10-Day Learn Scrapy Day 3: Core Engineering Lecture

10-day Scrapy day 03 module-first lecture built from repo docs with executable validation and rollback boundaries.

16Yun Engineering TeamMar 11, 20262 min read

Part 3: Pagination and Duplicate Control

This is Day 3/10 of "10-Day Learn Scrapy". Today solves one concrete problem only.

What Is Pagination and Duplicate Control?

Pagination Strategy and Duplicate Boundaries is a focused unit of scraping work that can be implemented and verified independently. Conclusion: you must deliver stable pagination flow without duplicate rows by end of day.

Beginners Scrapy Tutorial

Constraints for this day:

  • single-module scope only
  • evidence must include commands, code, outputs, and validation
  • every failure needs one fix note

Today's repo documentation anchors:

  • scrapy/scrapy: key directories docs, extras, scrapy, sep
  • scrapy/scrapyd: key directories docs, integration_tests, scrapyd, tests
  • scrapy-plugins/scrapy-playwright: key directories docs, examples, scrapy_playwright, tests

Step 1 - Environment and Baseline Setup

cd ~/scrapy-labs/day01/bookslab
scrapy crawl books -O output/day03.json
python scripts/check_dup.py output/day03.json

Step 2 - Build the Core Module

Core implementation snippet for today:

# robust next-page follow
next_href = response.css("li.next a::attr(href)").get()
if next_href:
    yield response.follow(next_href, callback=self.parse, dont_filter=False)

Step 3 - Run and Capture Outputs

Expected output check:

  • the crawl writes a structured output file;
  • critical fields are present and non-empty for sampled rows.

Step 4 - Validate and Fix Failures

Supporting code snippet for today's flow:

# scripts/check_dup.py
import json, sys
rows = json.load(open(sys.argv[1]))
ids = [r.get("url") for r in rows]
dup = len(ids) - len(set(ids))
print("rows:", len(rows), "dup:", dup)
assert dup == 0

Step 5 - Boundary and Acceptance

  • Pitfall 1: command success without data-quality checks.
  • Pitfall 2: manual visual inspection without scripts.
  • Pitfall 3: multi-variable changes in one experiment.

Acceptance table:

CheckPass CriteriaFailure SignalFix Direction
Output size>= 200 rowsfar below thresholdinspect pagination/request path
Field qualitymissing ratio <= 5%many empty title/urlrevisit selectors and cleaning
Validation scriptpassassert faildebug failed rows and rerun
Rollbackrecover in 10 minirreversible changeskeep baseline config

Next Steps

  • Summarize today's knowledge coverage: core concepts, module implementation, validation and troubleshooting, production boundary
  • Record one failure and one fix action
  • Continue to the next Part with the same Step rhythm

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