Global Mosque/NGO Data Collection via Make.com
Budget: $250 – $750 SGD
Job Title:
Develop a Make.com Workflow for Scraping Global Mosque & Muslim-Based NGO Data with Detailed Documentation
________________________________________
Job Description:
I am looking for a skilled Make.com automation expert to build a workflow that scrapes Google for global contact details of mosques and Muslim-based NGOs. The workflow must allow for targeted searches by category (e.g., society, charity, non-profit) and be optimized for credit efficiency in Make.com. The final system should produce structured data outputs and include clear, beginner-friendly documentation.
________________________________________
Scope of Work:
1. Automation Workflow:
1) Build a Make.com workflow to scrape Google for the following details:
a. Organization Information:
i. Organization Name
ii. Organization Type (Mosque or Muslim-Based NGO)
iii. Organization Category (e.g., Society, Charity, Non-Profit, Foundation)
iv. Organization Address
v. Website URL
b. Social Media Links (each in a separate column):
i. Facebook
ii. Instagram
iii. TikTok
c. Contact Information:
i. Contact Person’s Name
ii. Contact Person’s Title
iii. Mobile Number
iv. Main Number
v. Email Address
2) Specific NGO Focus: Ensure the search targets Muslim-based NGOs only.
3) Use array aggregation to optimize Make.com credit usage, grouping multiple data points into a single data object.
2. Output Requirements:
1) Export the aggregated data into Excel format.
2) Automatically upload the Excel file to a designated Google Drive folder.
3) Provide sample outputs for the following locations:
a. Malaysia, Selangor
b. Indonesia, Jakarta
c. Thailand, Bangkok
d. England, London
3. Documentation:
1) Create a Microsoft Word instruction manual covering:
a. How to run the workflow.
b. Adjusting search parameters for countries, states, and categories.
c. Ensuring compliance with website constraints to prevent scraping bans.
d. Explanation of array aggregation and its impact on Make.com credits.
e. Troubleshooting and best practices for maintaining efficiency.
4. Walkthrough Session:
1) Provide a live or recorded walkthrough session to explain the workflow and address any questions.
________________________________________
Array Aggregation and Credit Optimization
1) The workflow must implement array aggregation to group multiple data fields (e.g., name, email, address) into a single expandable data object.
2) This approach ensures:
a. Lower Cost: Minimizes the number of Make.com operations, saving credits.
b. Maximized Output: Outputs can be expanded into rows in Excel for ease of use.
________________________________________
Deliverables:
1) Fully functional Make.com workflow transferred to my account.
2) Instruction manual with detailed, beginner-friendly usage and troubleshooting steps.
3) Sample outputs for the specified regions.
4) Final walkthrough session to demonstrate the workflow.
________________________________________
Requirements:
1) Experience with Make.com workflows and web scraping.
2) Familiarity with filtering data for Muslim-based NGOs.
3) Portfolio or examples of similar projects.
4) Clear communication and regular updates.
________________________________________
Deadline:
Project must be completed within 2 weeks from the start date.
________________________________________
How to Apply:
1) Share examples of Make.com workflows or automation projects you’ve completed.
2) Explain how you will ensure compliance with website constraints and target Muslim-based NGOs.
3) Briefly describe your approach to array aggregation for credit optimization.
4) Confirm your availability for regular updates and the final walkthrough session.
Develop a Make.com Workflow for Scraping Global Mosque & Muslim-Based NGO Data with Detailed Documentation
________________________________________
Job Description:
I am looking for a skilled Make.com automation expert to build a workflow that scrapes Google for global contact details of mosques and Muslim-based NGOs. The workflow must allow for targeted searches by category (e.g., society, charity, non-profit) and be optimized for credit efficiency in Make.com. The final system should produce structured data outputs and include clear, beginner-friendly documentation.
________________________________________
Scope of Work:
1. Automation Workflow:
1) Build a Make.com workflow to scrape Google for the following details:
a. Organization Information:
i. Organization Name
ii. Organization Type (Mosque or Muslim-Based NGO)
iii. Organization Category (e.g., Society, Charity, Non-Profit, Foundation)
iv. Organization Address
v. Website URL
b. Social Media Links (each in a separate column):
i. Facebook
ii. Instagram
iii. TikTok
c. Contact Information:
i. Contact Person’s Name
ii. Contact Person’s Title
iii. Mobile Number
iv. Main Number
v. Email Address
2) Specific NGO Focus: Ensure the search targets Muslim-based NGOs only.
3) Use array aggregation to optimize Make.com credit usage, grouping multiple data points into a single data object.
2. Output Requirements:
1) Export the aggregated data into Excel format.
2) Automatically upload the Excel file to a designated Google Drive folder.
3) Provide sample outputs for the following locations:
a. Malaysia, Selangor
b. Indonesia, Jakarta
c. Thailand, Bangkok
d. England, London
3. Documentation:
1) Create a Microsoft Word instruction manual covering:
a. How to run the workflow.
b. Adjusting search parameters for countries, states, and categories.
c. Ensuring compliance with website constraints to prevent scraping bans.
d. Explanation of array aggregation and its impact on Make.com credits.
e. Troubleshooting and best practices for maintaining efficiency.
4. Walkthrough Session:
1) Provide a live or recorded walkthrough session to explain the workflow and address any questions.
________________________________________
Array Aggregation and Credit Optimization
1) The workflow must implement array aggregation to group multiple data fields (e.g., name, email, address) into a single expandable data object.
2) This approach ensures:
a. Lower Cost: Minimizes the number of Make.com operations, saving credits.
b. Maximized Output: Outputs can be expanded into rows in Excel for ease of use.
________________________________________
Deliverables:
1) Fully functional Make.com workflow transferred to my account.
2) Instruction manual with detailed, beginner-friendly usage and troubleshooting steps.
3) Sample outputs for the specified regions.
4) Final walkthrough session to demonstrate the workflow.
________________________________________
Requirements:
1) Experience with Make.com workflows and web scraping.
2) Familiarity with filtering data for Muslim-based NGOs.
3) Portfolio or examples of similar projects.
4) Clear communication and regular updates.
________________________________________
Deadline:
Project must be completed within 2 weeks from the start date.
________________________________________
How to Apply:
1) Share examples of Make.com workflows or automation projects you’ve completed.
2) Explain how you will ensure compliance with website constraints and target Muslim-based NGOs.
3) Briefly describe your approach to array aggregation for credit optimization.
4) Confirm your availability for regular updates and the final walkthrough session.