Turn Any URL Into Structured Data

Point the API at any webpage. Get structured JSON back. AI-powered extraction handles the parsing — no CSS selectors, no DOM traversal, no maintenance when sites change. Plus 16+ specialized parsers for major platforms.

Works on any public URL AI-powered extraction, not brittle selectors 16+ specialized parsers for popular platforms Sitemap extraction for full-site crawling

Every Custom Scraper Is a Liability

The traditional approach to web data extraction: inspect the DOM, write CSS selectors, extract the data, deploy, wait for it to break, fix it, repeat. Every website you target becomes a separate maintenance burden. Selectors that worked last Tuesday break when the site ships a design update.

At scale, this becomes untenable. A team scraping 20 websites maintains 20 separate extraction configurations, each with its own failure modes and update cadence. The engineering cost of keeping scrapers alive often exceeds the value of the data they collect.

The alternative — manually copying data from websites — doesn't scale past a few dozen records. Between custom scrapers that break and manual processes that don't scale, most teams are stuck.

Two Core Endpoints Plus 16+ Specialized Parsers

Web Parser

POST https://api.anysite.io/api/webparser/parse

The universal endpoint. Send any URL, get structured content back. The parser extracts the page's main content, cleans HTML artifacts, and returns structured text with metadata.

Parameters

Parameter Type Required Description
url string Yes Any public URL
extract_links boolean No Include extracted links
extract_images boolean No Include image URLs
timeout integer No Timeout in seconds (20–1500)

Response Example

{
  "url": "https://example.com/blog/data-infrastructure-guide",
  "title": "The Complete Guide to Data Infrastructure",
  "content": "Data infrastructure is the foundation layer...",
  "author": "Jane Doe",
  "published_date": "2026-03-05",
  "meta_description": "Learn how to build modern data infrastructure...",
  "links": [
    {"text": "Apache Kafka", "url": "https://kafka.apache.org"},
    {"text": "data warehouse guide", "url": "/guides/warehouse"}
  ],
  "images": [
    {"src": "https://example.com/images/architecture.png", "alt": "Architecture diagram"}
  ],
  "word_count": 3420
}
Cost: 1 credit per URL

Sitemap Extraction

POST https://api.anysite.io/api/webparser/sitemap

Get all URLs from a website's sitemap. Useful for discovering all pages on a site before extraction, building site inventories, or monitoring for new content.

Parameters

Parameter Type Required Description
url string Yes Website URL (finds sitemap automatically) or sitemap URL

Response: List of URLs with last modified dates and change frequency.

Cost: 1 credit

AI-Powered Specialized Parsers

For popular platforms that have complex page structures, Anysite provides specialized AI parsers that extract structured data with platform-specific field names.

Parser Platform What It Extracts
/api/ai-parser/githubGitHubRepos, READMEs, issues, PRs
/api/ai-parser/amazonAmazonProducts, prices, reviews, ratings
/api/ai-parser/glassdoorGlassdoorCompany reviews, salaries, interviews
/api/ai-parser/g2G2Software reviews, ratings, comparisons
/api/ai-parser/trustpilotTrustpilotBusiness reviews, ratings
/api/ai-parser/capterraCapterraSoftware reviews, pricing
/api/ai-parser/producthuntProduct HuntProduct launches, upvotes
/api/ai-parser/crunchbaseCrunchbaseCompany data, funding rounds
/api/ai-parser/angellistAngelListStartup data, jobs
/api/ai-parser/pinterestPinterestPins, boards, profiles
/api/ai-parser/hackernewsHacker NewsPosts, comments, scores
/api/ai-parser/builtwithBuiltWithTechnology stacks
/api/ai-parser/applyboardApplyBoardProgram data
/api/ai-parser/wikileaksWikiLeaksDocument data
/api/ai-parser/trustmrrTrustMRRMRR data
More added continuously
Cost: 1 credit per URL

Code Examples

Python — Extract Any Webpage
import requests

API_KEY = "YOUR_API_KEY"
BASE = "https://api.anysite.io"
headers = {"access-token": API_KEY}

# Parse any URL
page = requests.post(
    f"{BASE}/api/webparser/parse",
    headers=headers,
    json={
        "url": "https://example.com/blog/data-infrastructure-guide",
        "extract_links": True,
        "extract_images": True
    }
).json()

print(f"Title: {page['title']}")
print(f"Word count: {page['word_count']}")
print(f"Links found: {len(page.get('links', []))}")
print(f"\nContent preview: {page['content'][:500]}")
Python — Crawl and Extract an Entire Site
import requests

API_KEY = "YOUR_API_KEY"
BASE = "https://api.anysite.io"
headers = {"access-token": API_KEY}

# Step 1: Get all URLs from sitemap
sitemap = requests.post(
    f"{BASE}/api/webparser/sitemap",
    headers=headers,
    json={"url": "https://example.com"}
).json()

print(f"Found {len(sitemap['urls'])} pages")

# Step 2: Extract content from each page
pages = []
for url_entry in sitemap["urls"][:100]:  # First 100 pages
    page = requests.post(
        f"{BASE}/api/webparser/parse",
        headers=headers,
        json={"url": url_entry["url"]}
    ).json()
    pages.append(page)
    print(f"  Extracted: {page['title']}")
Python — AI Parser for Reviews
import requests

API_KEY = "YOUR_API_KEY"
BASE = "https://api.anysite.io"
headers = {"access-token": API_KEY}

# Extract Glassdoor company reviews
reviews = requests.post(
    f"{BASE}/api/ai-parser/glassdoor",
    headers=headers,
    json={"url": "https://glassdoor.com/Reviews/TechCorp-Reviews-E12345.htm"}
).json()

# Extract G2 software reviews
g2_data = requests.post(
    f"{BASE}/api/ai-parser/g2",
    headers=headers,
    json={"url": "https://g2.com/products/techcorp/reviews"}
).json()

# Extract Amazon product data
product = requests.post(
    f"{BASE}/api/ai-parser/amazon",
    headers=headers,
    json={"url": "https://amazon.com/dp/B0XXXXXXX"}
).json()
cURL — Parse Any URL
# Parse any URL
curl -X POST "https://api.anysite.io/api/webparser/parse" \
  -H "access-token: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com/blog/post", "extract_links": true}'
cURL — Get Sitemap
# Get sitemap
curl -X POST "https://api.anysite.io/api/webparser/sitemap" \
  -H "access-token: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com"}'
Anysite CLI
# Parse any URL
anysite api /api/webparser/parse url="https://example.com/blog/post"

# Extract with links and images
anysite api /api/webparser/parse \
  url="https://example.com/pricing" \
  extract_links=true extract_images=true

# Get sitemap URLs
anysite api /api/webparser/sitemap url="https://example.com"

# Batch: parse multiple URLs
anysite api /api/webparser/parse --from-file urls.txt \
  --input-key url --parallel 5 --format csv

# AI parser
anysite api /api/ai-parser/glassdoor \
  url="https://glassdoor.com/Reviews/TechCorp-Reviews-E12345.htm"
Pipeline YAML — Site Crawl and Extract
name: site-crawler
sources:
  sitemap:
    endpoint: /api/webparser/sitemap
    input:
      url: "https://competitor.com"

  pages:
    endpoint: /api/webparser/parse
    depends_on: sitemap
    input:
      url: ${sitemap.url}
      extract_links: true
    parallel: 5
    on_error: skip

storage:
  format: parquet
  path: ./data/site-crawl

Use Cases

Competitor Website Monitoring

Problem

Tracking changes on competitor websites — pricing updates, new feature launches, messaging changes, new blog content — requires manually checking sites or building custom scrapers for each competitor.

Solution

Crawl competitor sitemaps to discover all pages. Extract content from key pages (pricing, features, about, blog). Run on a schedule and use the CLI's diff capability to highlight changes between runs.

Result

Automated competitive monitoring. Get alerts when competitors change their pricing page, launch new features, or shift their messaging. No custom scrapers to maintain.

Lead Enrichment from Company Websites

Problem

Your CRM has company URLs but you need structured data: what the company does, their product offerings, team size signals, technology indicators. Manually reading each company's website doesn't scale.

Solution

Parse company homepages, about pages, and product pages. Extract structured content, team descriptions, and technology mentions. Combine with LinkedIn company data for a complete picture.

Result

CRM records enriched with current website data. Know what each target company does, how they position themselves, and what technology they use.

Content Aggregation and Research

Problem

Researchers, analysts, and content teams need to read and synthesize information from dozens or hundreds of web sources. Manually visiting each source, copying text, and organizing it is tedious and error-prone.

Solution

Build a URL list of relevant sources (industry blogs, documentation sites, news articles). Batch-parse all pages. Store structured content for analysis, summarization, or knowledge base construction.

Result

A structured content library built from the web. Feed into LLM analysis for summarization, topic extraction, or trend identification.

Review Aggregation Across Platforms

Problem

Understanding public perception of a product means checking Glassdoor, G2, Trustpilot, Capterra, Amazon reviews, and more. Each platform has a different structure, and none provides a unified API.

Solution

Use the specialized AI parsers to extract reviews from each platform. Aggregate into a single dataset. Analyze sentiment, recurring themes, and rating distributions across sources.

Result

A unified review dashboard covering all major platforms. Compare sentiment across Glassdoor (employee), G2 (user), and Trustpilot (customer) to get the complete picture.

How Anysite Compares

Feature Anysite Firecrawl Jina Reader Apify ScrapingBee
Any URL parsing AI-powered extraction LLM-powered Markdown conversion Actor per site Proxy + render
Specialized parsers 16+ platforms None None 1,800+ actors None
Sitemap extraction Built-in endpoint Via crawl Not available Actor Not available
Output format Structured JSON Markdown/JSON Markdown Varies by actor HTML/JSON
Social platforms LinkedIn, Instagram, Twitter, Reddit, YouTube Not available Not available Separate actors each Not available
Pricing 1 credit/page ($0.003) $0.004/page $0.002/page $0.004+/page $0.005/page
Pipeline support YAML + batch CLI API only API only Actor scheduling API only
MCP integration Native None None None None

Endpoint Pricing

Pay only for the data you pull. Credits are shared across all Anysite endpoints.

Endpoint Credit Cost
Web parser (any URL) 1 credit
Sitemap extraction 1 credit
AI parsers (per URL) 1 credit

Cost Examples

Use Case Monthly Volume Credits Recommended Plan
Monitor 10 competitor pages (daily)~300 pages~300Starter ($49/mo)
Crawl 5 websites (weekly, 100 pages each)~2,000 pages~2,000Starter ($49/mo)
Review aggregation (100 URLs)100 pages100Starter ($49/mo)
Content research (500 articles)500 pages500Starter ($49/mo)
Full site audit (sitemap + all pages)sitemap + pages1 + page countStarter ($49/mo)

At 1 credit per page ($0.003 on the Starter plan), web parsing is extremely cost-efficient. Crawling and extracting an entire 1,000-page website costs approximately $3.30.

Frequently Asked Questions

Does it work on JavaScript-heavy websites?
The web parser handles JavaScript-rendered pages. Content that requires client-side rendering is processed before extraction.
What content does the parser extract?
The parser extracts the main content of the page: article text, headings, author information, publication date, metadata, and optionally links and images. It strips navigation, ads, footers, and other non-content elements.
Can I extract specific fields from a page?
The generic web parser extracts the page's main content structure. For platform-specific structured extraction (product prices, review ratings, etc.), use the specialized AI parsers for that platform.
How does the AI parser differ from the web parser?
The web parser extracts the page's text content and metadata from any URL. AI parsers are specialized for specific platforms (Amazon, Glassdoor, G2, etc.) and return structured fields specific to that platform (product price, review rating, company score, etc.).
Can I crawl an entire website?
Yes. Use the sitemap endpoint to discover all URLs on a site, then batch-parse them using the web parser endpoint. The CLI handles this as a two-step pipeline with parallel execution.
What about rate limiting and being blocked?
Anysite handles request management, rotation, and retry logic on its infrastructure. You make API calls; the platform handles delivery. For sites with aggressive anti-bot measures, results may vary.
Can I use this to build a search engine or knowledge base?
Yes. Extract content from your target URLs, store in a database or search index, and build search on top. The CLI's DuckDB integration supports SQL queries over extracted content.

Start Extracting Data from Any Website

7-day free trial with 1,000 credits. Any URL to structured JSON. Plus 16+ specialized parsers. No selectors, no maintenance.