Apify published a case study on Adside's AdsSpy tool, which scrapes live ads from three ad libraries and processed all 6,055 Y Combinator companies overnight for under $200.
Apify published a benchmark comparing Crawl4AI with its Website Content Crawler across quality, speed, and cost on a dataset of 1,000 Shopify help pages.
Apify published a guide on collecting Clutch.co data despite its blocking measures and explains how paid placements skew agency rankings.
Apify published a blog post covering six approaches to gathering data for AI model training, along with the trade-offs of each.
Apify published a tutorial on constructing a Python pipeline that uses retrieval-augmented generation to answer questions from PDFs and cite the source page.
Apify published a guide on using its platform to create a custom API for Dun & Bradstreet company data, targeting users who want to bypass expensive enterprise agreements.
Apify published a benchmark comparing Tavily and its own RAG Web Browser for retrieval in RAG pipelines.
Apify publishes a blog post detailing the phenomenon of model collapse in AI models and how incorporating real web data can mitigate it.
Apify released a tool to scrape Apartments.com listings at scale and integrate them with ChatGPT for interactive market reports.
Apify published a guide covering six techniques for downloading Instagram images, ranging from a simple browser trick to a two-Actor pipeline for full profile extraction.
Apify's blog explains how to use its platform to scrape AliExpress category pages on a schedule and log results into Google Sheets without writing code.
Apify published a tutorial on scraping websites into LlamaIndex, updating indexes without re-embedding unchanged pages, and preventing partial crawls from deleting existing pages.
Bright Data's blog explores the use of publicly available web video as a source of training data for robotic AI systems.
Bright Data's blog outlines routines for using Claude Code to streamline web data extraction workflows.
Browserless has announced a new capability for extracting structured data from web pages.
Crawlbase announced a service that uses its Crawling API to fetch cited web pages and verify whether quoted passages actually appear on the page.
Crawlbase compares seven Firecrawl alternatives on rendering, anti-bot success, pricing, and MCP support.
Crawlbase released a blog post titled 'The Web Scraping Cookbook' that includes success rate, median answer, credit price, browser and country metrics measured on real traffic for 356 sites.
Crawlbase published a guide explaining how to split web retrieval from Zapier's execution window by dispatching async crawls with a callback and catching the finished page in a second Zap.
Crawlbase published a blog post detailing a method for incremental RAG indexing that uses scheduled recrawling, content hashing, and selective re-embedding via webhooks and pgvector.
A developer blog post on Hacker News highlights Meta's Muse as an effective tool for web scraping.
Firecrawl has introduced a new scraping capability called Universal Scrape, as detailed in a blog post on their site.
Firecrawl published a blog post about handling logged-in pages with the Mastra browser.
Firecrawl has released a new OCR feature that uses AI agents to extract structured data from images and documents.
Firecrawl announced two new tools, Anydoc and PDF Inspector, aimed at improving document and PDF data extraction.
Firecrawl announced the launch of a Research Index tailored for the life sciences domain.
Firecrawl, a web scraping and data extraction platform, published a blog post discussing the security threat of prompt injection.
Firecrawl's blog details how sales automation startup 11x uses its web scraping API to automate prospect research.
Firecrawl released a blog post introducing a Government Legal Index, a resource likely indexing legal documents or government-related legal data.
Firecrawl has launched an official ChatGPT plugin, enabling users to extract web data directly through conversational AI.
Google is rolling out new /goto redirect URLs across Search, and SerpApi is actively resolving affected links as the implementation evolves.
Scrapfly's blog post examines the newly released official Google Trends API, its coverage and limitations, and compares it with existing alternatives like pytrends and managed scrapers.
A Berlin outbound agency describes how it relies on Apify to discover and verify prospects that traditional B2B databases do not cover.
Oxylabs released a blog post detailing methods for extracting product information from Amazon.
Oxylabs released a blog post explaining semantic chunking, a technique for splitting text into meaningful segments to improve data extraction and parsing.
Apify reports that ParseForge, a team of four, has built 2,000 Actors on its platform, far surpassing its original goal of 1,000 by 2027, with its Actor Factory now producing a new Actor in about an hour.
Scrapfly published a blog post comparing seven e-commerce product data APIs by access model, covering storefront catalogs, marketplace listings, and seller-only operations feeds.
Scrapfly published a comparison of eight financial data APIs covering workload, delivery method, history depth, entitlement, and redistribution licensing.
Scrapfly published a blog post reviewing eight official social media APIs covering posts, video, communities, research, professional data, and federated networks.
Scrapfly published a comparison of four X scraper repositories that still work in 2026, evaluating them on coverage, account requirements, maintenance, and infrastructure burden.
Scrapfly published a fixture-based comparison of HtmlAgilityPack and AngleSharp, covering XPath versus CSS selectors, malformed markup handling, and DOM behavior.
A new blog post from Scrapfly evaluates seven tools for testing, generating, and debugging XPath and CSS selectors in web scraping workflows.
Scrapfly published a blog post benchmarking six local business data APIs by data model and access methods.
Scrapfly published a guide evaluating six real estate data APIs across property listings, valuations, parcels, zoning, and neighborhood scores, with advice on when to scrape public portals instead.
Scrapfly published a blog post detailing techniques for maintaining session state in Scrapy, including cookie jar isolation, JOBDIR resume, and Playwright authentication across restarts.
Scrapfly's blog post surveys nine e-commerce scraping tools for developers, covering retrieval, extraction, browser automation, and discovery layers.
Scrapfly released a layer-by-layer guide covering fingerprint and bot detection tools, explaining what detectable results mean and how to fix each leak.
Scrapfly released a blog post detailing how to scrape Airbnb search results, listing details, prices, reviews, and availability using Python and its own scraping platform.
Scrapfly released a blog post detailing how to extract DHL parcel tracking status and shipment events using Python, including XHR analysis and API usage.
Scrapfly released a tutorial showing how to extract full Google Play app reviews, ratings, and metadata using Python, bypassing the typical few-hundred-review limit of free libraries.
Scrapfly released a blog post detailing how to scrape Lowe's product, price, search, and store location data using embedded page state and their maintained Python scraper.
Scrapfly released a tutorial covering how to extract Marriott hotel prices and availability using Python, including bypassing Akamai bot protection.
Scrapfly released a blog post tutorial explaining how to scrape Pinterest data including pins, boards, profiles, and images using Python and the platform's hidden resource API.
Scrapfly released a tutorial on extracting pricing, stock, specifications, and datasheet links from RS-Online's North American listings and product pages.
Scrapfly released a blog post detailing techniques for scraping Shopify stores, covering endpoints like products.json, JSON-LD structured data, response classification, and fallback strategies.
Scrapfly's blog post details how to scrape DigiKey pricing, stock, and parametric specs while navigating its Cloudflare challenge, and compares this approach to using the official API v4.
Scrapfly released a blog post walking through the process of scraping Kayak flight search results using its own SDK, covering JavaScript rendering and parsing internal poll JSON.
Scrapfly released a blog post detailing how to extract product and pricing data from Target.com using the internal Redsky API while handling store-keyed prices and PerimeterX anti-bot defenses.
Scrapfly released a technical walkthrough covering proxy authentication, rotation, and residential proxies in Python Selenium, including workarounds for Chrome credential dropping.
Scrapfly released a tutorial covering techniques for extracting book data, ratings, and reviews from Goodreads using JSON-LD, Next.js Apollo state, and CSS selectors.
Scrapfly released a blog post showing how to scrape Capterra software reviews using Python, its own scraping API, and Cloudflare bypass features.
Scrapfly released a blog post demonstrating how to scrape Goibibo hotel and flight prices using Python, their own ASP solution, India geo-targeting, and browser sessions.
Scrapfly released a blog post showing how to scrape Google Jobs listings using Python and its own scraping platform.
Scrapfly released a blog post teaching how to extract headlines, authors, dates, and bodies from news sites using Newspaper4k, RSS, sitemaps, and techniques for handling JavaScript rendering and anti-bot systems.
Scrapfly released a blog post showing how to extract flight data from Skyscanner by constructing deep-link URLs and capturing itinerary JSON from the rendered page.
Scrapfly published a ranked list of seven lead scraping tools covering no-code extensions and production APIs, with honest assessments of each tool's limitations.
Scrapfly published a comparison of six open-source Instagram scrapers for 2026, covering auth models, ban risk, and maintenance status.
A ScrapingBee blog post advocates for a cascade strategy that uses local extraction methods before resorting to a language model for zero-shot e-commerce scraping.
A ScrapingBee blog post recaps a talk from OxyCon 2026 that argues many scraping tasks requiring JavaScript can be handled by executing only the necessary scripts and building the DOM, without launching a full browser.
ScrapingBee published a guide comparing eight Python web scraping tools, covering parsers, browser automation, crawling, proxies, and full-stack scraping services.
ScrapingBee published a blog post comparing 11 retrieval-augmented generation frameworks, covering their versions and capabilities for document loading, splitting, indexing, and retrieval.
ScrapingBee published an article defining CAPTCHA solvers, how they automate challenge responses, and when developers should skip them in scraping workflows.
ScrapingBee published a guide on handling Google's /goto redirect URLs and the opaque CAES tokens they carry in search results.
ScrapingBee published a blog post examining the failure points in retrieval stages of open-source deep research systems like Local Deep Research, gpt-researcher, and LangChain agents.
ScrapingBee has released an Agentic Employee Search API that accepts natural-language queries to find relevant employee profiles, eliminating the need for manual filtering or complex search parameters.
ScrapingBee has introduced a new API endpoint that extracts structured product data from Shopee pages, handling rendering, anti-bot measures, and parsing on behalf of the user.
ScrapingBee released a blog post outlining four methods for building a Python flight scraper, recommending a managed scraping API to bypass anti-bot measures.
ScrapingBee released a tutorial explaining how to avoid triggering CAPTCHAs when using Selenium in Ruby by reducing automation signals and using better IPs.
ScrapingBee's blog post explains how to scrape Swiss real estate portal Immoscout24.ch, noting its internal JSON API, CAPTCHA protections, and terms of service that forbid automated access.
ScrapingBee's blog post explains how to scrape TCGplayer while noting the site's Terms of Service discourage scraping and that JavaScript rendering complicates simple requests.
ScrapingBee released a tutorial covering how to extract public menu items and prices from Uber Eats, noting the platform's JavaScript rendering and terms of service restrictions.
ScrapingBee released a tutorial covering how to extract all text from a website for use in LLM training pipelines.
ScrapingBee released a blog post walking through the full pipeline for a job aggregator, from sourcing and normalizing to deduplication and freshness management.
ScrapingBee released a tutorial showing how to use Playwright and Tesseract.js in Node.js to extract text from webpage screenshots via OCR and convert it to structured JSON.
ScrapingBee released a tutorial demonstrating how to use Playwright, a UI-trained YOLO model, and OCR to scrape data from web pages based on visual rendering rather than HTML markup.
ScrapingBee released a guide explaining how to scrape Algolia search results by targeting the search endpoint directly instead of parsing HTML.
ScrapingBee published a blog post walking through the implementation of a self-reviewing code generation loop where an LLM writes extraction code, runs it against real HTML, checks the output, and revises the code on failure.
Scrapingdog released a tutorial showing how to scrape Apple App Store search results, including app rankings, ratings, and developer data, using Python and its own scraping API.
SerpApi announced a new Airbnb Search API endpoint that returns listing names, review counts, badges, and prices from a single request.
SerpApi introduced the Extract API, a service that converts any public web page into structured JSON or Markdown for use in applications, AI agents, or automation workflows.
SerpApi ran three identical queries through SerpApi, Tavily, Exa, and Firecrawl and compared markdown output location, token cost, and downstream model answer quality.
SerpApi released a case study detailing how a lead generation company used its Google Maps API to scale lead discovery.
SerpApi released a tutorial showing how to scrape Zillow real estate listings using its API with multiple programming languages.
SerpApi published a blog post detailing how converting JSON data to Markdown can reduce token consumption in AI SEO analysis pipelines by up to 90%.
SerpApi released a blog post detailing how to parse the various absolute and relative date and time formats used in Google Search results.
SerpApi released a blog post showing how to use the eBay Seller API to extract product catalogs, feedback, and promotions as clean JSON.
SerpApi released a blog post explaining how to use its API to extract flight prices, routes, airlines, layovers, and price insights from Google Flights as JSON or Markdown.
SerpApi released a blog post explaining how to use its API to extract Google Play Store search results, home pages, and app listings as structured JSON or Markdown.
SerpApi released a tutorial showing how to use its Walmart Product Reviews API to extract ratings, review text, feedback counts, and reviewer details in structured JSON and export to CSV.
SerpApi released a blog post demonstrating how to use its API to extract YouTube channel metrics for competitor research and content strategy.
SerpApi has published a guide covering popular web scraping tools, from open-source frameworks like Scrapy and Crawlee to commercial scraping platforms and search APIs.
SerpApi released a blog post demonstrating how to combine its search API with OpenAI's Decisions API to filter remote job listings based on user preferences.
SerpApi published a blog post detailing its 97.6% accuracy score on the SimpleQA Verified benchmark using Google search data and its Extract API.
SerpApi published a blog post demonstrating how to use local language models alongside its API to categorize and analyze competitor app reviews from the Apple App Store.
SerpApi published a blog post demonstrating how its Markdown output and JSON Restrictor can increase the amount of web search data fed into local LLMs within a fixed context window, tested on four models in LM Studio.
Zenrows published a tutorial demonstrating how to scrape 2026 FIFA World Cup data from a JSON endpoint behind JavaScript, an API with per-session JWT, and server-rendered HTML using Python and its own scraping API.
Zenrows published a blog post comparing ATTOM, Cotality, CoStar, RentCast, Datafiniti, PropertyData, and Zenrows on data depth, coverage, refresh, delivery, formats, and pricing.
Zenrows introduces Crawl, a web crawler API that takes a public URL, follows links to a user-specified depth, and returns all discovered URLs along with optional HTML content.
Zenrows published a blog post announcing its official plugin for Dify, which adds Fetch, Extract, and Batch capabilities to the platform's tool picker.
Zenrows outlines how to source clean web data for LLM fine-tuning, warning that a single bad extraction can measurably degrade a small seed set.
Zenrows released a blog post detailing a Python scraper for Indeed that collects job search results, descriptions, and structured salary data, tested in October 2026.
Zyte announced a new extraction mode in its API that converts web page main content directly into clean, structured Markdown.
Zyte published a blog post describing a Scrapy pipeline that uses a fast, calibrated AI model to check each scraped field for realism and halt the crawl when too many fields fail the check.
Zyte published a guide on using Playwright to render dynamic content within a Scrapy workflow.
Zyte published a blog post comparing seven approaches to converting web pages into Markdown, covering their strengths and weaknesses for training, RAG, and agent use cases.
Zyte's blog examines Jev by TypeFace AI, a model that cannot generate strings, and considers its potential role in a scraping pipeline.
Zyte published a blog post summarizing five takeaways from the Extract Summit 2026 in Austin, focusing on AI's role in web scraping and the enduring importance of data quality, provenance, self-repair, access, and responsibility.
A new analysis from Zyte reveals that nearly half of the top websites require JavaScript execution to render their content, making them inaccessible to simple HTTP scrapers.
Zyte published a personal benchmark comparing Claude Fable 5.1 and GLM-5.3-Flash on real extraction tasks, revealing that the GLM model matched a model the author had previously encountered.