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Segundamano Peru Scraper

Pricing

from $0.40 / 1,000 results

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Segundamano Peru Scraper

Segundamano Peru Scraper

Extract public used-goods and services listings from Segundamano.pe into structured datasets.

Pricing

from $0.40 / 1,000 results

Rating

0.0

(0)

Developer

Philip Kirkbride

Philip Kirkbride

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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A conservative, plain-HTTP Apify Actor that extracts public used-goods and services listings from Segundamano.pe into a normalized dataset.

This is the portfolio's level-one learning Actor: no login, browser automation, proxy, or internal API access.

Pricing

Pay per event: $0.0005 per run + $0.0004 per result.

Input

  • categories: used-goods, services, or both
  • region: optional exact region such as LIMA or CUSCO
  • maxPages: 1–5 pages per category (or for the search term)
  • maxResults: 1–200 total records
  • requestDelaySecs: 0.5–10 seconds between pages
  • includeDetails: when true, fetch each collected listing's detail page (same delay applies) and enrich the record

Output

Each dataset item contains the listing ID, a composite listingKey (source:id, e.g. segundamano.pe:110), URL, title, category, region, currency, price, relative publication date (Spanish free text as shown by the source), the conditionBadge raw badge text (not a verified condition; often null, and "Nuevo" may appear on second-hand items), image URL, source, and collection timestamp. With includeDetails enabled, items additionally carry the full description, public seller name and contact, extra gallery image URLs, and the exact postedAt timestamp in ISO-8601; unavailable fields are null.

Local development

uv sync --dev
PYTHONPATH=src .venv/bin/python -m unittest discover -s tests -v

The tests use a committed HTML fixture. A live smoke test should remain small and use the Actor's identifying user agent.

Crawl policy

  • Public category and listing pages only
  • No login, private data, or internal API endpoints
  • Maximum five pages per category
  • At least 0.5 seconds between page requests
  • No anti-bot bypasses