ch, CURLOPT_POST, true);

curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

curl_setopt($ch, CURLOPT_HTTPHEADER, [

'Content-Type: application/json',

'X-Api-Key: YOUR_API_KEY',

]);

curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([

'url' => 'https://chatgpt.com/?q=weekly+meal+prep+ideas',

'countryCode' => 'US',

'city' => 'New York',

'difficulty' => 'auto',

]));

$response = curl_exec($ch);

curl_close($ch);

echo $response;

package main

import (

"fmt"

"io"

"net/http"

"strings"

)

func main() {

url := "https://api.floppydata.net/v2/web-data/fetch"

payload := strings.NewReader(`{"url":"https://chatgpt.com/?q=weekly+meal+prep+ideas","countryCode":"US","city":"New York","difficulty":"auto"}`)

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Content-Type", "application/json")

req.Header.Add("X-Api-Key", "YOUR_API_KEY")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()

body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}

curl https://api.floppydata.net/v2/web-data/fetch \

--request POST \

--header 'Content-Type: application/json' \

--header 'X-Api-Key: YOUR_API_KEY' \

--data '{

"url": "https://www.linkedin.com/jobs/search/?keywords=microsoft&location=United+States",

"countryCode": "US",

"city": "New York",

"difficulty": "auto"

import httpx

response = httpx.post(

"https://api.floppydata.net/v2/web-data/fetch",

headers={

"Content-Type": "application/json",

"X-Api-Key": "YOUR_API_KEY",

json={

"url": "https://www.linkedin.com/jobs/search/?keywords=microsoft&location=United+States",

"countryCode": "US",

"city": "New York",

"difficulty": "auto",

)

data = response.json()

print(data["html"])

const response = await fetch('https://api.floppydata.net/v2/web-data/fetch', {

method: 'POST',

headers: {

'Content-Type': 'application/json',

'X-Api-Key': 'YOUR_API_KEY',

body: JSON.stringify({

url: 'https://www.linkedin.com/jobs/search/?keywords=microsoft&location=United+States',

countryCode: 'US',

city: 'New York',

difficulty: 'auto',

}),

});

const { html } = await response.json();

console.log(html);

<?php

$ch = curl_init('https://api.floppydata.net/v2/web-data/fetch');

curl_setopt($ch, CURLOPT_POST, true);

curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

curl_setopt($ch, CURLOPT_HTTPHEADER, [

'Content-Type: application/json',

'X-Api-Key: YOUR_API_KEY',

]);

curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([

'url' => 'https://www.linkedin.com/jobs/search/?keywords=microsoft&location=United+States',

'countryCode' => 'US',

'city' => 'New York',

'difficulty' => 'auto',

]));

$response = curl_exec($ch);

curl_close($ch);

echo $response;

package main

import (

"fmt"

"io"

"net/http"

"strings"

)

func main() {

url := "https://api.floppydata.net/v2/web-data/fetch"

payload := strings.NewReader(`{"url":"https://www.linkedin.com/jobs/search/?keywords=microsoft&location=United+States","countryCode":"US","city":"New York","difficulty":"auto"}`)

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Content-Type", "application/json")

req.Header.Add("X-Api-Key", "YOUR_API_KEY")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()

body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}

{

"html": "<!doctype html><html><head><title>…</title></head><body>…</body></html>",

"sourceUrl": "https://www.google.com/search?q=best+trail+running+shoes",

"fetchedAt": "2026-08-17T12:00:00.000Z"

}

{

"html": "<!doctype html><html><head><title>…</title></head><body>…</body></html>",

"sourceUrl": "https://www.amazon.com/dp/B0C1000XWH",

"fetchedAt": "2026-08-17T12:00:00.000Z"

}

{

"html": "<!doctype html><html><head><title>…</title></head><body>…</body></html>",

"sourceUrl": "https://www.reddit.com/search/?q=coffee",

"fetchedAt": "2026-08-17T12:00:00.000Z"

}

{

"html": "<!doctype html><html><head><title>…</title></head><body>…</body></html>",

"sourceUrl": "https://chatgpt.com/?q=weekly+meal+prep+ideas",

"fetchedAt": "2026-08-17T12:00:00.000Z"

}

{

"html": "<!doctype html><html><head><title>…</title></head><body>…</body></html>",

"sourceUrl": "https://www.linkedin.com/jobs/search/?keywords=microsoft&location=United+States",

"fetchedAt": "2026-08-17T12:00:00.000Z"

}

Render example Search results Product page Community posts AI answer Job listings

Google — Search results rendered by the Web Scraping API

Amazon — Product page rendered by the Web Scraping API

Reddit — Community posts rendered by the Web Scraping API

ChatGPT — AI answer rendered by the Web Scraping API

LinkedIn — Job listings rendered by the Web Scraping API

99.9% success rate

195+ countries, cities & ASNs

HTML · JSON · TXT output formats

24/7 support

Automated CAPTCHA Solving

Effortlessly bypass website blocks and anti-bot systems.

Challenge log

Cloudflare challenge ✓ solved

reCAPTCHA v3 ✓ solved

Rate limit 429 ✓ retried

Real Browser Rendering

Loads pages the way a real browser does, so dynamic sites return complete data. Powered by Floppydata.

Raw HTML

<div class="product">
  <h1>SuperFast Laptop</h1>
  <span class="price">
    $1,299.99</span>
  <div class="rating"
    data-value="4.8">_

Parsed JSON

{
  "name": "SuperFast Laptop",
  "price": 1299.99,
  "currency": "USD",
  "rating": 4.8
}

Global Geo-Targeting

Access web content from 195+ countries, cities, and ASNs.

JavaScript Rendering

Extract data from dynamic and JavaScript-heavy websites.

Smart IP Rotation & Retries

Automatic rotation and retry logic keep large jobs stable.

Persistent Sessions & Cookie Handling

Keep sessions stable for multi-step flows and logged-in data extraction.

One platform for every use case

E-commerce

Data collection as an ongoing process, not a one-time action: prices, assortment and product pages turned into orderly structured datasets.

Monitoring prices and assortment
Creating product catalogs
Analyzing competitors

Try free

99.9% success rate

195+ countries, cities & ASNs

Marketing

Watch competitors and the pages that matter: the API handles blocks, CAPTCHAs and anti-bot systems while your team gets the content.

Analyzing competitors
Tracking changes on websites
Collecting content

Try free

195+ countries, cities & ASNs

24/7 support

Fintech

A stable web data pipeline for analytics and BI — reliable performance even under high load.

Tracking changes on websites
Preparing datasets
Monitoring prices and assortment

Try free

99.9% success rate

24/7 support

Market research

Convert disordered pages into orderly structured datasets, ready for analytics, BI, or machine learning.

Preparing datasets
Collecting content
Monitoring prices and assortment

Try free

HTML · JSON · TXT output formats

195+ countries, cities & ASNs

Seamless Compatibility with Any AI/ML Workflow and Data Infrastructure

Run Floppydata inside model training pipelines, scraping agents, browser automation, ETL jobs, and analytics stacks without changing how your team already ships data-heavy workloads.

And many more. FloppyData works anywhere your team needs clean traffic, data collection, orchestration, or model operations.

Explore Docs

How does the scraping API work?

Instead of directly accessing the site, the request is sent to the scraping API, and it already interacts with the target resource. This reduces the risk of restrictions and makes the process predictable.

A typical scenario looks like this:

1 you pass the URL and parameters
2 The API processes the page
3 returns the data in a convenient format
4 the information immediately enters the data ingestion pipeline.

$ POST /v2/web-data/fetch {"url": "…", "countryCode": "US"}
✓ queued · task_id=9f3a
→ fetching via US residential IP
→ solving Cloudflare challenge… ok (1.2s)
→ rendering JavaScript… ok
✓ 200 OK — 214 KB received
→ parsed → JSON delivered to your pipeline

If the project requires scaling, the web crawling API is connected, which can click on links and collect data from several levels of the site. For the automation of a significant amount of data, a sophisticated data extraction API is utilized to convert disordered pages into orderly structured datasets.

As a result, a stable web data pipeline is formed, which can be used in analytics, BI, or machine learning.

Where the web data extraction API is used

The modern web data extraction API is not just a parsing tool. It is an element of the digital infrastructure.

Monitoring prices and assortment

Track competitor pricing and stock changes across storefronts, on schedule.

Market visibility
Analyzing competitors

Collect assortment, promo and positioning data from competitor sites at scale.

Competitive intel
Tracking changes on websites

Watch pages for updates and get diffs the moment content changes.

Change detection
Collecting content

Pull articles, listings and reviews as clean text, HTML or JSON.

Content pipelines
Creating product catalogs

Assemble structured product data — names, prices, specs, images — from any source.

Structured catalogs
Preparing datasets

Build clean web datasets for analytics, BI and machine learning.

AI & analytics

Within the company, such a data scraping API becomes part of the overall web data platform. The information is automatically stored and used for reporting or forecasting.

For high-load projects, the crawling API is chosen, which allows you to work with many pages at once.

What to look for when choosing web scraping solutions

When choosing web scraping solutions, it is important to look beyond just query processing speed. Stability and predictability of the result are much more important.

It is worth considering:

Support for dynamic pages
The ability to scale
Transparent web scraping API pricing
Availability of the web scraping free trial
Convenience of documentation

If the system integrates into an existing web data pipeline without complex improvements, this is a good indicator of quality.

Web scraping free trial 5 successful scrapes

Try Free Read documentation

Trial Free 5 successful scrapes Try Free

Basic $19 10K successful scrapes Try It

Advanced $89 100K successful scrapes Try It

Enterprise Custom Tailored to your needs Talk to Team

Easy to Start, Easier to Scale

1
Define target URL and connect to the API with a single line of code
2
Edit crawl parameters and insert your custom logic using Python or JavaScript
3
Retrieve website data as Markdown, Text, HTML, or JSON files

Read documentation

fetch('https://api.floppydata.net/v2/web-data/fetch', {
    method: 'POST',
    headers: {
        'X-Api-Key': 'YOUR_API_KEY',
        'Content-Type': 'application/json'
    },
    body: JSON.stringify({ url: 'https://example.com' })
});

requests.post(
    'https://api.floppydata.net/v2/web-data/fetch',
    headers={
        'X-Api-Key': 'YOUR_API_KEY',
        'Content-Type': 'application/json'
    },
    json={'url': 'https://example.com'}
)

curl -X POST https://api.floppydata.net/v2/web-data/fetch \
  -H "X-Api-Key: $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com"}'

Frequently Asked Questions

What exactly is web scraping?

Web Scraping is an automatic collection of web pages. The system receives the site code and extracts the necessary information for further use.

Is scraping an API legal?

The collection of open data is usually allowed, but it is important to take into account the rules of use of a particular site and the current legislation.

How to use scraper API?

To work, it is enough to send HTTP to the API with the required URL. The service will process the page and return the structured data.

What is meant by scraping data?

Data scraping is the process of collecting and storing data from the web to be reviewed, used, or integrated into a system later.

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Find Your Proxy

Popular Locations

World Location

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Cloud Browser

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Free Tools

Resources

Web Scraping API

All the Reasons to Choose Floppydata Web Scraping API

Automated CAPTCHA Solving

Real Browser Rendering

Global Geo-Targeting

JavaScript Rendering

Smart IP Rotation & Retries

Persistent Sessions & Cookie Handling

One platform for every use case

E-commerce

Marketing

Fintech

Market research

Seamless Compatibility with Any AI/ML Workflow and Data Infrastructure

How does the scraping API work?

Where the web data extraction API is used

Monitoring prices and assortment

Analyzing competitors

Tracking changes on websites

Collecting content

Creating product catalogs

Preparing datasets

What to look for when choosing web scraping solutions

Plans & Pricing

Easy to Start, Easier to Scale

Frequently Asked Questions