Neotask gives your business real-time web intelligence through Bright Data and Neotask - 68 actions for scraping, social media data, e-commerce monitoring, and browser automation.
Monitor competitor pricing, product listings, and market data from Amazon, Walmart, and dozens of other platforms automatically - intelligence that used to require a data team
Track brand mentions across LinkedIn, Instagram, TikTok, Reddit, and X through Neotask so your team always knows what's being said about you
Automate research workflows that require real web data - company intelligence, job market trends, review sentiment - all through conversation with compliant data collection
What You Can Do
With 68 actions, Bright Data through Neotask is the most comprehensive web data integration available. Every major data source and scraping method is covered.
Core Scraping (7 actions)
Search engines, URL scraping (markdown and HTML), batch scraping, structured extraction, and session statistics.
E-Commerce Data (13 actions)
Amazon products, reviews, and search. Walmart products and sellers. eBay, Home Depot, Zara, Etsy, Best Buy. Google Shopping. TikTok Shop.
LinkedIn Data (5 actions)
Person profiles, company profiles, job listings, posts, and people search - for recruiting, sales intelligence, and competitive research.
Social Media (15 actions)
Instagram profiles, posts, reels, comments. Facebook posts, marketplace listings, company reviews, events. TikTok profiles, posts, comments. X posts and profile posts. YouTube videos, profiles, comments. Reddit posts.
Business Intelligence (5 actions)
Crunchbase company data. ZoomInfo company profiles. Google Maps reviews. Zillow listings. Hotel listings.
AI Visibility (3 actions)
See what ChatGPT, Grok, and Perplexity say about your brand and competitors.
Browser Automation (14 actions)
Full browser control for complex scraping: navigate, click, type, scroll, fill forms, take screenshots, monitor network requests.
Every action runs autonomously or requires your approval - you decide.
Try Asking
"Scrape our top 5 competitors' pricing pages and compare their pricing structures"
"Get all Amazon reviews for ASIN B08N5WRWNW from the last 90 days"
"Search LinkedIn for VP of Engineering roles at Series B companies in New York"
"What is ChatGPT saying about our brand when users ask about our product category?"
"Monitor our Google Maps listing - what are customers saying in recent reviews?"
"Pull the Crunchbase profile for three of our target acquisition companies"
"Get our competitor's latest LinkedIn posts and summarize their messaging themes"
"Scrape the job postings page for our top competitor - I want to see where they're hiring"
Pro Tips
Schedule competitor pricing monitoring on a daily cadence - agents scrape pricing pages and alert you when significant changes occur.
Enable approval gates on browser automation actions - scraping_browser_fill_form and _click can have real-world consequences and warrant human review.
Connect Bright Data with Snowflake in an app group: scraped data flows directly into your warehouse for analysis, trend tracking, and reporting.
Use the AI visibility actions weekly to monitor how your brand appears in generative AI responses - this is the new SEO.
Multi-agent teams can run complete market research: one agent collects competitor data, another enriches it with LinkedIn intelligence, and a third drafts a competitive analysis report.
Multiple workspaces and capacity for larger teams.
Works Well With
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