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AI Web Extraction Agent
Automate web scraping and data extraction from any website with intelligent AI that adapts to dynamic content and delivers structured results.
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Give custom instructions to your agent, all in natural language.
Use-cases
Accelerate market research insights
Reduce competitor analysis time from weeks to hours by automatically extracting pricing, product details, and market trends from multiple sources, enabling faster strategic decisions and quicker responses to competitive changes.
Boost sales team productivity
Extract contact information, company details, and prospect data from websites to generate qualified leads more quickly, letting your sales team focus on closing deals instead of hunting for leads.
Eliminate manual data entry
Reduce time spent on repetitive data collection by up to 90%, automatically extracting and organizing website information into structured formats so teams can focus on high-value strategic work.
Stay ahead of competitors
Monitor competitor pricing, product launches, and marketing strategies continuously. Receive alerts on market changes to enable faster responses to competitive threats and opportunities.
Scale business intelligence operations
Process thousands of web data points simultaneously from multiple sources, consolidating scattered information into structured, actionable business insights to support enterprise-scale, data-driven decisions.
Learn more
Step 1
Define Targets
Identify product pages, map CSS or XPath selectors for price and specification fields, and define crawl rules including frequency and scope.
Step 2
Train Extractor
Document URL patterns and sample pages by category, recommend sampling 10–30 representative product pages per category; list required output fields and formats (price: numeric, currency: ISO 4217 code, specs: key-value pairs); record CSS/XPath examples and pagination/variant URL templates; flag pages requiring authentication or blocked by robots.txt; assign priority and crawl cadence for each target.
Step 3
Export Spreadsheet
Specify required fields: product identifier, price, currency, and key specifications. Define formats and validation rules for each field. Provide representative sample URLs per product type, document page variants and exclusions, and record crawl priorities.
Use Cases
1
Automate product price and spec collection
Eliminate manual copy‑paste. An AI web extractor captures product prices, specs, SKUs, and availability from category and product pages and exports structured data to Google Sheets, Airtable, or CSV on a schedule.
2
Always-on competitor and price monitoring
Track competitor prices, promotions, and stock status in real time alongside your product feed, generate comparison tables and alerts, and enable pricing and merchandising teams to act without manual checks.
3
Build clean lead lists from directories and profiles
Extract company names, job titles, websites, and public contact information from directories and listings; deduplicate and normalize fields, map records to CRM schemas, and export ready-to-use data via CSV or API.
4
Schedule crawls and monitor data quality
Collect prices, SKUs, availability and specs on a schedule: handle pagination, variants and JavaScript-rendered content; normalize currencies and SKU formats; maintain deduplicated price history for trend reporting; export structured feeds to Google Sheets, Airtable, or CSV and trigger alerts for price or stock changes.
5
Streamline content research and review mining
Collect headlines, feature matrices, FAQs, and product reviews from blogs and product pages. Tag, classify, and output structured records for competitive intelligence and trend analysis.
6
Reliable automation for dynamic websites Adapts to layout changes, JavaScript-rendered content, and dynamic elements. Includes scheduling, retries, deduplication, and schema mapping to maintain accurate, export-ready web scraping pipelines.
AI extractor adapts to layout changes, JavaScript-rendered content, and dynamic elements. Includes scheduling, retry logic, deduplication, and schema mapping to produce consistent, export-ready data.
FAQ
How does an AI Web Extraction Agent handle dynamic websites (JavaScript, pagination, infinite scroll) to extract product prices and specs into Google Sheets or CSV?
AI Web Extraction Agent detects DOM changes, paginated routes, and infinite scroll by rendering JavaScript or capturing network requests, then maps CSS/XPath selectors for price and spec extraction to deliver structured results. The agent handles complex navigation and infinite scroll through three core steps: Define Targets configures page URLs and extraction rules, Train Extractor identifies price/spec selectors and pagination patterns, and Export Spreadsheet normalizes data with scheduled exports to Google Sheets or CSV with automatic refresh capabilities.
Is an AI Web Extraction Agent legal and compliant with GDPR, robots.txt, and website Terms of Service for price scraping and data extraction?
AI Web Extraction Agent operates within legal boundaries by respecting robots.txt files, maintaining reasonable request intervals, and accessing only public data; compliance requires reviewing each target site's Terms of Service and avoiding personal data collection to meet GDPR requirements where applicable.
Can an AI Web Extraction Agent export structured product data (prices, specs, SKUs, availability) to Google Sheets, Airtable, or CSV on a schedule?
AI Web Extraction Agent normalizes and deduplicates product data, then schedules automated exports to CSV, Google Sheets, or APIs; spreadsheet pipelines and automated data export patterns are widely used for web scraping workflows. Export Spreadsheet delivers ready-to-use columns (product, price, currency, specs) with auto-refresh.
How does an AI Web Extraction Agent resolve multi-currency prices, normalize formats, and deduplicate SKUs across variants?
AI Web Extraction Agent parses currency symbols and locales, resolves currency per page, converts to a chosen base currency for analysis, and standardizes fields; currency conversion and normalization are common scraping post-processing steps. Train Extractor and Export Spreadsheet then dedupe by SKU/variant to prevent duplicates.
How does an AI Web Extraction Agent monitor competitor prices and stock status in real time and send change alerts?
Schedules continuous or periodic checks of competitor product pages, records price and stock changes, generates comparison tables, and sends configurable alerts to pricing and merchandising teams. Crawl cadence and alert thresholds are set in Define Targets; monitoring latency depends on site constraints, rate limits, and export cadence.
What use cases can an AI web extraction agent automate beyond product price and spec collection, such as jobs, events, directories, and review mining, and how does setup work?
AI Web Extraction Agent automates aggregation of listings (jobs, events, marketplaces), building lead lists from directories, extracting reviews and ratings for sentiment and frequency analysis, and structuring research content by normalizing fields and handling filters, pagination, and infinite scroll to produce consistent feeds. Setup: Define targets, pages, selectors, and extraction rules; train the extractor on item templates, pagination and infinite-scroll behavior, variants, and currency handling; export normalized fields, deduplicate by SKU or ID, and push to CSV or Google Sheets with scheduled refresh and incremental updates.
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