Selenium Jobs

Project Description We are looking for an experienced Python Web Scraping / Automation Developer to help us build an internal marketplace competitive analytics system. The goal is to automatically collect publicly available product data from Uzum and Yandex Market and generate structured analytical reports (Excel / internal dashboard) for business and marketing analysis. Scope of Work Build a data collection system for competitor product pages Work with public product card URLs only (no full catalog crawling) Extract and normalize product data per SKU (flavor + volume) Marketplaces: Uzum (simpler, mostly HTML / embedded JSON) Yandex Market (complex, JS-heavy, anti-bot protected) Data to Extract (per product) * Brand * Product name * Flavor (from title or attributes) * Volume / unit (e...

I need a lightweight Windows-based application that can interact with a specific website entirely in the background—no browser window or UI should ever be visible. The software must: • Log in with a stored username and password • Navigate through the site, click the necessary elements, submit forms, and collect the returned data • Solve any CAPTCHA the site presents automatically (an API such as 2Captcha, Anti-Captcha, or a comparable service is acceptable) • Return the scraped information in JSON or CSV so it can be consumed by another process A simple tray icon, CLI, or service is fine; the key requirement is headless operation with reliable error handling. Source code and a compiled executable are both expected so I can run the tool on multiple machines...

I need a reliable script that logs into Placementindia and pushes my vacancy details without any manual input. The tool should store template data, fill every required field, submit the form, and then confirm success so I can see at a glance what went live. Inside a small, browser-based dashboard I want two key abilities: • schedule automation so I can decide the exact days and times each role goes out • one-click “auto post” that instantly publishes a job when I hit the button The posting frequency isn’t fixed; some days I may blast several openings, other weeks none at all, so the scheduler has to respect whatever plan I set. Use whichever method makes the process most stable—headless browser automation (Puppeteer, Playwright, Selenium) or direc...

Complete Lottery Prediction and Betting Automation System (Focused on Loterías y Apuestas del Estado - Spain) 2. System Features 2.1. Historical Data Collection and Update The system must automatically download complete historical results (drawn numbers, draw dates, prize breakdowns by category, accumulated jackpots) from the first draw of each lottery, directly from or reliable associated sources. Specific sources: Euromillones: (since Feb 13, 2004) La Primitiva: (since Oct 17, 1985 – modern version) El Gordo de la Primitiva: (since Oct 31, 1993) Updates automatic at exactly 00:02 the day after each draw, using ethical scraping (BeautifulSoup/Scrapy) with proper user-agent headers to mimic human behavior. Store data in PostgreSQL (structured) or MongoDB (flex...

I need a small, Windows-friendly Python script that will open a real browser with Selenium and wipe large batches of content from my X (Twitter), Facebook, and Instagram accounts. Because my X account sits on the free API tier I keep running into 403 errors, so this project must rely solely on browser automation—no official APIs or paid third-party tools. Here’s what I’m after: the script launches from the command prompt, asks for (or reads from a .env) my login credentials, signs in, and then iterates through all visible posts, tweets, and reels, deleting each one until none remain or until it hits an optional stop condition such as a date or a post count I can set. A simple console printout like “Deleted tweet #42” is enough for logging; I don’t need ...

IM TYRING TO RUN THE ATTACHED JPNY SCRIPT TO GET INFO FROM A WEBSITE BUT I CANT UNDERSTAND IT DOESN'T WORK. I NEED THIS SCRIPT TO BE FIX + PAGINATION TO FETCH AROUND 2400 RECORDS FOR YELLOWPAGES I ONLY USE JUPYTER

I’m looking for a data engineer who can take full ownership of a daily web-scraping workflow aimed at ongoing market research. The job centers on extracting selected data points from public web pages, transforming them into a clean, structured format, and making them available for analysis every 24 hours. Here’s what I need you to handle from end to end: • Source acquisition – fetch HTML from the URLs I provide, even when content is hidden behind JavaScript (a headless browser such as Playwright or Selenium is fine). • Parsing & cleansing – pull the specific fields I’ll list (product name, price, SKU, availability, and a time-stamp), remove duplicates, and standardize values. • Storage & delivery – load the daily output into ...

I need the entire contents of a specific website captured in a single pass. That means every piece of on-page text, all publicly visible image files, and every internal or external hyperlink. Once scraped, the information should be organised into a clean CSV file—one row per page—with columns for page URL, full body text, image file names, and link destinations. Please download the images themselves as well and bundle them in a separate folder (a simple ZIP is fine); the CSV should reference the exact filenames so everything lines up. I’m happy for you to use Python with BeautifulSoup, Scrapy, Selenium or whichever stack you prefer, as long as the final output meets these acceptance criteria: • Complete CSV containing text, image names, and link URLs for each ...

I am looking for a Python developer to create a simple and focused scraper script for Facebook Marketplace. Project Idea: The script will open a single Facebook Marketplace seller page and: • Extract all product links belonging to that seller only • Ignore any other data (no names, no prices, no images) • The final output should be a list of links only • Each product link on a separate line (link under link) Exact Requirements: • Input: Facebook Marketplace seller page URL • Output: • A file containing all product URLs for that seller • File format: TXT or CSV • Handle infinite scrolling to load all products Technical Requirements: • Python • Selenium or Playwright • Experience with dynamic websites • Clean, ...

I need a reliable scraper that monitors every basketball league listed on Bet365 () if accessing that is an issue you can use The script must do two separate pulls for each game: Objective 1 • Run #1 – as soon as Bet365 publishes the starting lineup. • Run #2 – again on game day, no later than one hour before tip-off. For each run, capture Teams and scores, all published lineups and odds, plus the Q1 Total, full Quarter and Half statistics as soon as they appear. The goal is to analyse how the line and odds move between the first and second snapshot, feeding a broader betting-strategy model, so accuracy and time-stamping are essential. Store everything in a structured database of your choice (PostgreSQL or MySQL are fine). The tables must let me query: • ...

I need a small automation script that periodically checks item availability on the Bigbasket website and pings me on Telegram the moment any of the tracked products come back in stock. You are free to choose the underlying tech stack (Python + Requests/BeautifulSoup, Selenium, Playwright, or a headless browser of your choice) as long as it works reliably with Bigbasket’s current site layout and protects my account from rate-limit blocks or captchas. The flow I have in mind is straightforward: I feed the bot a list of product URLs (or SKUs). It runs on a schedule I can change—every few minutes during peak shortages, maybe every hour otherwise—grabs the stock status, and fires a concise Telegram message whenever the status flips from “Out of Stock” to “Av...

I need every public phone number that appears on gathered into a single, well-structured Excel workbook. Please crawl the entire site, not just a few sections, and return each number alongside the key profile details that make the data usable at a glance—name, profile URL, and any other easily captured identifiers shown next to the number. A clean .xlsx with one row per profile, no duplicates, and clearly labelled columns is the only deliverable I’m expecting. If you prefer Python, Scrapy, Selenium, Beautiful Soup or a comparable stack, go ahead; I’m interested in results, not the specific toolset, as long as the script can be rerun later should the site content change. Before delivery, double-check that: • every row contains a valid phone number and url • n...

I need a reliable scraper that monitors every basketball league listed on Bet365 (). The script must do two separate pulls for each game: Objective 1 • Run #1 – as soon as Bet365 publishes the starting lineup. • Run #2 – again on game day, no later than one hour before tip-off. For each run, capture Teams and scores, all published lineups and odds, plus the Q1 Total, full Quarter and Half statistics as soon as they appear. The goal is to analyse how the line and odds move between the first and second snapshot, feeding a broader betting-strategy model, so accuracy and time-stamping are essential. Store everything in a structured database of your choice (PostgreSQL or MySQL are fine). The tables must let me query: • first-pull values • second-pull val...

I need a senior-level specialist to harvest product data from several e-commerce sites and deliver it in a single, well-structured CSV file. The task demands production-ready techniques—think Scrapy spiders hardened with rotating proxies, Selenium or Playwright for dynamic content, and solid anti-bot countermeasures. The information I’m after is very specific: product names, prices, pictures, and SKU. Nothing less, nothing more. Your solution must run reliably at scale, cope with frequent layout changes, and leave no trace that could trigger blocks. Python is the preferred stack, but if you have a proven alternative that meets the same bar, I’m open to hearing it. To be considered, include in your proposal: • At least one example of a comparable e-commerce scrapi...

I need a web-based automation that can reliably scan VFS Global’s calendar, pick the earliest available slot that matches preset criteria, complete the booking flow end-to-end, and confirm the reservation—no manual clicks from our side. Core scope • Appointment scheduling is the heart of the build. The script or service must log in with rotating credentials, pass the usual captcha / queue hurdles, search by mission and visa type, then lock the chosen slot before it disappears. • A notification system is also essential. As soon as an appointment is secured (or fails), the system should push an email and, if possible, a Telegram or SMS alert to our team. Access & roles Only Admins—our internal staff—will use the interface. A straightforward d...

I’m looking for a well-structured Python solution, built around BeautifulSoup (BS4) and any supportive libraries you deem essential, that reliably pulls both product details and customer reviews from Lazada on a daily schedule. The data will fuel ongoing competitor research, so consistency and clarity of the output are critical. I looking specifically to get data using bs4 by bypassing the captcha Here’s how I picture the flow: • Input: category URL(s) or product list I supply in a CSV/JSON. • Scrape: title, price, promos, specs, images, ratings, full review texts, review dates, and reviewer scores. • Output: clean CSV or JSON dropped into a dated folder after each run. Make the script easy to tweak if Lazada changes its markup. Acceptance criteria 1. S...

I need to build a reliable, well-structured lead list and I already know exactly what it should contain. The task is to extract contact information—email addresses, phone numbers and full mailing addresses—from three sources: company and organisation websites, their public social-media profiles, and well-known online directories. I expect the data to be gathered with a solid scraping workflow (Python, Scrapy, BeautifulSoup, Selenium or an equivalent stack is fine) and then verified so that bounced emails and dead numbers are kept to an absolute minimum. Deliverables • One CSV or Excel file with separate columns for name, company, job title, email, phone, street address, city, state, ZIP/postcode, country, source URL and date collected. • No duplicates; every...

I have a data-analysis pipeline that relies on a steady flow of fresh product images from a well-known e-commerce site. What I need is a robust scraper that can navigate the catalog, collect every product’s main and variant images, and deliver them to me neatly organized. Key points you should know: • Target: a single e-commerce platform (URL supplied after award). • Payload: high-resolution image files plus a CSV/JSON map linking each file to product ID, title, price, and category text that you extract during the same run. • Scale: thousands of products per crawl; a resumable approach is essential so partial failures don’t force a full restart. • Frequency: I’ll trigger the crawl weekly, so reusable code is a must. I’m happy with Pytho...

Hello, I am looking for a professional translator who can accurately and naturally translate Japanese content into English. The ideal candidate will have experience in translating business, technical, or creative content and can maintain the original tone and meaning while producing fluent, high-quality English text. Project Requirements: Translate Japanese text into clear, accurate, and natural English Maintain the original tone, style, and nuance of the Japanese content Ensure proper grammar, punctuation, and formatting Deliver translations on time and communicate proactively if there are any questions Qualifications: Native or near-native English proficiency Proven translation experience with samples or portfolio preferred Attention to detail and commitment to high-quality work Addi...

I need a reliable way to pull data from Facebook Marketplace seller pages at scale. The target platform is Facebook; other marketplaces such as eBay, Amazon or Etsy are irrelevant for this job. Here’s what I’m after: when I paste one or many seller profile URLs into your script or small desktop app, it should crawl every public listing on those pages and export the results to CSV or Google Sheets. I mainly care about item title, price, description, photos (image URLs are fine), posting date, item location and the seller’s profile link so I can trace each record back to its source. If you can collect additional fields that Facebook exposes, even better—just keep everything neatly labelled. No hard requirement on the stack: Python with BeautifulSoup / Selenium, ...

I am looking for an experienced developer with strong expertise in Python and web automation to build a smart system for monitoring ticket availability and event updates on the Webook platform. The system should focus on automation, notifications, and usability while following best technical and compliance practices. Scope of Work • Develop a Python-based automation system to monitor events and ticket availability. • Send real-time notifications when: • New events are published • New ticket batches become available • Build a clean and user-friendly dashboard to: • Manage monitoring settings • Control alerts and configurations • Implement structured and scalable automation logic. • Ensure the solution is maintainable and adaptable to f...

For an upcoming market research study, I need a fully-automated workflow that gathers and enriches data from well over 500 LinkedIn profiles. The automation should locate the profiles that match criteria I will provide, pull the key public details, then append reliable off-platform contact information so I can reach those professionals directly. Please design the script or low-code sequence with any reliable stack you prefer—Python, Selenium, PhantomBuster, Sales Navigator API, or comparable tools are fine as long as the method is repeatable and respects rate limits. Deliverables • CSV/Excel file containing one row per person with: – Current job title – Company name – Verified email (and phone, when available) • Source code or workflow fi...

Project Description We're looking for an experienced developer to build a fully automated poker bot that can play in free online poker tournaments (play-money / freerolls). This is a research and hobby project — not for real-money play. The system needs to combine game theory optimal (GTO) strategy with exploitative adjustments based on an expert human player's decision-making framework that we will provide. The bot should be able to join a table, read the game state visually, make decisions, and execute actions — all autonomously. What We're Building (3 Core Systems) 1. Poker Decision Engine (The Brain) Implement a GTO baseline strategy using frameworks like OpenSpiel, PokerRL, or equivalent Build an exploitative layer on top that adjusts based on opponent tend...

I Need an Advanced Automation Developer – Redirect-Based Booking Bot (Goethe, Wicket Apache, COE Session Handling) For Goethe Booking like Chennai and Bangalore I am looking for a high-level automation/bot developer who has experience with: Wicket/Apache-based web applications Multi-step redirect chains COE session initialization & dynamic token handling ColdFusion (CFID/CFTOKEN) & JSESSIONID flows Cookie extraction & accurate replay of Set-Cookie across redirects Chrome CDP automation / Playwright / Puppeteer High-speed DOM watching (DOMWatcher / MutationObserver) Proxy rotation & session isolation --- Project Goal Build a bot that can open the “Select Modules / Book” page reliably during Goethe exam seat drops, even when: normal browser at...

I need a developer to collect data from multiple public websites and deliver it in a clean, structured format. This is for legitimate data extraction from publicly available pages. I will share the target URLs and exact data fields with shortlisted candidates. Scope of work Scrape data from multiple public websites (details shared after shortlisting) Extract specific fields consistently and handle pagination/filtering where needed Normalize/clean the data (remove duplicates, consistent formatting) Export results to CSV/Excel/JSON (format to be confirmed) Provide a repeatable solution (script or small app) that I can run on demand Basic documentation: how to run it, how to adjust settings, where outputs go Quality requirements Reliable scraping with error handling and retries Resp...

I have an urgent need for a clean, well-structured dataset containing the listing agent’s first name, last name, mailing address, and phone number for well over 500 active Zillow listings. Speed is critical, but accuracy matters just as much; the final file should be ready for immediate import into my CRM. You are free to use whichever stack you prefer—Python with BeautifulSoup or Scrapy, Selenium, residential proxies, even the unofficial Zillow API—so long as rate-limits are respected and the data is complete. I don’t need property details or price history; the focus is strictly on the agent contact fields. Deliverables • CSV or XLSX with a separate column for each required field • A short read-me explaining the script or method so I can rerun it la...

I’m looking for a dependable script or lightweight application that can collect sports betting odds from a web-based platform I have access to and export them into a structured Excel (XLSX) file. The initial focus will be on outright winner markets for: Golf Cycling Baseball The Excel output should remain clean and well-organized, grouping rows by sport, league, and event, so the data can be easily filtered and analyzed later. Update Frequency: Data refresh every 5 minutes Real-time or in-play updates are not required Accuracy and stability are more important than speed Technical Expectations: Ability to handle dynamic web content Robust approach that runs consistently over time Technology stack is flexible (Python, browser automation, or other suitable solutions) Clear...

I’m looking for a QA Engineer who can join our Madurai team on a six-month contract and bring 3–4 years of solid quality-assurance experience to the table. Manual testing is the day-to-day backbone of the assignment, and I also need someone confident enough with automation to build and maintain suites that keep regression runs tight and reliable. You’ll collaborate closely with developers and product owners in our office, owning the full test cycle—from writing clear test plans to validating production fixes. If you already script with Selenium or a comparable framework, you’ll ramp up fast; if you have wider performance-testing exposure, that’s a welcome bonus but not essential. Key deliverables during the contract: • Comprehensive test plans...