Automatically Scrape Make.com Job Board with GPT-5-mini Summaries & Email Digest
Stay ahead of the competition by automating your lead discovery on the Make.com job board. This workflow intelligently scrapes new postings, uses advanced AI to summarize project requirements, and delivers a curated digest directly to your inbox. It’s the ultimate time-saver for freelancers and agencies looking to land their next automation gig without the manual search.
Run this with your team's AIWhat This Recipe Does
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.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
DaySchedule connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect DaySchedule once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Product managers monitor competitor pricing changes across multiple e-commerce sites to adjust retail strategies in real-time.
- Executive assistants automate the collection of daily industry news and regulatory updates to provide a morning briefing for leadership teams.
- Real estate professionals track new property listings on specific portals to ensure they are the first to contact potential clients or investors.
Frequently Asked Questions
Do I need to know how to write code to use this automation?
No. While the underlying workflow uses logic to parse data, the Runwork interface allows you to manage the automation as a simple application where you only need to provide the target website details.
Can I change the frequency of the data collection?
Yes. You can set the schedule to run daily, weekly, or even hourly depending on how frequently the source data changes.
What happens if the website structure changes?
The extraction logic can be updated easily within the application settings to ensure the automation continues to capture the correct information accurately.
Is it possible to send the data to a spreadsheet instead of an email?
While the standard version sends an email report, the automation can be customized to deliver data to various destinations like Google Sheets or your CRM.
Coming from n8n?
This recipe uses nodes like Langchain.outputParserStructured, Langchain.lmChatOpenRouter, HttpRequest, Html and 7 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork