Data Extraction Automation Workflows | Neura Market
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    Data Extraction Workflows

    AI data extraction and parsing

    • BrowserAct Flipboard News Scraper & Google Sheets Sync

      This template provides a fully automated workflow for collecting news from Flipboard and saving it into Google Sheets. The process starts with BrowserAct, which opens the Flipboard page, scrolls through the content, and extracts each article’s title, summary, reference link, and image. The raw output is then parsed through a JSON module to convert the data into a clean, structured format. Next, the workflow creates a new sheet named with the completion timestamp, ensuring each run is organized and easy to track. All extracted articles are added into Google Sheets, with each row containing the full set of article details. Finally, the workflow sends a Slack message to confirm that the job has finished successfully. This helps you monitor automation runs without checking Make manually. This template is designed for non-technical users and requires no coding. Once configured, it can run on demand or be scheduled to fetch new Flipboard content automatically.

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    • BrowserAct YouTube Channel Analyzer

      This template provides a fully automated YouTube Channel Optimization workflow. Simply enter any YouTube channel link, and the system will run a complete end-to-end analysis. How it works: BrowserAct Simulation BrowserAct visits the channel like a real user, expands descriptions, opens the Videos tab, and enters each video page. It collects channel info, thumbnails, video details, and user comments. Data Processing with Gemini All extracted JSON data is sent to Gemini with a strict system prompt. Gemini analyzes patterns across videos and comments, identifies recurring problems, highlights strengths, and generates clear, actionable recommendations. Structured Output to Google Sheets The final insights are converted into a clean JSON array, split into individual rows, and written into Google Sheets. Each row includes: Problem title Detailed analysis Suggested improvements What you get: A ready-to-use optimization report that helps you understand your channel’s weaknesses, viewer feedback trends, and specific steps to improve engagement and content performance.

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  1. Extract completed documents from PandaDoc using Koncile OCR

    A ready-to-use Make workflow that connects Pandadoc, Koncile-advanced-ocr. Extract completed documents from PandaDoc using Koncile OCR. Customize and deploy in minutes.

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  2. Extract data from Gmail attachments with Koncile OCR

    A ready-to-use Make workflow that connects Google-email, Koncile-advanced-ocr. Extract data from Gmail attachments with Koncile OCR. Customize and deploy in minutes.

    MakeFree
  3. Automate Data Extraction with PDF.co

    A ready-to-use Make workflow that connects Google-drive, Pdf-co, Google-sheets. Automate Data Extraction with PDF.co. Customize and deploy in minutes.

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  4. Search and create records in Airtable with data from Browse AI

    A ready-to-use Make workflow that connects Browse-ai, Builtin, Airtable. Search and create records in Airtable with data from Browse AI. Customize and deploy in minutes.

    MakeFree
  5. Upsert a vector into a Pinecone namespace from new Typeform data

    Maximize your data's potential by upserting a vector into a Pinecone namespace with this Typeform integration, enhancing search capabilities and database organization.

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  6. BrowserAct Geo-Search Automation Flow

    This workflow automates local service discovery using Telegram, BrowserAct, and Gemini AI. When a user messages the bot, the system first determines whether the request is casual chat or an actual service inquiry. If the user provides both a service type and a location, the workflow continues. If not, the bot asks for missing details. Once the request is complete, the data is passed to BrowserAct, which navigates Google Maps, scrolls through the results, extracts provider information, and returns structured JSON. The extracted results are sent to Gemini AI with a formatting prompt that converts the data into clean, HTML-ready Telegram output while respecting character limits and display rules. Finally, the formatted results are delivered back to the user in Telegram as an organized list of providers including name, rating, phone, address, and website links. This template is ideal for building intelligent service-finder assistants, lead-generation tools, or local business lookup bots.

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  7. BrowserAct Movie Metadata & Critics Extractor

    This scenario automates the creation of professional, publication-ready movie review articles by combining BrowserAct web scraping with Gemini AI content generation. The workflow begins by reading a list of movies and release years from Google Sheets. Each movie is processed individually through BrowserAct, which collects images from Google Images, gathers movie metadata, and extracts critic reviews from Rotten Tomatoes. All extracted data is returned in a structured JSON format. Gemini then transforms the scraped data into a comprehensive HTML article suitable for WordPress or any modern publishing platform. The final output is written back to the sheet so results stay organized and easy to review. This template is ideal for content creators, bloggers, review sites, and automation builders who want to quickly produce consistent, high-quality movie articles without manual research or writing.

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  8. Extract data from Invoices received on Gmail with Eden AI

    A ready-to-use Make workflow that connects Google-email, Edenai, Google-sheets. Extract data from Invoices received on Gmail with Eden AI. Customize and deploy in minutes.

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  9. Classify Documents using PDF.co

    A ready-to-use Make workflow that connects Google-drive, Pdf-co, Builtin. Classify Documents using PDF.co. Customize and deploy in minutes.

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  10. Extract the content of any page with HTML/CSS and Google Cloud Vision

    Every time a new page is captured with HTML/CSS to Image, Make will automatically analyze the screenshot and the text content will be extracted using Google Cloud Vision (OCR).

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  11. Retrieve new records from Airtable and train Leap AI models with the record data

    Boost your AI capabilities by retrieving new records from Airtable and training Leap AI models with record data, enhancing automation and data-driven insights.

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  12. Automate your invoice data extraction with Rossum Elis and store the results in Google Sheets

    A ready-to-use Make workflow that connects Http, Builtin, Rossum-elis. Automate your invoice data extraction with Rossum Elis and store the results in Google Sheets. Customize and deploy in minutes.

    MakeFree
  13. Extract information from invoices received on Gmail into Monday with Eden AI

    A ready-to-use Make workflow that connects Google-email, Edenai, Monday. Extract information from invoices received on Gmail into Monday with Eden AI. Customize and deploy in minutes.

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  14. Extract data  from resumes received on Gmail with Eden and get notified on Slack

    A ready-to-use Make workflow that connects Google-email, Edenai, Slack. Extract data  from resumes received on Gmail with Eden and get notified on Slack. Customize and deploy in minutes.

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  15. BrowserAct Intelligent Software Category Search Bot

    This template creates a fully automated business app recommendation bot for Telegram. It starts by analyzing the user’s message with AI to determine whether the user is casually chatting or requesting a software recommendation. If a valid category is detected, BrowserAct is triggered to search G2 and extract app details such as name, company, description, pros and cons, images, and review links. The extracted data is then processed by Gemini, which formats each item into a clean JSON structure compatible with the Telegram API. The workflow automatically chooses whether to send text or images based on the content type and delivers the recommendations back to the user as rich, formatted messages. This template includes category detection, web automation, data extraction, AI-based formatting, and dynamic Telegram message delivery. Suitable for SaaS discovery bots and product recommendation tools.

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  16. Take screenshots of a website's pricing page with Browse AI and upload to Airtable

    Periodically screenshot your competitor's pricing page on their website using Browse AI, effortlessly uploading to Airtable for organization and analysis, ensuring powerful data-driven insights on your competitors.

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  17. Run Apify actor and create records in Airtable from dataset items

    Automatically run an Apify actor, fetch dataset items, and create records in Airtable. Streamline data processing and organization with Apify and Airtable integration.

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  18. Create a new Trello card for new BigML resources

    A ready-to-use Make workflow that connects Bigml, Trello. Create a new Trello card for new BigML resources. Customize and deploy in minutes.

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  19. Extract Facebook posts and comments from Groups and add them to Google Sheets

    A ready-to-use Make workflow that connects Apify-facebook-scraper, Google-sheets. Extract Facebook posts and comments from Groups and add them to Google Sheets. Customize and deploy in minutes.

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  20. Extract products from Product Hunt with Browse AI, send to Notion and share on Slack

    A ready-to-use Make workflow that connects Browse-ai, Builtin, Notion. Extract products from Product Hunt with Browse AI, send to Notion and share on Slack. Customize and deploy in minutes.

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  21. BrowserAct AI-Powered Designer Matcher

    This template automates the process of discovering and evaluating top design talent on Dribbble. It collects the user's hiring requirements directly from Telegram—such as the desired skill, target location, and maximum budget. The workflow then passes these inputs into a BrowserAct automation that searches Dribbble, extracts designer profiles, and intelligently filters results based on the user’s criteria. After processing, the template formats the designer information and sends it back to the Telegram chat in a clean and readable format. It supports structured outputs, automated data parsing, and optional Google Sheets logging for later review. This template is ideal for recruiters, founders, hiring managers, or anyone looking to quickly find qualified designers without manually browsing Dribbble. Fully automated, fast to deploy, and beginner-friendly.

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  22. Capture invoice data in Pennylane using OCR

    A ready-to-use Make workflow that connects Pennylane, Koncile-advanced-ocr. Capture invoice data in Pennylane using OCR. Customize and deploy in minutes.

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    Communication (2,463)AI (1,930)Business Operations & ERPs (1,540)Other (1,425)Productivity (1,202)Marketing (1,145)Data & Analytics (995)File & Document Management (802)CRM - Sales (604)Notifications (580)

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