Automatically scrape Make.com job postings, generate GPT-5-mini summaries, and deliver a daily formatted email digest to your inbox.
The AI agent runs on a schedule to collect postings from the Make.com forum. It filters for posts from the last 7 days and identifies relevant opportunities. It compiles concise summaries and sends a neatly formatted HTML email digest with direct links to each posting.
Performs end-to-end scraping, interpretation, and delivery to support lead generation.
Schedule scraping of the Make.com job board on a daily cadence
Extract post metadata (title, date, author, thread link) from each posting
Filter to postings from the last 7 days or a configurable window
Analyze each posting with GPT-5-mini to identify project type, requirements, and timeline
Generate an HTML email digest with structured summaries and direct links
Deliver the digest to the configured inbox via SMTP
Before → 5 real pain points: 1) Wasting hours scrolling the forum for new postings. 2) Missing timely opportunities due to irregular checks. 3) Inconsistent summaries requiring manual interpretation. 4) Fragmented information across emails and links. 5) Slow outreach when opportunities arise. After → 5 clear outcomes: 1) A daily, centralized digest with all new postings. 2) Timely awareness of opportunities. 3) Consistent, AI-generated summaries of client needs. 4) One formatted email with direct links. 5) Faster outreach and quicker responses.
A simple 3-step flow that non-technical users can follow.
The AI agent fetches the Make.com job board on a configured schedule and stores postings locally.
Extracts title, date, author, and links; filters to postings within the last 7 days.
GPT-5-mini analyzes each posting and compiles a formatted HTML email, then sends it via SMTP.
One realistic scenario showing setup, run, and outcome.
Scenario: A freelancing consultant wants a daily digest of Make.com job postings. Setup takes about 10 minutes. Result: a daily email at 8 AM with 6–9 concise postings, each with a summary, project type, requirements, and a direct link; you can quickly decide which postings to pursue.
Roles that can leverage automatic Make.com job insights.
Want daily Make.com postings without manual forum browsing.
Need rapid visibility into new client opportunities.
Keep sales teams informed about potential Make.com projects.
Track contract roles requiring Make.com skills.
Prioritize outreach to new Make.com postings.
Monitor opportunities across multiple clients in one digest.
Key tools used inside the AI agent to collect data and deliver results.
Runs AI models to summarize postings and extract fields; powers the GPT-5-mini analysis.
Sends the HTML email digest to the recipient(s).
Fetches and parses data from the Make.com job board to extract titles, dates, authors, and links.
Concrete scenarios where the AI agent adds value.
Common questions about setup, scope, and operation.
Yes. The digest can be configured to include a specified number of postings per run. You can also adjust the date window and keywords to tailor what gets summarized. The AI agent will only include posts that meet the configured criteria, ensuring the digest stays focused. If needed, you can re-run a batch for a broader or narrower selection. This keeps the digest concise while preserving relevance.
Absolutely. The date filter is configurable within the AI agent settings. You can extend or shorten the window to match your lead-generation cadence. This allows you to catch both recent and near-term postings as your workflow requires. Changes apply to subsequent digests automatically without code edits. You can test different windows to optimize response rates.
The agent uses your SMTP configuration to send from a verified sender address. You can specify a primary recipient and add CCs as needed. Ensure your SMTP account permits programmatic sending to avoid delivery issues. If you need multiple domains, you can configure additional sending identities. Delivery success depends on SMTP authentication and network access.
Yes. The delivery method is configurable. You can route the digest to a Slack webhook, a Discord channel, or email only. Each channel receives the same structured summaries, preserving readability and links to postings. Channel-specific formatting can be applied to optimize readability in each destination. This helps teams stay aligned in their preferred collaboration tool.
Currently configured for the Make.com job board, but the architecture supports adding additional sources with minimal changes. Each source can have its own schedule, filters, and prompts. You can consolidate results into a single digest or keep separate digests per source. Adding a new source typically requires updating the data extraction logic and mapping fields to the digest.
Postings are summarized in a non-identifying way with project type and requirements highlighted while preserving privacy. If a posting contains sensitive details, you can configure the summarization prompts to redact or minimize sensitive fields. You can also disable automatic sharing of certain fields. Regular reviews of the digest help ensure compliance with client data policies.
Start with a dry run using a small, controlled subset of postings. Validate that the extraction fields, prompts, and digest formatting meet your expectations. Confirm that the SMTP connection works and that emails arrive in the intended inbox. Adjust filters and prompts based on test results, then schedule the live run. A test run helps prevent misformatted digests or missed postings in production.
Automatically scrape Make.com job postings, generate GPT-5-mini summaries, and deliver a daily formatted email digest to your inbox.
