πŸ€– AI Web Scraper β€” LLM Data Extraction avatar

πŸ€– AI Web Scraper β€” LLM Data Extraction

Pricing

from $25.00 / 1,000 page scrapeds

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πŸ€– AI Web Scraper β€” LLM Data Extraction

πŸ€– AI Web Scraper β€” LLM Data Extraction

Extract structured data from any web page using AI. Describe what you want β€” the LLM understands the page and returns clean JSON. No selectors, no code, no maintenance. The future of scraping. Pay per page.

Pricing

from $25.00 / 1,000 page scrapeds

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Stephan Corbeil

Stephan Corbeil

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πŸ€– AI Web Scraper β€” LLM-Powered Extraction vs Diffbot, Browse AI & ScrapingBee

Pay-per-result AI-driven web scraper β€” point it at any URL with a natural-language extraction prompt, and it returns structured JSON. No CSS selectors, no XPath, no schema mapping. Built for analysts, indie developers, and growth teams as a no-seat-license alternative to Diffbot ($299-899+/mo with Automatic Extraction API), Browse AI ($48.75-149+/mo), ScrapingBee ($49-249+/mo), Apify's own Web Scraper actor (requires JS knowledge), Octoparse ($75-249/mo), and ParseHub.

Why AI Web Scraper Beats Diffbot, Browse AI & ScrapingBee

FeatureNexGenData AI Web ScraperDiffbot AutomaticBrowse AIScrapingBee
Cost$0.01-0.05 / extraction (LLM cost included)$299-899+ / month$48.75-149+ / month$49-249+ / month
SetupNatural-language promptZero-config + paid templatesUI recorder (10-20 min per robot)Code (curl / SDK) + selectors
LLM-powered extractionYes β€” GPT-4o-classNo (CV + classical NLP)No (recorded actions)No (you provide selectors)
Schema-flexibilityPer-call, no setupPre-built APIs onlyPer-robot recordingYou define
Anti-bot / proxy rotationIncludedIncludedIncluded (limited)Included (paid tier)
Auth requiredApify tokenAccount + planAccount + planAccount + plan
Free trialFree Apify creditsLimited free50 credits free1000 free credits

Solo founders, growth teams, and analysts pick this actor instead of Diffbot or Browse AI because there is no robot-by-robot recording phase β€” you write a single sentence describing what you want and it just works for one-off and recurring extractions. It is a drop-in alternative to ScrapingBee when you don't want to maintain selectors as target sites change layouts.

What You Get Per Extraction

Each dataset item is a flat JSON record matching the schema you describe in your prompt:

  • Top level: any fields you ask for in the prompt (title, price, author, published_at, etc.)
  • _source_url, _extracted_at, _model_used, _extraction_cost_usd
  • _confidence_score β€” 0-1, LLM self-reported certainty
  • _raw_html_chunk β€” optional, the chunk fed to the LLM (for debugging)
  • For multi-record pages (lists / cards / tables): items β€” array, each conforming to your prompt schema

The LLM picks the right fields off any reasonably-structured page. Works on product pages, articles, profile pages, listing cards, comparison tables, FAQs β€” anything where a human could eyeball the structure.

Use Cases

  • Founders shipping a quick MVP β€” extract competitor pricing tables without writing a selector
  • Growth teams building one-off lead lists β€” point at a directory site, describe the field shape, done
  • Analysts running ad-hoc research β€” pull every "AI safety researcher" profile from a few directories without coding
  • Notion / Airtable users β€” pipe arbitrary pages into a structured table via Zapier + this actor
  • Newsletter operators β€” auto-summarize news pages with a single prompt
  • VC scouts β€” extract founder bios from accelerator class pages instantly
  • Replace one-off Python+BeautifulSoup scripts β€” say what you want, get JSON

Quick Start

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/ai-web-scraper").call(run_input={
"urls": ["https://example.com/products/123"],
"prompt": "Extract: product name, price, currency, in_stock boolean, average rating, total review count",
"model": "gpt-4o-mini"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Pricing

Pay-per-event β€” bring your own LLM key for unlimited scale, or use included.

  • Actor Start: $0.0001
  • Per extraction (default included LLM): $0.01-0.05 depending on page size and model
  • Bring-your-own OpenAI / Anthropic key: charged only Apify compute + your LLM provider's cost

500 product-page extractions cost $5-25. Diffbot's Automatic Extraction tier starts at $299/month.

Use caseActor
GitHub repos + stars + contributorsGitHub Scraper
Competitor price tracking on Amazon/Walmart/TargetCompetitor Price Monitor
SaaS pricing-page change trackerSaaS Pricing Tracker
Shopify storefront teardownShopify Store Analyzer
Company tech-stack detectorCompany Tech Stack Detector
B2B lead-list builderB2B Leads Finder
Website email extractorWebsite Email Extractor
Developer Tools MCP serverDeveloper Tools MCP Server

FAQ

Q: How is this different from Diffbot or Browse AI? Diffbot uses computer-vision + classical NLP and has a fixed set of APIs (article, product, image, etc.). Browse AI records UI actions per "robot" β€” typically 10-20 minutes per site. This actor uses an LLM at inference time, so a single English sentence handles any site shape.

Q: Which LLM does it use? Default is GPT-4o-mini for cost; switch to gpt-4o or claude-sonnet for harder pages. BYOK supported.

Q: What's the confidence score? The LLM emits its own self-reported certainty (0-1). Use it to flag low-confidence extractions for human review.

Q: Does it handle JavaScript-rendered pages? Yes β€” pages are rendered in headless Chromium before LLM extraction.

Q: What about pages with 100s of items (search results, catalogs)? Use items schema in your prompt β€” the LLM returns an array. The actor paginates automatically if you provide a pageParam.

Q: Schema stability across runs? Stable as long as your prompt is stable. The LLM follows your described schema deterministically (we set temperature=0).

About NexGenData

NexGenData publishes 260+ buyer-intent actors covering SEC filings, YC alumni, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, and more. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b


How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing β€” you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

  • Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
  • Result / item: charged per item written to the default dataset
  • No charge for retries, internal proxy rotation, or failed sub-requests β€” those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link β€” you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

  • Apify console β€” point-and-click run
  • Apify API β€” REST + webhooks
  • Apify Python / JS SDKs β€” programmatic batch
  • Zapier, Make.com, n8n β€” official integrations
  • MCP β€” many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
  • Schedules β€” built-in cron for daily / weekly / monthly runs
  • Webhooks β€” POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome β€” high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata