Rights and access
Record source terms, allowed methods, and any rate or reuse limits.
Guide
Scope collection before building a crawler
Successful extraction begins with a permitted source, a field definition, and a quality threshold. This guide outlines the decisions that make a dataset useful and maintainable after the first successful scrape.
01 / Scope
What Planning data extraction covers
Schema and provenance
Define each field, keep source references, and represent missing values honestly.
Change handling
Plan for layout changes, duplicates, failures, and review of uncertain records.
02 / Method
A clear path through the work.
- 01
Pick a sample
Choose typical and difficult pages from each source.
- 02
Test the mapping
Extract fields and inspect errors against a labeled sample.
- 03
Design operations
Specify refresh, monitoring, exception review, and export format.
03 / Outputs
Know what your project includes.
- Source access checklist
- Sample field map
- Quality and maintenance plan
Specific scope, compatibility, schedule, and commercial terms are confirmed in a project agreement.
04 / Questions
A few useful details.
Can every page be scraped?
No. Legal terms, access controls, and technical design may prevent or limit collection.
How much data should a pilot include?
Enough varied examples to reveal common fields and edge cases; the exact amount depends on the source.
When is manual review needed?
Use it when a field is ambiguous or errors have meaningful consequences.
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