Hi-lo @everyone I am Gowtham Boyina , an AI engineer who ships end-to-end, and writes docs developers actually enjoy reading and releasing the pressure of constantly keeping up with others this is my github: https://github.com/moah0911 feel free to checkout and follow this is my medium : https://thegowtham.medium.com/ , follow it , helps you keep up with other stuff , while you are focused on

I've been building scrapers on Apify that hand back clean, structured data instead of HTML — fast, and cheap to run (no browser, 256 MB). 💼 Jobs — any company's career page (Greenhouse, Lever, Ashby, Workday, SmartRecruiters…) plus LinkedIn search, all in one consistent format with remote/hybrid, seniority, skills and yearly salary. https://apify.com/tacps126/jobs-harvester ⭐ Trustpilot — reviews plus the company profile (TrustScore, reply rate, contacts), with sentiment and reply time on every review. https://apify.com/tacps126/trustpilot-reviews 🏢 Trade-show exhibitors — company, booth, email, phone, website and socials from 13 major shows. https://apify.com/tacps126/exhibition-scraper Find more here: https://apify.com/tacps126/

### Clean web data — fast and cheap to run ⚡ I build Apify Actors that hand you ready-to-use, consistent data, not raw HTML. They're written in **Rust**: tiny, instant to start, no browser unless a site needs one — so runs cost a fraction of a cent in platform usage. 💼 Jobs & hiring - [Job Board Harvester](https://apify.com/tacps126/jobs-harvester) — Greenhouse, Lever, Ashby, Workday, LinkedIn & more in one format - [Hiring Signals](https://apify.com/tacps126/hiring-signals) — which companies are hiring for the roles you sell to - Single-board: [Greenhouse](https://apify.com/tacps126/greenhouse-jobs-scraper) · [Lever](https://apify.com/tacps126/lever-jobs-scraper) · [Ashby](https://apify.com/tacps126/ashby-jobs-scraper) · [Workday](https://apify.com/tacps126/workday-jobs-scraper) · [LinkedIn](https://apify.com/tacps126/linkedin-jobs-scraper) 📇 Leads - [Contact Details Scraper](https://apify.com/tacps126/contact-details) — emails, phones & socials for any website list, or right after a Google Maps scrape - [Exhibition Exhibitor Scraper](https://apify.com/tacps126/exhibition-scraper) — exhibitors from 13 major trade shows ⭐ Reviews & e-commerce - [Trustpilot](https://apify.com/tacps126/trustpilot-reviews) · [App Store & Google Play](https://apify.com/tacps126/app-reviews) · [Shopify Products](https://apify.com/tacps126/shopify-products) 📰 News & social - [Google News](https://apify.com/tacps126/google-news) · [Reddit Monitor](https://apify.com/tacps126/reddit-monitor)

Hey everyone — I’m building ProxyClarity, a workload-first decision tool for choosing proxies and infrastructure. Instead of starting with a universal “best provider” list, it starts with the actual workload and requirements, then shows eligible options with pricing context, available evidence, and explicit unknowns. I’m currently looking for feedback from people who actually run scraping workloads — especially people using Crawlee, Playwright, Puppeteer or Apify in production. https://proxyclarity.com/proxies/use-cases/web-scraping/ I’d especially like to know: - which questions in the decision flow are actually useful - what important requirements are missing - whether the resulting shortlist makes sense - what would stop you from trusting the result Critical feedback is very welcome. Commercial relationships do not affect recommendation eligibility or ranking.

Need product data from Alibaba? Check out our new tutorial video and learn how to extract Alibaba product data with ease.

Hey Im Sama and I love to learn and work 😁

If you want someone passionate I am looking for employment 😁😁😁 or just a friend feel free to hmu

## New on Apify: B2B contact & profile data at launch prices We're new to the Store, so we priced low on purpose. Pay only for results, misses are free. No cookies, no LinkedIn account, no proxies Most used this week **LinkedIn Phone Number Finder**: profile URL → phone · $12 / 1k found **Reverse Email Lookup**: email → person, title, company · $3.20 / 1k **LinkedIn Email Finder**: profile URL → email · $8 / 1k found Prospecting **People Search**: title, company, industry, country + free counts · $0.95 / 1k **Company Employees**: everyone at a company · from $1.50 / 1k Profile Finder by Name & Company · $3.20 / 1k Enrichment **LinkedIn Profile Scraper**: full career history · $3.20 / 1k **Company by Domain**: domain → company profile · $5.50 / 1k Need bigger volume, a deeper discount or custom terms? DM me, happy to work something out

Hi, I’m a Senior Shopify Developer with several years of experience building, customizing, and optimizing Shopify stores. I specialize in Shopify theme development, Liquid, JavaScript, HTML, CSS, and custom Shopify functionality. I have experience working with product pages, landing pages, custom sections, Shopify apps, APIs, and third-party integrations. I’m also comfortable with performance optimization, SEO improvements, responsive design, and troubleshooting complex issues. I focus on writing clean, maintainable code and making sure the final result is both technically solid and user-friendly. I’m comfortable working independently, understanding business requirements, and turning them into practical solutions. I’m also experienced with AI-assisted development tools, which helps me work efficiently while maintaining code quality. I’m looking for a long-term opportunity where I can contribute my Shopify development experience and help build and improve high-quality e-commerce stores.

Hi, I’m a Senior Python Developer with over 9 years of experience in software development. I specialize in building scalable backend systems, REST APIs, automation solutions, and data-driven applications. I have strong experience with Python, FastAPI, Django, SQL, PostgreSQL, and cloud technologies. I’ve also worked with AI and LLM integrations, including building AI-powered applications and automation workflows. In addition to Python, I have experience with Java, Node.js, Docker, AWS, CI/CD, and distributed systems. I’m comfortable working across the full development lifecycle, from designing and implementing solutions to testing, deployment, and maintenance. I’m a problem solver who focuses on writing clean, maintainable code and building reliable solutions that provide real business value. I’m also comfortable working independently or collaborating with a remote team. I’m currently looking for an opportunity where I can use my Python and backend experience to build impactful products and contribute to a strong engineering team.

Hi, I’m Danilo, a Senior Java Developer with over 8 years of experience in software development. My main expertise is Java, especially with Spring Boot, REST APIs, microservices, SQL, and distributed systems. I have experience designing and developing scalable backend applications, integrating different services, and working with databases and cloud technologies. In my recent projects, I’ve worked on enterprise applications, backend systems, APIs, and AI-integrated solutions. I’m also comfortable working with Docker, AWS, CI/CD, Git, and modern development practices. I care about writing clean, maintainable code and building reliable solutions that solve real business problems. I’m also comfortable working independently or as part of a team, and I enjoy learning new technologies and improving existing systems. Overall, I would describe myself as a strong backend-focused developer with solid Java experience and a practical approach to solving complex technical problems.

Hello, Apify community! 👋 We are Records Data, a company of engineers specialized in data analysis and data extraction. Our team designs, builds and maintains production-grade scrapers and data pipelines that turn public web and API sources into clean, structured datasets. Our catalog covers finance and crypto, legal and public records, healthcare, e-commerce, gaming, sports, research, music and more. What we focus on: • Reliable data: every actor is verified on the Apify platform before release, with consistent schemas and clear output fields. • Ready to use: no setup required. Choose your input, run, and export to CSV, Excel, JSON or XML, or integrate through the API. • Built for scale: robust error handling, proxy-aware design and fair pricing, so you can run from a single query to large recurring jobs. • Long-term maintenance: we keep our actors up to date as sources change, and we act on user feedback. We work with analysts, developers, researchers and businesses that need dependable data without building and maintaining the infrastructure themselves. If you need a custom extraction or an actor for a source we do not cover yet, we would be glad to hear about it. 🔗 Apify profile: https://apify.com/RecordsData 🌐 Website: https://recordsdata.xvega.dev ✉️ Contact: contact.punkrecordsdata@gmail.com Thank you for reading. We look forward to collaborating with you. 🚀

Hey everyone! 👋 I'm devjoi on Apify — a software engineer working in fintech, recently diving deep into web scraping and automation. I just published my first Actor on the Store — ATS Jobs Scraper — which collects live job postings from company career sites across 6 ATS platforms (Greenhouse, Lever, Ashby, Recruitee, Personio & Breezy) and normalizes them into one clean dataset. Excited to be part of this community — happy to connect with other creators, and any tips are very welcome! 🙂 https://apify.com/devjoi

667 actors now. This batch rounded out a few workflows. Email pipeline: linkedin-email-finder (verified work email from a profile URL) + email-verifier (bulk SMTP + catch-all check). Find, verify, send. Primary-source records: us-business-entity-search (Secretary of State), dataroma (superinvestor holdings). TikTok vetting: fake-followers-checker + lookalike-finder. Also: 5 property portals (Boligsiden, Centris, Homes.com, RentCafe, Spitogatos), idealo (6 countries), Lowe's, Facebook Marketplace/ads-library/reviews, carmarket.ch + Nettiauto, Hirist + Unstop jobs, Google Hotels, Bing, plus a Social Metrics MCP server. B2B is the biggest category now at 130. https://muhamed-didovic.github.io

Two new write-ups from building data Actors on Apify, with the numbers and the method: - 38 of 40 online shops in Germany publish a valid VAT number: what a legal notice (Impressum) gives you, checked against VIES and Trusted Shops, and where a parser misreads it https://euroscrape.github.io/apify-actors/articles/16-impressum-40-shops.html - The median "PlayStation 5" on Kleinanzeigen costs 55 euros: three traps in second-hand price data https://euroscrape.github.io/apify-actors/articles/15-kleinanzeigen-price-traps.html (disclosure: each article uses one of my own Actors)

Hi, I’m Key, a Senior Shopify Developer with over 8 years of experience building, customizing, and optimizing Shopify stores. I specialize in Shopify theme development, Liquid, HTML, CSS, JavaScript, custom sections, third-party app integrations, and performance optimization. I’m comfortable working with existing codebases, troubleshooting issues, improving Core Web Vitals, and implementing custom features based on business requirements. I also have strong full-stack experience with Python and Java, which helps me handle more complex integrations, APIs, automation, and backend-related tasks when needed. I’m comfortable working independently, communicating with clients and teams, and taking ownership of projects from development through testing and launch.a

Hi, I’m a Python Developer with several years of experience building reliable backend systems, APIs, automation tools, and data-driven applications. I have strong experience with Python, FastAPI, Django, REST APIs, SQL, and cloud technologies. I’ve also worked with AI and LLM integrations, data processing, and automation, using tools like Pandas, NumPy, and Scikit-learn. I’m comfortable working with existing codebases, debugging complex issues, and building scalable solutions from development to production. I’m a proactive and detail-oriented developer who enjoys solving challenging problems and delivering clean, maintainable code.

Hi, I’m a Senior Java Developer with several years of experience building scalable, reliable, and maintainable software applications. My main expertise is Java and the Spring ecosystem, especially Spring Boot, REST APIs, microservices, SQL, and distributed systems. I have experience designing backend architectures, developing business-critical applications, integrating third-party services, and working with databases and cloud environments. I’m also comfortable with clean architecture, SOLID principles, CI/CD, Docker, Git, and Agile development. I focus on writing clean, maintainable code and building solutions that are reliable and easy to scale. I enjoy solving complex technical problems, improving existing systems, and working closely with teams to deliver high-quality products. I’m also interested in AI and modern development tools and use them to improve development efficiency and productivity.

## New on Apify: B2B contact & profile data at launch prices We're new to the Store, so we priced low on purpose. Pay only for results, misses are free. No cookies, no LinkedIn account, no proxies Most used this week **LinkedIn Phone Number Finder**: profile URL → phone · $12 / 1k found **Reverse Email Lookup**: email → person, title, company · $3.20 / 1k **LinkedIn Email Finder**: profile URL → email · $8 / 1k found Prospecting **People Search**: title, company, industry, country + free counts · $0.95 / 1k **Company Employees**: everyone at a company · from $1.50 / 1k Profile Finder by Name & Company · $3.20 / 1k Enrichment **LinkedIn Profile Scraper**: full career history · $3.20 / 1k **Company by Domain**: domain → company profile · $5.50 / 1k Need bigger volume, a deeper discount or custom terms? DM me, happy to work something out

https://apify.com/coding-doctor-omar/adidas-scraper Adidas Product & Reviews Scraper | Full Product Details, Deep Details for All Variants, All Media, User Sentiment, Reviews, Akamai Sensor Bypass 🔥 The most comprehensive and reliable Adidas Scraper on Apify for BOTH products and reviews. The only Adidas scraper that reliably bypasses Akamai anti-bot protection 🔥. Scrape product prices, all variants, SKUs, all media, user sentiments, all reviews, and more from 12 supported Adidas store countries. Configure your favorite searches on the Adidas website and just dump the URLs to this powerful scraper. Alternatively, provide direct product URLs. (27+ main fields/product & 21+ fields/review).

Hey everyone! 👋 Sharing two Apify actors we built for lead generation: 📍 Google Maps Scraper: Extract business details, websites, and available emails. From $2.50/1,000 results, with emails included. 🔎 Sales Navigator Scraper: Export leads from a Sales Nav search URL, no cookies required. From $3/1,000 leads, with optional email enrichment. Give them a try! Happy to answer questions and hear your feedback.

## New on Apify: B2B contact & profile data at launch prices We're new to the Store, so we priced low on purpose. Pay only for results, misses are free. No cookies, no LinkedIn account, no proxies Most used this week **LinkedIn Email Finder**: profile URL → email on record, ~90% hit rate on bulk lists · $8 / 1k found **LinkedIn Phone Number Finder**: profile URL → every number on record, US · $12 / 1k found **Company Employees**: domains in, current staff out, 230k rows pulled by one user this week · from $1.50 / 1k Prospecting **People Search**: title, seniority, employer, industry, country + free segment counts · $0.95 / 1k **Decision Maker Finder**: domain → founders, C-level, VPs · $3.20 / 1k **B2B Leads Finder**: ICP in, leads with a live email out · from $1.50 / 1k Enrichment **LinkedIn Profile Scraper**: full career history · $3.20 / 1k Profile Finder by Name & Company · $3.20 / 1k **Reverse Email Lookup**: email → person, title, company · $3.20 / 1k **Company by Domain**: domain → company profile · $5.50 / 1k Need bigger volume, a deeper discount or custom terms? DM me, happy to work something out

New write-up, with the method and the numbers: Fridays cost 25% more than Mondays on Ryanair. I read the November fare calendars of three routes with my Ryanair Actor (one way, euros), put the 74 fares on one scale (each divided by its route's median) and grouped them by weekday: Friday 1.25, Thursday 1.11, Saturday 0.94. Also what a floor-fare route looks like (Bergamo to Stansted: the same fare on 16 of 30 days, 5.6x on All Saints' Day) and a route that came back empty. Ratios and the input JSON, not price lists: https://euroscrape.github.io/apify-actors/articles/17-ryanair-fridays.html (disclosure: uses my own Actor)

Hi, I'm a Senior Shopify Developer with over 8 years of experience building, customizing, and optimizing Shopify stores. I specialize in Shopify Liquid, HTML, CSS, JavaScript, theme development, custom sections, app integrations, and storefront performance optimization. I have experience developing responsive, user-friendly e-commerce websites, improving Core Web Vitals, optimizing conversion rates, and troubleshooting complex Shopify issues. I'm also comfortable working with existing codebases, implementing Figma designs, and integrating third-party APIs and applications. I focus on writing clean, maintainable code and delivering high-quality solutions that help businesses grow. I'm a proactive and reliable developer who can work independently, communicate clearly, and collaborate effectively with remote teams. I'm always ready to take on new challenges and help clients improve their Shopify stores.

@King just advanced to level 1! Thanks for your contributions! 🎉

Hi, I'm a Senior Java Developer with over 7 years of experience in software development. My main expertise is Java, Spring Boot, REST APIs, and microservices. I have strong experience building scalable backend systems, designing APIs, integrating databases, and developing reliable enterprise applications. I'm also familiar with Python, cloud services, Docker, CI/CD pipelines, and AI integrations. I focus on writing clean, maintainable code, solving complex technical problems, and improving application performance. I enjoy working with cross-functional teams, learning new technologies, and taking ownership of projects from development to production. I'm comfortable working independently in remote environments and collaborating with teams to deliver high-quality software.

New beginner-friendly walkthrough: Apify step by step, from picking an actor to getting a table of data (with the limits to know: anti-bot blocks, site terms, GDPR). Hope it helps anyone who still copies listings by hand. https://dev.to/0xgollum/apify-step-by-step-how-to-automate-web-data-collection-no-code-needed-18cf

Three new company-level lookups on the Store, all by website domain. New on the Store, no cookies, no LinkedIn login, and a miss costs nothing: you pay only for rows where we found something * - Company Email Format Finder.* The pattern (first.last@, flast@, first@) derived from real employee addresses on record, not guessed from a name. Each row says how many people confirm it, the agreement and masked samples. $0.02 per domain with a confirmed format; weak or empty domains are free. The busiest pattern Actor on the shelf charges $0.10 and guesses https://apify.com/b2bsearch/company-email-format-finder * - New Hires Finder.* Who joined a company in the last N months, with title, start month, seniority, LinkedIn URL and the employer they came from on the same row. $3.20 per 1,000 new hires. On Stripe: 25 hires in 30 seconds, 24 with the previous employer ** - Lookalike Company Finder. **Companies in the seed's industry, country and size band, with headcount, HQ, LinkedIn URL and last funding round. Every row says what it matched on, no opaque score. $1.50 per 1,000 companies All three work as MCP tools (Claude, ChatGPT, Cursor via mcp.apify.com) and as steps in n8n, Make and Zapier. Tell us what's missing.