#python

Show how to extract Vinted search listings, prices, brands, and image URLs into a resale-market dataset with Python, screenshots, and a ProxiesAPI-ready fetch layer.

Collect GitHub repository metadata, stars, forks, topics, and README-linked context from the public HTML with Python. Includes defensive selectors, CSV export, and a screenshot.

A production-grade image downloader in Python: concurrency, retries, content-type validation, safe filenames, and checksum dedupe. Optional ProxiesAPI proxy support for rate-limited hosts.

A practical comparison of Beautiful Soup, Scrapy, and Selenium: speed, reliability, learning curve, and when each tool wins. Includes decision rules, small reference patterns, and honest guidance on when proxies (like ProxiesAPI) actually matter.

Capture Vinted search listings with title, price, brand, size, image, and listing URL into a reusable resale dataset.

Extract Goodreads review text, star ratings, review counts, and reviewer metadata for a clean book-sentiment dataset.

A practical guide to web crawling vs web scraping: what each one does, how the architectures differ, and when to use a crawler, a scraper, or both together.

Build a GitHub pull request queue from public HTML: collect PR titles, numbers, labels, comments, authors, timestamps, and draft status so you can triage reviews without the API.

Turn Yahoo Finance's earnings calendar into a clean daily dataset you can filter by date, ticker, and surprise expectations.

A practical guide to reducing Cloudflare blocks with better fingerprints, session reuse, rate control, and smarter escalation paths.

A buyer-focused guide to picking a data scraping tool, including proxy support, parsing reliability, scheduling, exports, and total cost.

Learn how to scrape Goodreads book pages responsibly: extract rating, rating count, review count via JSON-LD, parse key metadata, and collect top review snippets. Includes screenshot and ProxiesAPI-ready request patterns.

A practical asyncio + aiohttp guide for web scraping: bounded concurrency, semaphores, retries with backoff, timeouts, per-host limits, and batch exporting. Includes a complete working template.

A practical playbook for reliable pagination: offset vs cursor, next-page discovery, infinite scroll, duplicate prevention, and retry/backoff patterns you can copy into production.

Cut proxy cost and avoid bans with smarter caching: HTTP conditional requests, cache keys, TTL strategy, content hashing, and Redis patterns for production scrapers.

Build a practical GitHub Issues scraper in Python: parse issue rows, collect labels + state + dates, follow pagination, and export a triage-ready CSV. Includes screenshot + working code.

A practical guide to getting website data into Excel: Power Query for simple pages, handling pagination, and when to switch to Python + ProxiesAPI for reliable scheduled imports.

Build a practical Steam scraper: crawl search results, extract title/appid/price/discount/review summary, then enrich each game from its app page. Includes a screenshot and a ProxiesAPI-ready fetch layer.

A practical playbook for e-commerce scraping: what to collect (SKU/price/availability), crawl schedules, change detection, retries, and a clean schema for competitive intel — with a ProxiesAPI-backed fetch layer when you scale.

Build a daily FX-rates dataset: scrape a real rates table, validate values, write CSV/JSONL, and keep it running with retries. Includes a ProxiesAPI-ready network layer and a screenshot of the source page.

Extract author profile data plus a clean list of books (title, URL, average rating, rating count) from Goodreads author pages. Includes real selectors, retries, and a screenshot.

Build a lightweight Google News based aggregator: search by topic, extract headlines and publishers, dedupe, and export a daily feed. Includes selectors, retries, and a ProxiesAPI fetch option.

A practical, feature-first guide to choosing a web scraping stack in 2026: browser automation vs HTTP parsing vs crawler frameworks vs data APIs. Includes comparison tables, cost tradeoffs, and when ProxiesAPI fits.

Scrape search results via ProxiesAPI, extract title/price/url/seller, and save a clean dataset (with a screenshot).

Cloudflare 520 errors are vague by design. This guide explains what a 520 actually means, the most common scraping causes, and a step-by-step debugging flow with resilient retry and proxy patterns.

A practical Best Buy reviews scraper in Python: extract SKU from a product URL, pull reviews from Best Buy’s UGC endpoint, normalize fields, paginate safely, and export JSON/CSV. Includes a target-page screenshot and an optional ProxiesAPI fetch layer.

Build a practical AllRecipes scraper in Python: fetch recipe pages via an optional ProxiesAPI wrapper, extract ingredients/steps/nutrition from JSON-LD, normalize the fields, and export a clean dataset. Includes a target-page screenshot.

Practical Shopify scraping patterns: discover product JSON endpoints, paginate collections, extract variants + availability, and reduce blocks while staying ethical.

Scrape Steam specials/search pages via ProxiesAPI, extract discount + price + appid, and persist a daily snapshot to detect price drops. Includes pagination, CSV export, and a screenshot of the target page.

A practical guide to robots.txt for scraping: what it is, how crawlers interpret it, what it means legally/ethically, and how to build respectful scrapers (user-agent, crawl-delay, allow/disallow, sitemaps).

A practical playbook for eliminating HTTP 429s: rate limits, concurrency control, jittered exponential backoff, token buckets, Retry-After handling, and when proxies help vs hurt. Includes a production-ready Python retry wrapper.

A resilient Yahoo Finance scraper in Python: fetch quote pages via ProxiesAPI, extract live-ish quote fields + key stats from embedded JSON, handle retries, and export to CSV.

Scrape Goodreads list pages for title/author/rating/reviews with Python: fetch via ProxiesAPI, parse real HTML selectors, paginate safely, and export CSV/JSON.

A developer-first XPath cheat sheet: selecting nodes, relative vs absolute paths, text matching, attributes, siblings, and common patterns. Includes real examples in Python with lxml.

Build a small eBay dataset (title, price, condition, shipping) from search results, then pull completed/sold prices from the Sold filter. Includes pagination, CSV export, and ProxiesAPI in the fetch layer.

Build a Craigslist scraper with pagination + dedupe, capture title/price/location/date, export CSV, and keep the fetch layer resilient with ProxiesAPI. Includes a target-page screenshot.

A beginner-friendly BeautifulSoup tutorial: fetch HTML with requests, parse elements with CSS selectors, handle pagination, avoid common pitfalls, and export results. Includes an honest ProxiesAPI section for when you scale.

A practical guide to scraping real estate data in 2026: Zillow vs Realtor.com vs Redfin. What each site exposes, what breaks at scale, and realistic approaches for building a listings dataset.

Scrape Yahoo Finance movers tables (gainers + losers), extract tickers, prices, % change, and volume using stable data-testid anchors, then export to CSV. Includes selector rationale and a screenshot.

A practical Selenium web scraping with Python guide: setup, waits, selectors, anti-bot basics, exporting data, and when Selenium is the wrong tool. Includes comparison tables and a ProxiesAPI-friendly architecture pattern.

A practical, risk-aware guide to scraping Airbnb listings: what data exists, what breaks, ethics/ToS considerations, and safer architecture patterns. Includes comparison tables and alternatives like permitted datasets and partner approaches.

Pull Apple App Store top charts and app metadata reliably, export to CSV, and keep runs stable with retries + ProxiesAPI. Includes a screenshot-backed walkthrough.

A practical, no-hype guide to rotating proxies: per-request vs per-session rotation, residential vs datacenter, common mistakes, and how to implement rotation safely in Python.

A step-by-step playbook for ecommerce scraping: product selectors, pagination, retries, proxy rotation, and data QA — with real Python patterns you can reuse.

Web scraping explained without jargon: what it is, how it works, common use cases, risks (legal, technical, and data quality), and a tiny Python example you can run today.

A practical, non-hype guide to rotating proxies: request vs session rotation, sticky IPs, block signals, and how to wire rotation into a scraper (including ProxiesAPI-ready examples).

When HTML isn’t in the initial response: how to detect JS-rendered pages and choose between XHR reverse-engineering, Playwright, hybrid extraction, and more. Practical decision rules + examples.

Scrape BBC News section pages to collect headlines and article URLs with Python + BeautifulSoup. Includes a simple dedupe store (JSON), multiple sections, and a ProxiesAPI fetch wrapper for stability.

Make Python Requests reliable for scraping: proxy configuration, timeouts, retries with backoff, common failure modes, and when to use ProxiesAPI for a stable fetch layer.

Extract routes, dates, and the cheapest price cards from Google Flights reliably with sessions, headers, retries, and screenshot proof.

A practical 2026 comparison of web scraping tools: DIY libraries, headless browsers, managed scraping APIs, proxy providers, and when to choose each. Includes decision framework and comparison table.

Airbnb is a high-friction target. Here’s what data is realistic to collect in 2026, what gets blocked, safer alternatives, and how to design a risk-aware pipeline.

Build a Craigslist city+category scraper with pagination, dedupe, and CSV export. Includes selectors, anti-block hygiene, and screenshot proof.

Collect arXiv paper metadata (title, authors, abstract) and download PDFs reliably. Includes practical selectors, rate-limits, and screenshot proof.

Free proxy lists look tempting—until you measure uptime, bans, and fraud. Here’s where to find them, how to test them, and when to switch to a proxy API.

How to extract listing URLs + core fields (price, beds, baths, address) from Zillow search pages, with pagination, retries, and export. Plus realistic notes on blocking and alternatives.

A practical guide to using proxies with Python Requests: basic config, authenticated proxies, session rotation, retries, timeouts, and a simpler ProxiesAPI fetch pattern.

A practical blueprint for scraping Amazon product pages and review listings: extract core fields, follow pagination, handle throttling, and detect blocks. Includes ProxiesAPI fetch code and real selectors.

A practical 2026 decision guide to web scraping tools: Python libraries, headless browsers, proxy APIs, turnkey services, and managed datasets—plus a no-nonsense selection framework.

A practical guide to extracting flight price quotes from Google Flights responsibly: capture share URLs, fetch server-rendered HTML, parse price cards, and export clean JSON. Includes ProxiesAPI-backed requests + a screenshot.

A step-by-step anti-block strategy for web scraping: request fingerprinting, sessions, rate limits, retries, proxies, and when to use a real browser—without burning IPs or writing brittle code.

A practical anti-blocking playbook: pacing, headers, retries, proxy rotation, browser fallback, and monitoring. Includes Python patterns you can reuse in production.

A practical buyer’s guide to web scraping tools in 2026: Requests/BS4, Scrapy, Playwright, Apify, proxies, and hosted scrapers—plus a decision checklist and comparison table.

A practical anti-blocking playbook for web scraping: rate limits, headers, retries, session handling, proxy rotation, browser fallback, and monitoring—plus proven Python patterns.

A practical (and honest) guide to extracting business listing fields using Google Maps links + place pages: parse name, rating, address, phone, and website with Python, and use ProxiesAPI to keep requests stable as you scale. Includes a proof screenshot.

A clear, practical explanation of web scraping in 2026: what it is, how it works, when to use it vs APIs, common myths, and how to do it responsibly.

Build a clean dataset of Apple Podcasts charts → show pages → episode lists. Includes stable IDs, incremental updates, and a scraper-friendly request layer using ProxiesAPI.

A pragmatic guide to choosing web scraping tools in 2026: HTTP libraries, parsers, headless browsers, extraction services, and proxy APIs — with decision rules and real-world tradeoffs.

Extract Play Store app metadata and reviews by crawling app detail pages and review endpoints safely. Includes a ProxiesAPI-ready network layer and a repeatable crawl plan.

Build a Netherlands real-estate dataset by crawling Funda search results, paginating safely, and extracting fields from detail pages. Includes ProxiesAPI-ready fetch layer and screenshots.

Build a practical Python web crawler from scratch: URL queue, canonicalization, robots.txt, rate limits, retries, and storage. Includes a ProxiesAPI-ready fetch layer.

A practical guide to choosing web scraping tools in 2026: browser automation vs frameworks vs no-code extractors vs hosted scraping APIs — plus cost, reliability, and when proxies matter.

Decision tree for JS sites: XHR capture, HTML endpoints, or headless—plus when proxies matter.

Build a repeatable Costco price dataset from search → listings → product pages, with ProxiesAPI + retries.

End-to-end tracker blueprint: URLs → scrape → normalize → alerting, with practical rate limiting + proxies.

Pull routes + dates, parse price cards reliably, and export a clean dataset with retries + proxy rotation.

A decision framework for dynamic pages: when HTML is enough, when to use Playwright, and how to keep costs low with hybrid scraping patterns.

A practical blueprint for tracking eBay prices at scale: what to scrape, how to normalize variants, and how to store history for alerts and dashboards.

A practical Shopify scraping playbook: use stable JSON endpoints first, fall back to HTML + JSON-LD, handle variants, and estimate inventory signals without brittle theme selectors. Includes Python examples + ProxiesAPI integration patterns.

Build a practical Walmart grocery price scraper: search for items, follow product links, extract price/size/availability, and export clean JSON. Includes ProxiesAPI integration, retries, and selector fallbacks.

A production-grade G2 reviews scraper: discover review pages, paginate safely, extract rating + pros/cons + metadata, and export a clean dataset. Includes retries, backoff, and a JSONL exporter.

Error 520 is Cloudflare’s generic 'unknown origin' failure. Here’s how to diagnose it (vs 403/1020/524) and fix it with TLS hygiene, headers, session handling, retries, and proxy rotation patterns using ProxiesAPI.

A practical Expedia scraper in Python using Playwright: open search results, extract hotel cards (and where flight offers live), paginate safely, and export clean JSON/CSV. Includes ProxiesAPI-friendly network patterns and a screenshot.

Scrape Google Finance quote pages for price, key stats, news headlines, and a simple historical price series with Python. Includes selector-first HTML parsing, CSV export, and block-avoidance tactics (timeouts, retries, and ProxiesAPI-friendly patterns).

Learn production-grade async scraping in Python with asyncio + aiohttp: bounded concurrency, per-host limits, retry/backoff, timeouts, and proxy rotation patterns. Includes a complete working crawler template.

A practical Scrapy starter for 2026: selectors, pagination, pipelines, exports, and adding proxy rotation the right way (including ProxiesAPI).

Extract Glassdoor company reviews and salary ranges more reliably: discover URLs, handle pagination, keep sessions consistent, rotate proxies when blocked, and export clean JSON.

Collect CNET comparison tables and spec blocks, normalize the data into a clean dataset, and keep the crawl stable with retries + ProxiesAPI. Includes screenshot workflow.

A grounded list of free web scraping tools that you can use today — with real limits, tradeoffs, and when you should upgrade to paid proxies/APIs.

Extract title, price, rating, and shop info from Etsy search pages reliably with rotating proxies, retries, and pagination.

A practical guide to web scraping in Excel: Power Query, built-in functions, Office Scripts, VBA, and a proxy-backed Python helper for reliable scheduled imports.

Build a daily stock-price dataset from Yahoo Finance: quote pages → parsed fields → CSV/SQLite, with retries, proxy rotation, and polite pacing.

Extract local leads from Google Maps: search results → place details → reviews, with a resilient fetch pipeline and a screenshot-driven selector approach.

Fetch ESPN’s scoreboard page, parse games + teams + scores into a clean table, then export CSV/JSON. Includes a screenshot and a resilient parsing strategy.

Scrape Apple Podcasts chart pages, extract show details, then pull episode metadata into a clean dataset. Includes screenshot + robust parsing with fallbacks.

Build a daily FX dataset (USD/EUR/INR) by scraping a public rates table into a clean time series CSV, with basic validation, retries/timeouts, and a ProxiesAPI-ready fetch layer. Includes a screenshot of the source page.

Extract product title, price, availability, and rating from Walmart product pages using a session + retry strategy. Includes a real screenshot and production-ready parsing patterns.

Collect role, company, location, and posted date from LinkedIn public job pages (no login) using robust HTML parsing, retries, and a clean export format. Includes a real screenshot.

Compare official and unofficial ways to fetch Google Trends data, plus a DIY approach with throttling, retries, and proxy rotation for stability.

A practical Goodreads scraper in Python: collect book title/author/rating count/review count + key metadata using robust selectors, ProxiesAPI in the fetch layer, and export to JSON/CSV.

Collect event name, date/time, venue, price, organizer, and event URL from Eventbrite category/location searches. Includes pagination + detail-page enrichment.

Extract listing title, price, mileage, location, and dealer info from Cars.com search results + detail pages. Includes selector notes, pagination, and a polite crawl plan.

Fetch BBC News pages via ProxiesAPI, extract headline text + canonical URLs + section labels, and export to JSONL. Includes selector rationale and a screenshot.

A practical SERP scraping workflow in Python: handle consent/interstitials, parse organic results defensively, rotate IPs, backoff on blocks, and export clean results. Includes a ProxiesAPI-backed fetch layer.

Scrape GitHub repo metadata from HTML (not just the API): stars, forks, latest release, open issues, and pull requests. Includes a ProxiesAPI fetch layer, safe parsing, and CSV export + screenshot.

A realistic guide to scraping Airbnb in 2026: what you can collect from search + listing pages, what’s hard, and how to reduce blocks with careful crawling and a proxy layer.

Pull Craigslist listings for a chosen city + category, normalize fields, follow listing pages for details, and export clean CSV with retries and anti-block tips.

Search arXiv, collect paper metadata, and download PDFs reliably with retries, rate limiting, and a network layer you can route through ProxiesAPI.

Extract structured fields from many Wikipedia pages (infobox + tables + links) with ProxiesAPI + Python, then save to CSV/JSON.

Build a lightweight weather dataset pipeline: geocode a city, fetch forecasts from Open-Meteo, add caching + retries, and export clean JSON/CSV.

A practical, step-by-step guide to discover every URL a site exposes: sitemap.xml, robots.txt, in-page link extraction, crawling with rules, and search-based discovery. Includes working Python code and ProxiesAPI integration for stable large-scale URL discovery.

A practical blueprint for price scraping and competitor price monitoring: what to track, how to crawl responsibly, change detection, and how to keep scrapers stable at scale.

Extract Yelp search results and business-page review snippets with Python. Includes pagination, resilient selectors, retries, and a clean JSON/CSV export.

Scrape Apartments.com listing cards and detail-page fields with Python. Includes pagination, resilient parsing, retries, and clean JSON/CSV exports.

A beginner-friendly explanation of what web scraping is, how it differs from APIs, common use cases, risks (blocks/legal), and a real end-to-end Python example with ProxiesAPI.

Extract hotel names, nightly prices, review scores, and basic availability fields from Booking.com search results using Python + BeautifulSoup, with ProxiesAPI for more reliable fetching.

Scrape AutoTrader search results into a clean dataset: title, price, mileage, year, location, and dealer vs private hints. Includes ProxiesAPI fetch, robust selectors, and export to JSON.

A from-scratch, production-minded guide to web scraping in Python: requests + BeautifulSoup, pagination, retries, caching, proxies, and a reusable scraper template.

Extract Amazon product title, price, rating, and availability from a product page using requests + BeautifulSoup, with retries and proxy-backed fetching via ProxiesAPI.

A practical playbook for ecommerce scraping: category discovery, pagination patterns, product detail extraction, variants, rate limits, retries, and proxy-backed fetching with ProxiesAPI.

Scrape Indeed job listings (title, company, location, salary, summary) with Python (requests + BeautifulSoup), then save a clean dataset you can render as a simple job board. Includes pagination + ProxiesAPI fetch.

Learn a production-safe retry strategy with status-code rules, backoff, and a Python helper you can drop into any scraper.

Turn messy HTML tables into structured datasets you can analyze with pandas in minutes.

Pull ratings, dates, reviewer names, and review text into a clean CSV for reputation monitoring.

Turn Wikipedia list tables and linked detail pages into a clean dataset you can export to CSV or JSON.

Target keyword: python proxy — show a production-safe Python requests setup with proxy routing, backoff, and failure handling.

Most scrapers fail silently: the request succeeds but the HTML is a block/consent/login page. Here’s how to detect soft-blocks before parsing.

A practical GitHub Trending scraper: fetch the Trending page, extract repo names + language + stars, and export a clean dataset.

Scrape a GitHub Releases page, extract versions and release notes, and store structured data so you can alert on changes.

A production-grade, sitemap-first WordPress scraper in Python (no guessed selectors): crawl sitemaps, fetch posts, extract clean text + metadata, and export to CSV/JSON.

A real-world IMDb scraping tutorial covering browser-rendered HTML, verified selectors, sample output, and why naive requests can fail.

Build a Show HN launch monitor in Python: capture fresh submissions, points, comments, outbound domains, and pagination so new product launches land in one clean feed.

Build a repeatable IMDb Top 250 snapshot pipeline so you can chart rank moves, rating drift, and vote growth over time.

Build a practical Vinted scraper: fetch search pages, extract listing cards, follow pagination, normalize results, and export clean JSON/CSV. Includes a screenshot and a ProxiesAPI-ready fetch layer.

Extract season/episode lists and episode ratings into a clean dataset: fetch episode pages, parse the real page payload, and export CSV/JSON. Includes screenshot + working code.

Build a reliable ESPN scores scraper: pull scoreboard data for multiple sports, normalize teams/scores/status, and export clean CSV/JSON. Includes a screenshot and a ProxiesAPI-ready fetch layer.

End-to-end Target product-page scraper that extracts title, price, and availability with robust parsing, retries, and CSV export patterns. Includes ProxiesAPI-ready request code and a screenshot of the page we scrape.

Extract Numbeo city-vs-city cost of living comparison rows into a clean dataset (item, city1, city2, percent diff). Includes screenshot, URL builder, and robust table parsing.

Build a practical Vinted listings scraper: pull search results via Vinted’s internal catalog endpoint, paginate safely, extract price/brand/size/image URLs, and export a clean CSV. Includes a screenshot + ProxiesAPI integration.

Build a production-ready Stack Overflow scraper: crawl tag pages, follow question links, extract question + answers + votes, and export JSON/CSV. Includes a screenshot and ProxiesAPI integration hooks.

Fetch a quote page via ProxiesAPI, parse price + key stats, and export to CSV (with a screenshot).

Fetch Shopee product metadata + reviews via ProxiesAPI, paginate ratings safely, and export clean JSON/CSV for analysis. Includes robust URL parsing, retry/backoff, and a screenshot of a real product page.

Extract top companies in a Trustpilot category (name, website, rating, review count) across pages using stable DOM anchors, then export to CSV. Includes selector rationale and a proof screenshot.

Build a practical Steam search scraper: fetch the real HTML, extract game title/appid/price/discount/review summary, and export clean CSV/JSON. Includes a screenshot and a ProxiesAPI-based fetch layer for stability.

Build a practical Marktplaats search scraper: fetch the real HTML, extract listing title/price/location/url, and export CSV. Includes a screenshot and a ProxiesAPI-based fetch layer to keep crawls stable.

Build an Amazon product-list scraper in Python that extracts title, URL, ASIN, price, and rating across multiple result pages. Includes retries, headers, and a ProxiesAPI-ready request wrapper.

A practical Booking.com scraper in Python that builds a search URL with dates + occupancy, parses hotel cards, and extracts room offers (room type + total price) with retries and screenshots for verification.

Extract listing title, price, location, and URL from Marktplaats search results with Python + BeautifulSoup. Includes pagination, CSV export, and a ProxiesAPI fetch wrapper for stability.

Paginate tag feeds, fetch question pages, and parse title/votes/accepted answer into a clean dataset — with a screenshot proof and production-grade Python.

Build an end-to-end SAM.gov scraper: search opportunities, paginate results, fetch detail pages, normalize fields, and export JSON/CSV using ProxiesAPI. Includes screenshots + robust retry patterns.

Build a sold-price dataset from Rightmove: crawl results, follow listing links, extract key fields, handle retries, and export to CSV using ProxiesAPI.

Build a resilient Stack Overflow scraper: crawl tag pages, extract question metadata, follow links, and parse accepted answers. Includes retries, dedupe, and ProxiesAPI-ready requests + a screenshot of the tag page.

Collect paginated contract opportunities from SAM.gov and enrich each record with detail-page fields using Python + ProxiesAPI. Includes selectors, retries, and screenshot proof.

Build a repeatable Rightmove dataset pipeline (search → listings → detail pages) using Python + ProxiesAPI. Includes selectors, retries, and screenshot proof.

Build a repeatable Rightmove sold-prices dataset with pagination, retries, and screenshot proof. Includes a production-ready Python scraper and export to CSV/JSON.

Build a repeatable Rightmove sold-price dataset pipeline in Python: crawl result pages, extract listing URLs, parse sold-price details, and export clean CSV/JSON with retries and politeness.

Build a SAM.gov opportunities dataset in Python: search with filters, paginate results, follow detail pages, and export structured contract fields with retries and polite crawling.

Build a daily stock-price dataset from Stooq (a green-list friendly source): fetch symbols, download historical OHLCV CSVs, handle retries/timeouts, and export clean CSV/SQLite—using ProxiesAPI in the network layer.

Collect Stack Overflow Q&A for a tag with pagination, answer extraction, and a proof screenshot. Export clean JSON for analysis.

Extract product name, price, and availability from Home Depot listing pages (search + category) with pagination, resilient parsing, and an anti-block-friendly request layer.

Extract IMDb Top 250 movies (rank, title, year, rating, vote count) into clean CSV/JSON — with robust parsing, retries, and polite crawling.

Scrape HN front pages and full comment threads into clean JSON — with pagination, robust selectors, retries, and an honest scaling path with ProxiesAPI.

Build a Rightmove sold-prices dataset builder in Python: fetch HTML reliably, parse listing cards, follow pagination, enrich details pages, and export a clean CSV/JSONL. Includes proof screenshots and a resilient request layer with ProxiesAPI.

Build a reliable scraper for SAM.gov contract opportunities: crawl search results, paginate, extract listing cards, fetch detail pages, and export CSV/JSON. Includes retry logic and a screenshot step for proof.

Extract pin titles, image URLs, outbound links, and board metadata from Pinterest search + board pages with pagination, retries, and defensive parsing. Includes a screenshot of the target UI.

Build a repeatable Netflix title dataset from listing pages: extract title rows, handle pagination defensively, dedupe, and export clean JSONL. Includes a screenshot of the target UI.

Pull contract opportunity listings from SAM.gov into a clean CSV: pagination, robust retries, request headers, and an honest ProxiesAPI integration to reduce throttling.

Build a repeatable sold-prices dataset from Rightmove: search pages → listing IDs → sold history. Includes pagination, dedupe, retries, and an honest ProxiesAPI integration for stability.

Fetch Shopee product pages through ProxiesAPI, extract title/price/sold count from HTML, and export results to CSV. Includes a screenshot + a production-ready fetch layer with retries.

Collect Scholar SERP pages into a clean dataset, handling pagination + lightweight anti-bot tactics.

Extract contract opportunity listings from SAM.gov: build a resilient scraper with pagination, retries, and clean JSON/CSV output. Includes a target-page screenshot and ProxiesAPI integration.

Build a sold-price dataset from Rightmove: crawl Sold House Prices results, paginate, fetch property pages, and export a clean CSV/JSON. Includes a target-page screenshot and ProxiesAPI integration.

Extract Numbeo cost-of-living tables into a structured dataset (with a screenshot), then export to JSON/CSV using ProxiesAPI-backed requests.

Extract Stack Overflow question lists and accepted answers for a tag with robust retries, respectful rate limits, and a validation screenshot. Export to JSON/CSV.

Crawl tag pages + question detail pages, extract accepted answers, and handle pagination + rate limits.

Build a repeatable Scholar scraper for queries + pagination, extracting title, authors, venue, year, and citation count. Includes anti-block hygiene and honest notes on limits.

Build a clean Rightmove sold-price history dataset with dedupe + incremental updates, plus a screenshot of the sold-price flow and ProxiesAPI-backed fetching.

Extract Patreon creator metadata, membership tiers, and recent public posts with a screenshot-first workflow, robust retries, and ProxiesAPI-backed requests.

Build a Rightmove Sold Prices scraper: crawl sold-property results, paginate, fetch property detail pages, and normalize into a clean dataset. Includes a target-page screenshot and ProxiesAPI integration.

Extract TripAdvisor hotel review text, ratings, dates, and reviewer metadata with a resilient Python scraper (pagination, retries, and a proxy-backed fetch layer via ProxiesAPI).

Scrape subreddit listing pages and comment threads with Python (requests + BeautifulSoup) using the old.reddit.com HTML, plus safe pagination, retry/backoff, and ProxiesAPI-friendly request patterns. Includes a screenshot.

Build a clean dataset of today’s NBA games and standings from ESPN pages using robust selectors and proxy-safe requests.

Extract Target product-page data (title, price, availability) into clean JSON/CSV with resilient parsing, retries/timeouts, and a ProxiesAPI-ready fetch layer. Includes a screenshot of the page we scrape.

Build a practical TripAdvisor scraper in Python: discover restaurant listing URLs, extract name/rating/review count/address, and export clean CSV/JSON with ProxiesAPI in the fetch layer.

Extract listing URLs and key fields (price, beds, baths, address) from Realtor.com search results with pagination, retries, and a ProxiesAPI-backed fetch layer. Includes selectors, CSV export, and a screenshot.

Pull rank, title, year, rating, and votes into clean CSV/JSON for analysis with working Python code.

Collect category pages and linked wiki entries into a structured index for research or monitoring.

Build a searchable dataset from the Python docs module index using Python and BeautifulSoup.

Extract headings and table-of-contents structure from MDN docs pages with Python and BeautifulSoup.

Fetch PyPI project pages and extract package metadata like version, description, and classifiers with Python and BeautifulSoup.

Scrape npm package pages to extract version, description, and package metadata with Python and BeautifulSoup.

A practical Stack Overflow scraper that collects questions from a tag page (e.g. web-scraping), follows pagination, extracts key fields, and exports to CSV/JSON.

Most scrapers fail because of networking, not parsing. Here are sane timeout defaults, a retry policy that won’t DDoS a site, and a drop-in requests/httpx implementation.

A production-grade Hacker News scraper: parse the real HTML, crawl multiple pages, extract stories and comment threads, and export clean JSON. Includes terminal-style runs and selector rationale.