Google Alerts Automation + AI in Make.com

Hello.

I am ready to implement automation in Make:
Google Alerts from Gmail → extraction of links → obtaining the full text of articles → processing through Claude API → creating a weekly digest in Hebrew.

What will be set up:
• Reading Google Alerts emails
• Processing redirect links
• Clicking on links and obtaining the full text
… • Cleaning from unnecessary markup
• Sending text to Claude API
• Creating a structured professional digest
• Automatic sending of the finished report

Additionally:
• protection against duplicates
• error handling
• logging
• optimization of API costs

If necessary, an archive can be added in Google Sheets or automatic mailing to clients.

Implementation through Make. If needed, an option through n8n is possible.

I am ready to discuss the details of the digest structure and the format of the final result.

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Hello!

I will implement this automation in Make.com turnkey:

— Gmail → parsing emails from Google Alerts and redirect links
— Automatic extraction of the full text of articles
— Generation of a weekly digest via Claude API in Hebrew
— Sending to a convenient channel (email / Google Doc / Telegram)

… Before starting, I will clarify a few details to make it exactly according to your needs.

Deadline: 3-5 days
I am ready to start immediately after the discussion.

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Good day, Adi.

The key task is to build a reliable pipeline for processing incoming data and generating reports in Hebrew. The main technical challenge is the correct handling of redirect links and cleaning HTML content before sending it to the model.

I will use Make.com for orchestration: HTTP requests for scraping, filtering JSON structures, and integration with Claude. I will set up prompts to highlight key insights specifically for the real estate market.

Such a solution guarantees stable material generation without manual intervention. We need to discuss the details of the output format and the frequency of updates.

Here is an example: https://freelancehunt.com/showcase/work/autoga-avtomatizovaniy-daydzhest-novin/2019877.html

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Hello, Adi

I understood everything from the provided introductory text description and data flow.
I suggest we get in touch and discuss the details of implementation in practice.

Write to me, Paul

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Good day.

I have experience working with Make.com and have implemented similar automation.
I would be happy to help you bring your idea to life.
Please write to me in private messages to discuss the details.

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Hi,
This is a very clear and well-structured automation workflow — I understand exactly what you need.

Here’s how I would approach it:
I’ll build a Python-based pipeline that monitors emails from googlealerts, parses the structured HTML/JSON content, extracts article titles and redirect links, resolves them to original URLs, and fetches the full readable article text.

Each article will be cleaned and normalized before being stored in PostgreSQL.

On a weekly schedule, the system will aggregate all collected articles and send the full content to the Claude API with a carefully engineered Hebrew prompt to generate a professional real-estate digest tailored for brokers and clients. The output will be structured, insightful, and formatted as a ready-to-send HTML email.
…
The system will be:
- Fully automated
- Modular and scalable
- Dockerized for clean deployment
- Easy to extend (analytics, filtering, source ranking, etc.)

I’ve worked with AI APIs, structured parsing, embeddings, and automation pipelines, so this fits very well with my experience.

If you’d like, I can also outline a development timeline and milestones.

Looking forward to discussing this further.

Hello! I specialize in complex automations in Make.com and working with API of neural networks. The task is absolutely clear.
How I will build the architecture of the scenario:
Email parsing: I will read JSON from Gmail. Using the Text Parser module (Regex), I will extract clean URLs of articles, clearing them from google.com/url?q= redirects.
Scraping (Text extraction): Using a basic HTTP module here is risky (sites block bots). I will set up reliable parsing through API (for example, ScrapingBee or specialized modules) to extract only articles, ignoring ads and menus.
Claude API: I will pass the collected array of text to Claude 3.5 Sonnet (it holds context best and works with Hebrew). I will write a strict System Prompt so that the neural network produces a structured digest in the correct RTL format (right to left), using real estate market terminology.
Fault tolerance: I will add error handlers (Error Handlers/Break) in Make.com so that the scenario does not fail if one of the links turns out to be broken.
I am ready to start assembling the scenario today. Let's call or message to agree on the output format of the digest!

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Hello, Adi!
Your task requires a reliable technical approach, as standard automation services (like Make.com) often struggle with dynamic redirects from Google Alerts and blocks on news sites.
I propose a professional solution in Python that will work stably:
Effective Scraping: Instead of simple HTTP requests, I use technologies that simulate the actions of a real user. This ensures the extraction of the full text of the article even from sites with bot protection.
Clean Google Alerts Logic: I will implement an algorithm that instantly cleans links from Google redirects and extracts direct URLs without errors.
Claude API & Hebrew RTL: I will configure Claude to create professional analytics. Special attention will be paid to the correct formatting of Hebrew (RTL) so that the digest looks perfect for brokers.
Autonomy and savings: The project will be packaged in Docker and will run on your or my server. You will not pay a subscription fee for each step of automation, as with Make.
I am ready to discuss the final step: where exactly Claude should send the finished result (Email, Telegram, or Google Docs)?
I have experience with AI integrations and complex scraping. I am ready to demonstrate a prototype of the link cleaning today.
… Best regards, Pavlo

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Hello! I specialize in creating automations using the service make.com and I am ready to create a system that will generate a quality digest for clients and real estate brokers using Claude. Let's discuss the details and get started.

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Hello!
I can set up such automation in Make. The scenario will catch emails from Google Alerts based on a filter, then use Regex to extract the hidden JSON code from them and clean the links from redirects. Then an HTTP request for each link will download the full text of the articles, and Claude will combine them into one professional digest in Hebrew for your clients and brokers.

If relevant — feel free to reach out!

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Good day. I am Top Rated on Upwork. I have completed more complex projects. I need to clarify the conclusion of the task. We received the digest. How is it further distributed to the audience? Is an analysis of the audience's reaction needed or just the sending? Is a CRM needed to account for all of this?

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Good day! I can fully implement this automation in Make.com.
Scenario: Gmail Watch → parsing redirect links from JSON → HTTP module to get the article text → Claude API for generating the digest → sending the result.
I will do it in 3-4 days. Please clarify — should the digest be sent to email or in Telegram? And how often should the scenario run?
GitHub: https://github.com/Evge14n

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Ready to implement this pipeline in Make.com, I have experience with Google Alerts, scraping, and Hebrew (RTL). I already understand the technical logic: how to bypass Google redirects, extract clean text from articles without junk, and set up the Claude API for a professional digest.

Why choose me:

Start today: I am available and can immediately begin setting up your script.

Working with Hebrew: I will configure the prompts so that Claude produces the perfect structure and correct formatting for your audience.

Reliability: I will handle everything "turnkey" — from receiving the email to the finished report.
…
We can discuss the details and final price in private messages. Message me, and I will take a look at your current emails and suggest the best implementation option.

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Hello! Your project looks very interesting. I am ready to start working immediately and ensure high quality.

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I can implement automation in Make.com: reading Google Alerts from Gmail, extracting links, obtaining the full text of articles, and sending it to the Claude API for generating a weekly digest in Hebrew. I have experience with AI integrations and process automation in Make.com.

Deadline 1–2 weeks. After launch, I can assist with improvements and support.

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