Tutorials Articles

Hands-on tutorials for scraping with Python, Node.js, and the Spidra API. From beginner setups to advanced anti-bot bypass techniques.

All Trends Announcements Guides Best Practices Case Studies Tutorials

How to collect and refresh job postings for a job board

Build a job listing pipeline with Python and Spidra. Collect structured job data, remove duplicates, detect changes, and monitor new postings.

Joel OlawanleNovember 10, 2026 · 12 min read

How to scrape Amazon seller offers with Spidra

Collect Amazon seller offers with Spidra. Compare prices, conditions, shipping and seller feedback, then export CSV or JSON without code.

Olabisi Olamide JohnNovember 9, 2026 · 6 min read

How to scrape Amazon search results with Spidra

Turn an Amazon keyword search into CSV or JSON with Spidra. Follow a three-page search for tablets and compare prices, positions, and product IDs.

Olabisi Olamide JohnNovember 6, 2026 · 4 min read

How to build a supplier intelligence dataset with Python

Search for supplier websites, map their pages, extract one consistent record each, and keep every field traceable to its source page.

Shittu OlumideNovember 5, 2026 · 24 min read

How to extract Amazon product data with Spidra

Extract Amazon product data without writing code. Follow a Lenovo tablet listing from ASIN to CSV and JSON, including price, availability, and ratings.

Olabisi Olamide JohnNovember 5, 2026 · 5 min read

How to find product ideas on Reddit using AI and Spidra

Learn how to find product ideas on Reddit using Spidra and AI. Collect real discussions, analyze comments, and identify opportunities worth validating.

Joel OlawanleNovember 5, 2026 · 14 min read

How to find Amazon best sellers by category with Spidra

Export Amazon’s top 100 Electronics best sellers with Spidra. Follow a real category run to capture ranks, prices, and ASINs in CSV or JSON.

Olabisi Olamide JohnNovember 4, 2026 · 4 min read

How to validate scraped JSON with Pydantic

Turn Spidra's structured output into typed Python objects, and decide what happens when a field is null, mistyped or from the wrong page.

Shittu OlumideNovember 4, 2026 · 19 min read

How to normalize prices, currencies, and units in scraped data

Extract prices as text, parse currency and separators in code, and reject what's ambiguous. A tested pipeline with before and after records.

Shittu OlumideOctober 30, 2026 · 21 min read

How to Scrape Indeed Job Listings With Spidra: A Product Designer's Job Search in Lagos

Learn how to scrape Indeed jobs with a no-code template or the API. Collect titles, companies and salaries, export to CSV, and monitor new listings.

Olabisi Olamide JohnOctober 29, 2026 · 11 min read

How to build a Walmart price tracker with Python

Build a Walmart price tracker with Python and Spidra. Save price history in SQLite, detect price drops, and get automatic Discord alerts.

Joel OlawanleOctober 29, 2026 · 13 min read

How to compare Amazon and Walmart prices with Python

Compare Amazon and Walmart prices with Python. Extract product data, match listings, calculate price differences, and export results to CSV.

Joel OlawanleOctober 28, 2026 · 13 min read

How to extract spreadsheet data with Python: Pandas vs document parsing

Read an XLSX with pandas for typed records, or with Parse for searchable text. One workbook, both outputs, and where each one fails.

Shittu OlumideOctober 28, 2026 · 17 min read

How to convert arXiv PDFs to Markdown with Python

Convert arXiv PDFs to Markdown with Python and Spidra. Preserve equations, tables, paper metadata, and page references for research and RAG applications.

Joel OlawanleOctober 27, 2026 · 11 min read

Scanned PDFs vs text PDFs: Parsing accuracy and cost

We built matching text and scanned pages with known answers, ran Parse in auto, fast and OCR modes, and measured omissions, speed and credits.

Shittu OlumideOctober 27, 2026 · 18 min read

You build the product.
Spidra handles the data work.

Start with 300 free credits, about 300 pages. No credit card required.

Using an AI agent? Connect the MCP server