
Scrape 22 Sources – Approx. 110k Records
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€100(approx. $115)
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♛ PPH No. #1 ✔ AI Solutions Architect ♛ Enterprise Software Engineer ✔ Magento ✔ Shopify ✔ WordPress ✔ API Integration ✔ React Native ✔ AngularJS / Node.js



WordPress & Shopify Developer | AI Chatbot Automation Expert | Web Scraping | Automation | Data Extraction | Python
Full Stack Dot Net Developer | LinkedIn Lead Expert| Senior Web Developer |Python | API Expert |WordPress Developer | Angular | SQL | MS AZURE

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Description
Experience Level: Expert
Estimated project duration: less than 1 week
Scrape 22 Sources – Approx. 110k Records
Please find attached the detailed scraping instructions for each source.
The highlighted sections (yellow) identify the 22 data sources to be processed, with an estimated total of approximately 110k school records.
DELIVERABLES
For each highlighted source, create a separate folder containing:
• One Excel (.xlsx) file with the extracted data.
• The Excel should include, whenever available, at least the following columns:
o School Name
o Address
o Email
o Telephone
If a source provides additional useful fields requested in the detailed instructions (e.g. postal code, school code, city, etc.), include them as extra columns.
IMPORTANT
• Follow the source-specific instructions in the attached document, as they take precedence over these general guidelines.
• One output folder per highlighted source.
• One Excel file per source.
• Preserve all available records from each source.
VALIDATION SAMPLE
To demonstrate that you fully understood the task before the full assignment starts, please provide a sample Excel containing 5 records for each of the following sources:
• Austria
• Greece
• Belgium – Wallonie WBE
The sample should follow exactly the same structure and extraction rules that will be used for the final delivery.
TIMELINE
• Submit the validation sample as soon as possible.
• I will be on holiday from 17 July to 30 July. Please ask any questions before 17 July, as I may not be available during that period.
• The final delivery is required within 7 days of the project award.
Please use the time before the assignment confirmation to review the instructions and prepare the validation sample. Once the work is assigned, the extraction can proceed without further clarification.
Please find attached the detailed scraping instructions for each source.
The highlighted sections (yellow) identify the 22 data sources to be processed, with an estimated total of approximately 110k school records.
DELIVERABLES
For each highlighted source, create a separate folder containing:
• One Excel (.xlsx) file with the extracted data.
• The Excel should include, whenever available, at least the following columns:
o School Name
o Address
o Email
o Telephone
If a source provides additional useful fields requested in the detailed instructions (e.g. postal code, school code, city, etc.), include them as extra columns.
IMPORTANT
• Follow the source-specific instructions in the attached document, as they take precedence over these general guidelines.
• One output folder per highlighted source.
• One Excel file per source.
• Preserve all available records from each source.
VALIDATION SAMPLE
To demonstrate that you fully understood the task before the full assignment starts, please provide a sample Excel containing 5 records for each of the following sources:
• Austria
• Greece
• Belgium – Wallonie WBE
The sample should follow exactly the same structure and extraction rules that will be used for the final delivery.
TIMELINE
• Submit the validation sample as soon as possible.
• I will be on holiday from 17 July to 30 July. Please ask any questions before 17 July, as I may not be available during that period.
• The final delivery is required within 7 days of the project award.
Please use the time before the assignment confirmation to review the instructions and prepare the validation sample. Once the work is assigned, the extraction can proceed without further clarification.
Francesco C.
99% (92)Projects Completed
74
Freelancers worked with
27
Projects awarded
58%
Last project
16 Apr 2026
Italy
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