Any Website. Structured Data. One API Call.

Point at any URL, get clean structured JSON back. AI-powered extraction. Plus 16+ specialized parsers.

Works on any public URL AI-powered extraction 16+ specialized parsers Sitemap extraction Same API key as all sources

Custom Scrapers Are Expensive to Build and Maintain

The economics of web scraping are upside down. Building a scraper for one website takes a few days. Keeping it working takes forever. CSS selectors break when sites redesign. Anti-bot measures evolve. Rate limits tighten. What started as a quick script becomes a permanent maintenance burden.

At scale, the problem compounds. A team scraping 20 websites maintains 20 separate extraction configurations, each with its own failure modes and update cycles. The engineering cost of keeping scrapers alive often exceeds the value of the data they produce.

This is the wrong abstraction. Websites aren't stable targets. They change constantly. The extraction layer needs to adapt automatically, not break and wait for a human to fix it.

Two Approaches, One API

The Universal Parser

POST /api/webparser/parse

Works on any URL. The AI extraction engine identifies the main content, strips navigation and ads, and returns structured text with metadata. No configuration needed.

CLI Examples
# Parse any URL
anysite api /api/webparser/parse url="https://example.com/blog/post"

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

Returns: Title, main content, author, publication date, meta description, links, images, word count.

Cost: 1 credit per URL

Specialized AI Parsers (16+ platforms)

For platforms with complex structures (e-commerce, review sites, code repos), specialized parsers return platform-specific structured fields.

Parser Platform Structured Fields
/api/ai-parser/amazonAmazonProduct name, price, ratings, reviews, features, ASIN
/api/ai-parser/glassdoorGlassdoorCompany reviews, ratings, salaries, interview experiences
/api/ai-parser/g2G2Software reviews, ratings, pros/cons, alternatives
/api/ai-parser/trustpilotTrustpilotBusiness reviews, scores, response rates
/api/ai-parser/capterraCapterraSoftware reviews, pricing, features
/api/ai-parser/producthuntProduct HuntProduct launches, upvotes, maker info
/api/ai-parser/crunchbaseCrunchbaseCompany data, funding rounds, investors
/api/ai-parser/angellistAngelListStartup jobs, company profiles
/api/ai-parser/githubGitHubRepos, READMEs, issues, pull requests, stars
/api/ai-parser/hackernewsHacker NewsStories, comments, scores
/api/ai-parser/pinterestPinterestPins, boards, profile data
/api/ai-parser/builtwithBuiltWithTechnology stacks, tech usage
/api/ai-parser/applyboardApplyBoardEducational programs
/api/ai-parser/wikileaksWikiLeaksDocument data
/api/ai-parser/trustmrrTrustMRRMRR data
More added continuously
Cost: 1 credit per URL

Sitemap Discovery

POST /api/webparser/sitemap

Get every URL on a website. Pass a domain, get the sitemap. Use the URL list to batch-parse all pages.

anysite api /api/webparser/sitemap url="https://example.com"
Cost: 1 credit

Common Workflows

Competitor Website Monitoring

Crawl competitor sites weekly. Track pricing changes, new feature pages, messaging shifts, and blog content.

Pipeline YAML
name: competitor-crawl
sources:
  sitemaps:
    endpoint: /api/webparser/sitemap
    input:
      url: ${file:competitor_domains.txt}
    parallel: 3

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

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

Multi-Platform Review Aggregation

Combine reviews from Glassdoor (employee), G2 (user), Trustpilot (customer), and Amazon (buyer) into a unified sentiment view.

Python
platforms = {
    "glassdoor": "https://glassdoor.com/Reviews/TechCorp-Reviews-E12345.htm",
    "g2": "https://g2.com/products/techcorp/reviews",
    "trustpilot": "https://trustpilot.com/review/techcorp.com"
}

reviews = {}
for platform, url in platforms.items():
    reviews[platform] = api.post(f"/api/ai-parser/{platform}", {"url": url})

# Unified review analysis
for platform, data in reviews.items():
    print(f"{platform}: {data['rating']}/5 ({data['review_count']} reviews)")

Lead Enrichment

Parse company homepages and about pages to understand what each target company does, their product offerings, and technology signals.

Content Research

Build structured knowledge bases from web content. Extract articles, documentation, and research papers. Feed into search indexes or LLM analysis.

Tech Stack Detection

Use the BuiltWith parser to identify technologies used by target companies. Map technology adoption across an industry segment.

How Anysite Compares

Feature Anysite Firecrawl Jina Reader ScrapingBee Apify
Universal parsing AI-powered, structured JSON LLM-powered, markdown Markdown conversion Proxy + render, raw HTML Varies by actor
Specialized parsers 16+ platforms built-in None None None 1,800+ separate actors
Sitemaps Built-in endpoint Crawl mode Not available Not available Actor-specific
Social platforms LinkedIn, Instagram, Twitter, Reddit, YouTube None None None Separate actors each
Output Structured JSON Markdown / JSON Markdown HTML / JSON Varies
Per-page cost $0.003 $0.004 $0.002 $0.005 $0.004+
Pipeline support YAML + batch CLI API only API only API only Actor scheduling

The Bigger Picture

The web parser is the foundation of Anysite's core promise: the entire web is your database.

The platform-specific endpoints (LinkedIn, Instagram, Twitter, etc.) are optimized versions of this capability. They provide deeper, more structured data from platforms that matter most.

The web parser covers everything else. Any URL you can visit in a browser, you can parse through the API.

Combined, they mean you're never limited to a catalog. If a platform has a dedicated endpoint, use it for the best results. If it doesn't, the web parser and AI parsers handle it.

Dedicated endpoints (best coverage):
  LinkedIn, Instagram, Twitter, Reddit, YouTube, SEC, Google, YC

AI parsers (structured extraction):
  Amazon, Glassdoor, G2, GitHub, Trustpilot, Crunchbase, + more

Universal parser (everything else):
  Any URL → structured JSON

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
AI parsers (any platform) 1 credit
Sitemap extraction 1 credit

Cost Examples

Use Case Monthly Volume Credits Cost (Starter)
Monitor 10 competitor sites (weekly)~400 pages400$1.31
Multi-platform review aggregation~100 URLs100$0.33
Full site crawl + extract1,000 pages1,001$3.27
Content research (500 articles)500 pages500$1.63

At $0.003 per page (Starter plan), crawling a 1,000-page website costs $3.30.

Frequently Asked Questions

Does it work on JavaScript-rendered pages?
Yes. The parser processes JavaScript-rendered content before extraction.
What's the difference between the web parser and AI parsers?
The web parser extracts main content and metadata from any URL. AI parsers are specialized for specific platforms and return structured fields unique to that platform (product prices, review ratings, company funding, etc.).
Can I crawl an entire website?
Yes. Use the sitemap endpoint to discover all URLs, then batch-parse them with the web parser. The CLI handles this as a pipeline with parallel execution.
What about sites that block scrapers?
Anysite handles request management on its infrastructure. For sites with aggressive anti-bot measures, results may vary.

Start Extracting Data from Any Website

7-day free trial with 1,000 credits. Any URL to structured JSON. 16+ AI parsers. Sitemaps. No selectors to maintain.