AI Web Scraping: workflows your whole team can run
Pulling data off the web on a schedule: monitoring, extraction, and aggregation.
28 recipes found
Scrape public email addresses from any website using Firecrawl
The Recap AI Email Scraper transforms the way businesses extract and process information from the web. Instead of manually copying and pasting data from websites into emails or reports, this automation handles the heavy lifting by programmatically visiting URLs and retrieving specific content. By bridging the gap between web data and your inbox, it ensures that your team stays informed about competitor updates, industry news, or market changes without spending hours on manual research. The system is designed to handle complex web requests, wait for page loads, and validate data before delivery, ensuring that the information you receive is accurate and actionable. This workflow eliminates the repetitive task of site monitoring, allowing your team to focus on strategic decision-making rather than data collection. Whether you are tracking product prices, monitoring news mentions, or gathering research for a weekly briefing, this automation provides a reliable, scalable solution for high-volume information gathering.
Generate business ideas from Reddit posts with DeepSeek AI and Google Sheets
The Reddit for Business Ideas automation transforms one of the world's largest discussion platforms into a continuous stream of market intelligence. Instead of manually scrolling through subreddits to find pain points or unmet needs, this workflow systematically monitors specific communities for high-potential business opportunities. It uses advanced filtering to separate genuine user frustrations and 'I wish this existed' requests from general chatter, ensuring you only spend time on validated concepts. By consolidating these insights into Google Sheets, the automation creates a structured database of market gaps, competitor weaknesses, and emerging trends. This allows entrepreneurs and product teams to move faster from research to execution, backed by real-world data and authentic customer sentiment. It eliminates the guesswork of product development by providing direct access to the problems people are already complaining about and willing to pay to solve.
Extract Amazon product data with Scrape.do, AI and Google Sheets
This automation transforms the complex process of web data collection into a streamlined, automated pipeline. By connecting Google Sheets with advanced web scraping capabilities, it allows businesses to extract specific information from a list of URLs without manual browsing or copy-pasting. The workflow processes your data in manageable batches, ensuring reliability and preventing system overloads even when dealing with large datasets. It captures raw HTML, parses the necessary components, and structures the output for immediate business use. This tool is essential for organizations that rely on up-to-date market intelligence, competitor monitoring, or lead enrichment. Instead of spending hours on manual research, your team can focus on analyzing the data and making informed strategic decisions. The integration ensures that your internal records stay synchronized with the latest information available on the web, providing a significant competitive advantage through data-driven insights.
Extract company data from websites with Gemini AI through chat conversation
Manual market research and lead qualification are significant bottlenecks for growing companies. This AI-driven automation transforms how your team gathers intelligence by automatically visiting websites, identifying key company information, and localizing that data for your specific market needs. Instead of spending hours copy-pasting details from various corporate websites, your team can simply input a URL and receive a structured report. The system intelligently navigates site structures, extracts core value propositions, service offerings, and contact details, and then processes that information through an AI engine to ensure it fits your internal database requirements. This tool is particularly valuable for international sales teams and market researchers who need to analyze competitors or prospects across different regions. By automating the data extraction and localization process, you eliminate human error and ensure your CRM or market analysis remains up-to-date with the most relevant information. This allows your strategic teams to focus on high-level decision-making rather than the tedious task of manual data collection and translation.
Automated job finder agent
The Automated Job Finder Agent streamlines the tedious process of manual job searching by transforming it into a fully autonomous workflow. Instead of spending hours scouring various boards and career pages, this automation proactively identifies new opportunities based on your specific criteria and centralizes them in a Google Sheet. By leveraging advanced scraping technology and scheduled triggers, the system ensures you are the first to know when a relevant role opens up, providing a significant competitive advantage in fast-moving markets. Business leaders and recruitment teams can use this tool to monitor industry talent trends or track competitor hiring patterns without manual intervention. The result is a clean, organized database of job leads that updates automatically, allowing you to focus on high-value tasks like networking and interviewing rather than data entry and repetitive searching.
Track freelance jobs from Apify and get instant WhatsApp alerts for new leads
Maintaining a competitive edge on Upwork requires speed and precision. The Upwork Job Alert automation transforms how you discover opportunities by monitoring the platform and delivering high-value leads directly to your mobile device. Instead of spending hours manually refreshing job boards, this system uses AI-driven logic to identify projects that match your specific criteria. Once a relevant job is detected, the automation logs the details into a Google Sheet for your records and sends an instant notification via WhatsApp. This ensures you are among the first to respond to new postings, significantly increasing your chances of winning contracts. By centralizing lead management and automating the notification cycle, your team can focus on crafting winning proposals rather than searching for work. This tool is essential for any service-based business looking to scale their client acquisition without increasing overhead or manual effort.
Extract and analyze Google AI overviews with LLM for SEO recommendations
This automation provides a competitive edge in the evolving search landscape by systematically capturing and analyzing Google AI Overviews. As search engines shift toward AI-generated summaries, businesses must understand how their brand and competitors are being presented. This tool automatically triggers searches, extracts the content within AI-generated snapshots, and uses Large Language Models to distill actionable SEO recommendations. Instead of manually tracking volatile search results, your team receives a structured report in Google Sheets that highlights content gaps, citation opportunities, and sentiment analysis. By identifying which sources Google prioritizes for its AI answers, you can adapt your content strategy to ensure your brand remains visible in the new era of generative search. This workflow eliminates hours of manual research and provides the data-driven insights needed to maintain organic traffic and search authority.
Analyze Amazon purchase trends with Bright Data, OpenAI and Google Sheets
The Analyze Purchase Trends automation transforms raw transaction data stored in Google Sheets into actionable business intelligence. By automating the analysis of historical purchase patterns, this tool enables businesses to identify high-performing product categories, peak buying periods, and shifts in customer behavior without manual data manipulation. Instead of spending hours in complex spreadsheets, managers receive a clear overview of sales velocity and customer preferences. This proactive approach to data allows for more accurate inventory forecasting, targeted marketing campaigns, and data-driven pricing strategies. By bridging the gap between raw data and strategic decision-making, this automation ensures that your business remains responsive to market demands and maximizes revenue opportunities based on actual consumer trends. It eliminates the risk of human error in calculation and provides a consistent framework for evaluating business performance over time.
E-commerce price monitor with Firecrawl, Claude-Sonnet AI & Telegram alerts
Maintaining a competitive edge requires constant awareness of market pricing, but manually tracking multiple websites is time-consuming and prone to error. This automation transforms your market research by automatically monitoring product prices across various e-commerce platforms and competitor sites. Using advanced AI via Perplexity and Claude-Sonnet, the system navigates web data to extract precise pricing information without requiring manual scraping rules for every site. The workflow centralizes all collected data into Google Sheets for historical tracking and trend analysis, ensuring you have a single source of truth for market intelligence. To ensure immediate action, the system sends instant alerts via Telegram whenever price updates are detected. This allows procurement teams, retailers, and analysts to react instantly to competitor price drops or market shifts, protecting margins and ensuring your pricing strategy remains optimized 24/7 without the overhead of manual monitoring.
Daily insight email from Structured Web Data with Firecrawl
Staying informed about market shifts, competitor pricing, or industry news often requires hours of manual browsing and data entry. This automation transforms the web into a personal research assistant by extracting precise, structured data from any website and delivering it directly to your inbox. Using Firecrawl technology, the workflow bypasses the complexity of traditional web scraping to provide clean, actionable information. The system runs on a predefined schedule, processes the gathered data, and sends a professional summary via Gmail. This ensures you never miss a critical update or a competitor's move while freeing your team from repetitive research tasks. By automating the transition from raw web content to structured insights, this tool empowers business leaders to make proactive decisions based on real-time data. Whether you are tracking product launches or monitoring regulatory changes, this automation provides a consistent stream of intelligence without requiring manual oversight or technical expertise.
Automate Instagram profile analysis with Airtop scraping and GPT-4o intelligence
Manual social media research is a significant bottleneck for marketing and sales teams. This automation eliminates the need for team members to manually visit and audit Instagram profiles one by one. By connecting your Google Sheets data directly to an AI-powered agent, you can automatically analyze Instagram accounts for specific criteria such as bio keywords, follower engagement indicators, or recent activity. The AI agent navigates the web with human-like precision, extracting relevant insights and feeding them back into your spreadsheet in real-time. This ensures your influencer databases and lead lists remain accurate and actionable without the burden of manual data entry. Businesses use this workflow to qualify leads, vet potential brand partners, and monitor competitor activity at scale. Instead of spending hours on repetitive browsing, your team can focus on high-level strategy and personalized outreach. The result is a streamlined research process, higher data integrity, and a significantly faster path from discovery to engagement. By converting this workflow into a Runwork app, you provide your team with a professional interface to manage social audits efficiently.
Generate business lists from Google Maps search to Sheets or Excel with Serper
Transform simple chat queries into comprehensive business lead lists by automatically scraping Google Maps data via Serper. This automation seamlessly populates Google Sheets and generates downloadable Excel files, eliminating the tedious task of manual data collection. It is a powerful solution for researchers and sales teams to turn local search results into organized, ready-to-use prospect databases instantly.
Scrape detailed GitHub profiles to Google Sheets using BrowserAct
The GitHub Data Enrichment Engine automates the tedious process of researching developers and technical contributors. Instead of manually visiting individual profiles to gauge activity levels or project involvement, this workflow systematically extracts key data points from GitHub and organizes them into a centralized dashboard. By integrating directly with Google Sheets, you can input a list of usernames and receive a comprehensive report on their recent contributions, language preferences, and public activity. The automation handles the heavy lifting of data processing, including batching requests to ensure stability and merging disparate data points into a clean, readable format. Once the enrichment is complete, the system sends real-time notifications via Slack, ensuring your team stays informed about high-value prospects or community members immediately. This tool is essential for teams looking to scale their developer outreach, talent scouting, or competitive analysis without increasing headcount. By transforming raw GitHub profiles into structured business intelligence, you save hours of manual research and ensure your outreach is always backed by the latest data.
Build lists of profiles from any platform using Airtop and Google Sheets
The List Builder automation transforms the tedious process of manual data collection into a streamlined, AI-driven operation. By leveraging Airtop's advanced web navigation capabilities, this workflow allows business users to extract specific information from across the web and organize it directly into Google Sheets. Instead of spending hours navigating websites and copy-pasting details, you can now trigger a comprehensive search that identifies leads, analyzes competitors, or gathers market intelligence automatically. This tool is designed to handle the heavy lifting of research, ensuring your team has access to high-quality, structured data without the overhead of manual entry. The integration of intelligent processing ensures that the information gathered is relevant and formatted exactly how you need it for your next campaign or report. By automating the transition from raw web data to a functional spreadsheet, you empower your team to focus on strategy and outreach rather than administrative data gathering, significantly increasing your operational velocity and accuracy.
Automate competitor research & intelligence with Browser Use Cloud AI and Slack
This automation transforms how your business interacts with the web by replacing manual browsing with intelligent AI agents. By integrating n8n with the Browser Use Cloud API, you can execute complex web tasks through a simple form interface. Instead of spending hours navigating websites to extract data or perform repetitive actions, you simply provide instructions, and the AI handles the rest. This solution is particularly valuable for teams that need to gather information from dynamic websites that traditional scraping tools fail to process. It acts as a digital assistant that can log into portals, compare pricing across competitors, or verify data accuracy across multiple sources. The primary benefit is the dramatic reduction in manual labor and the elimination of human error in data collection. By converting this workflow into a Runwork application, you provide your team with a powerful tool to automate web-based research and operations without requiring them to understand the underlying technical complexity. This ensures your data stays current and your team remains focused on high-level analysis rather than tedious navigation.
LinkedIn scraping, structuring and messaging using PhantomBuster and AI
Manual LinkedIn research is a significant bottleneck for growing sales and recruitment teams. This automation transforms how you collect professional intelligence by bridging the gap between raw web data and actionable business insights. By integrating PhantomBuster for reliable scraping and GPT-4 for intelligent data processing, this workflow automatically identifies, extracts, and categorizes key information from LinkedIn profiles on a schedule that suits your business needs. Instead of wasting hours on manual copy-pasting, your team can focus on high-value outreach and strategic decision-making. The automation handles the entire technical process: it triggers the scrape, waits for the data to process, uses advanced AI to structure unstructured text into clean data points, and populates your Google Sheets in real-time. Whether you are building a list of prospective hires or conducting deep-dive market research on competitors, this tool ensures your database is always accurate, comprehensive, and ready for use. It eliminates manual entry errors and provides a scalable way to enrich your CRM or lead tracking systems without increasing headcount.
Automatically Scrape Make.com Job Board with GPT-5-mini Summaries & Email Digest
This automated intelligence gathering system eliminates the manual effort required to monitor websites for critical updates. By leveraging scheduled triggers and web parsing technology, the workflow systematically visits target URLs, extracts specific data points, and processes the information to provide clear, actionable insights. Instead of spending hours each week manually checking competitor sites or industry news portals, your team receives a curated summary directly in their inbox. This ensures that no market shift or pricing change goes unnoticed, allowing for faster decision-making and a more proactive business strategy. The system is designed to handle complex data extraction and filtering, ensuring that you only receive the information that truly matters to your operations. By automating the data collection cycle, you free up valuable resources to focus on analysis and execution rather than tedious administrative tasks. Whether you are tracking market trends, monitoring inventory levels, or keeping an eye on public announcements, this solution provides a reliable, hands-off approach to digital surveillance.
Track certification requirement changes with ScrapeGraphAI, GitHub and email
Manually monitoring job boards and developer repositories for new career opportunities is a time-consuming process that often leads to missed openings. This Job Posting Aggregator automation streamlines your talent acquisition or job search by automatically pulling the latest listings from GitHub and delivering them straight to your inbox. By centralizing data from high-quality technical sources, you eliminate the need to navigate multiple sites daily. The system processes raw data into a clean, readable format, ensuring you only spend time reviewing relevant roles. Whether you are a hiring manager looking for specific skill sets or a professional seeking your next challenge, this automation provides a competitive edge by ensuring you are the first to know when a new position opens. It transforms a manual research task into a passive, reliable stream of information, allowing you to focus on outreach and applications rather than data collection and entry.
Scrape business leads from Google Maps using OpenAI and Google Sheets
The Google Maps Prospecting automation transforms how your sales and marketing teams identify local business opportunities. By bridging the gap between a simple chat interface and the world's most comprehensive location database, this tool eliminates hours of manual data entry and web scraping. Users can simply describe the types of businesses they are looking for in a specific geographic area, and the automation handles the heavy lifting. It identifies relevant companies, extracts vital details, and aggregates the information into a clean, structured format. This automation is particularly valuable for organizations that rely on localized outreach. Instead of your team spending their mornings copy-pasting addresses and phone numbers into a spreadsheet, they can start their day with a pre-populated list of qualified leads. The data is automatically funneled into Google Sheets, making it immediately available for CRM import or direct outreach campaigns. By automating the discovery phase of your sales cycle, you increase your team's efficiency and ensure your pipeline is always full of fresh, accurate local data.
Track stock prices with ScrapeGraphAI, Yahoo Finance & Google Sheets
The Stock data automation transforms your Google Sheets into a high-performance inventory and asset monitoring system. By automating the retrieval and processing of stock information, this workflow eliminates the need for manual data entry and constant spreadsheet updates. It allows businesses to maintain real-time visibility over their inventory levels, portfolio values, or supply chain metrics without human intervention. The system operates on a scheduled trigger, ensuring that your records are consistently refreshed and accurate. This reliability enables better decision-making, as stakeholders can trust that the data they are viewing reflects the most current state of the business. By centralizing data processing within a single automated flow, you reduce the risk of human error and free up valuable time for your team to focus on strategic analysis rather than administrative upkeep.
Scrape every URL on the web without getting blocked by Anti-Bot technologies with Scrappey
This automated web scraping solution transforms the way your business gathers market intelligence by systematically extracting data from targeted websites on a schedule that suits your needs. Instead of manually browsing and copying information, this automation uses high-performance HTTP requests to pull the latest pricing, product details, or competitor updates directly into your workflow. By removing the manual labor associated with data collection, your team can pivot from gathering information to analyzing it. This ensures your business remains agile, making decisions based on real-time data rather than outdated reports. Whether you are monitoring market trends or tracking inventory changes across the web, this automation provides a consistent, reliable stream of information that feeds directly into your business processes, improving accuracy and significantly reducing operational overhead.
Collect and label images and send to Google Sheets
This automation bridges the gap between raw web data and actionable business insights by combining intelligent web scraping with advanced image recognition. By utilizing AWS Rekognition, the workflow automatically analyzes images retrieved from the web, identifies key visual elements, and logs the findings directly into Google Sheets. Businesses no longer need to manually browse websites to track visual trends or catalog product information. This tool streamlines the process of gathering competitive intelligence, monitoring brand presence, and auditing digital assets. Instead of spending hours on manual data entry, your team can focus on analyzing the results and making informed strategic decisions. The integration ensures that every piece of data is structured, searchable, and stored in a central location, providing a real-time overview of visual data across the web. Whether you are tracking product launches or monitoring social media imagery, this automation provides a scalable solution for high-volume data collection and analysis without the need for manual intervention.
Blockchain monitor with ScrapeGraphAI risk detection, instant alerts and Slack
This AI-powered web scraping automation transforms how your business gathers and processes online information. Instead of assigning team members to manually monitor websites and copy data into spreadsheets, this application automates the entire lifecycle of data extraction. The workflow receives a trigger, navigates to the target source, and uses intelligent logic to identify and extract the most relevant data points. By incorporating conditional filtering, the system ensures that only high-priority information is processed, preventing information overload. The final results are delivered instantly to your Slack workspace, keeping your team informed in real-time. This tool is essential for businesses that rely on timely market data but want to eliminate the manual labor associated with research. By streamlining the flow of information from the web to your internal communication channels, you empower your team to make faster, data-driven decisions without the overhead of manual data entry or complex technical setups. It turns the vast landscape of the internet into a structured feed of actionable business intelligence.
Automated local business lead generation with Google Maps & GPT-4
The Google Maps Scraper automation transforms a manual, time-consuming research task into a streamlined lead generation engine. By programmatically extracting business data directly from Google Maps, your team can instantly build targeted prospect lists without the need for manual data entry or expensive third-party databases. This workflow handles the heavy lifting of navigating search results, filtering out duplicates, and organizing essential information such as business names, contact details, and locations into a structured format. For sales and marketing teams, this means more time spent on high-value outreach and less time on administrative data collection. The automation is designed to respect rate limits and ensure data integrity, providing a reliable way to scale your local market research and competitive analysis efforts. By turning geographical search queries into actionable business intelligence, you can identify new opportunities and expand your market reach with precision and speed.
Automated job market tracker: Upwork scraper to Google Sheets workflow
Managing high-volume lead generation on Upwork requires speed and organization, yet manually scanning feeds is a time-consuming bottleneck. This automation transforms your business development process by automatically capturing new job postings and centralizing them in Google Sheets. By eliminating the need to refresh browser tabs, your team can focus on crafting winning proposals rather than searching for opportunities. The workflow runs on a scheduled trigger, ensuring you are among the first to see relevant leads as they appear. This systematic approach prevents high-value projects from slipping through the cracks and creates a historical database of market trends and client demands. With all data structured in a spreadsheet, you can easily filter by budget, job type, or client history to prioritize your outreach efforts. Ultimately, this tool scales your agency or freelance operation by creating a consistent, automated pipeline of potential revenue without increasing your administrative overhead.
Automated product price tracking with ScrapeGraphAI, Slack alerts and Jira tickets
Maintaining a competitive edge in today's fast-paced e-commerce environment requires constant vigilance over market pricing. This Product Price Monitor automation eliminates the manual burden of tracking competitor price shifts and inventory changes. By systematically gathering pricing data and storing it in a centralized database, your team gains a historical perspective on market trends without lifting a finger. The system does not just collect data; it actively protects your margins. When a price change is detected that requires attention, the automation instantly notifies your team through Slack or creates a task in Jira, ensuring that your pricing strategy remains agile and responsive. This workflow bridges the gap between raw web data and actionable business intelligence. Instead of reacting to market changes days later, your team can adjust strategies in real-time, optimize promotional spend, and ensure your products are always positioned correctly. By automating the monitoring process, you free up your staff to focus on high-level strategy and customer engagement rather than tedious data entry and manual website checks. It is an essential tool for any retail or distribution business looking to scale their market intelligence operations efficiently.
Fetch all page content from website and store with Gemini embedding in Pinecone
Manual data collection is a significant bottleneck for modern businesses. This AI Web Scraping automation transforms how your organization gathers information from the internet by replacing hours of manual research with a streamlined, automated process. By using a simple form-based interface, users can trigger deep web searches and data extraction without ever touching a line of code. The automation navigates complex website structures, retrieves specific data points, and processes the information through sophisticated cleaning and deduplication logic. This ensures that the final output is accurate, organized, and ready for immediate business use. The system is designed to handle large-scale data collection by processing requests in batches and managing wait times, which prevents errors and ensures reliable performance. Whether you are building a database of potential sales leads, monitoring competitor pricing strategies, or gathering industry insights, this automation provides a scalable solution. By converting this workflow into a Runwork application, you empower your team to focus on strategic analysis and decision-making rather than the tedious mechanics of data entry and web navigation.
Web scraper: extract website content from sitemaps to Google Drive
The Simple Working Scraper automation transforms the complex task of web data extraction into a streamlined, hands-off process. Instead of manually copying and pasting information from websites, this tool programmatically visits URLs, extracts the relevant content, and organizes it into structured data. By automating the data collection phase, businesses can gather market intelligence, monitor competitor pricing, or aggregate industry news at a scale that is impossible to achieve manually. The workflow handles the technical heavy lifting—navigating site structures, parsing XML and HTML, and managing data batches—ensuring that your information is gathered efficiently without overloading source servers. All extracted data is automatically formatted and saved directly to Google Drive, providing your team with a centralized repository of fresh, actionable information. This automation eliminates human error in data entry and frees up your staff to focus on analyzing the data rather than simply collecting it, ultimately accelerating decision-making cycles and improving operational agility.
Why Runwork for AI Web Scraping
Anyone on the team can use it
You get forms and dashboards people can open, not workflow logic buried in a tool one person knows.
Your own agent adapts it
Claude, ChatGPT, Cursor, whichever your team already uses. Tell it what is different about your process.
It keeps running
It lives in your team cloud and runs on schedule, so it does not stop the moment someone closes a laptop.
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