#requests

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.

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.

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-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 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.

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

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.

Blocking failure modes + the exact checklist: fingerprints, rate limits, retries, proxy strategy, and soft-block detection — with practical examples you can copy.

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.

Build a daily dataset of iOS App Store top charts by country and category. Parse RSS/HTML endpoints into clean rows (rank, app id, name, developer), then enrich with metadata.

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 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.

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.

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.

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

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.

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

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 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.

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.

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.

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.

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

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 production-grade Vinted scraper: run a search, paginate results, fetch listing detail pages, and extract image URLs reliably. Includes a target-page screenshot and ProxiesAPI integration.

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.

Build a dataset from Vinted search results (title, price, size, condition, seller, images) with a production-minded Python scraper + a proxy-backed fetch layer via ProxiesAPI.

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).

Learn Cheerio by building a reusable Node.js scraper: robust fetch layer (timeouts, retries), parsing patterns, pagination, and where ProxiesAPI fits for stability.

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.

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).

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.

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

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

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.

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.

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 Yahoo Finance quote pages via ProxiesAPI, parse price + change + market cap, and export clean rows to CSV. Includes selector rationale and a screenshot.

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

Scrape GitHub repo pages as HTML (not just the API): stars, forks, open issues/PRs, latest release, and recent issues. Includes defensive selectors, CSV export, 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.

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.

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.

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

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

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

Target keyword: best free proxy list — compare free lists vs managed proxy APIs for reliability, retries, and production use.

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.

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 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.