Freelance Job Listing Crawler

@AwaisChaudhry

Hello, Understanding and approach: I will build a lightweight, robust crawler that pulls internship postings from your target companies in near real time, handles pagination and rate limits, and outputs a clean dataset with title, description, budget (if shown), client name, posting date, skills/tags, and the URL. The default stack is Python with Scrapy for speed and reliability, with a Node.js option for JS-heavy sites. The crawler will filter to freelance gigs only, run with minimal setup via a single command, and include install steps, target config, and a sample run. Deliverables: source-controlled code with install/config, a sample output file (CSV or JSON), and a short guide to add or remove sites. Timeline: first successful scrape within 24-48 hours after you share targets; full feature parity within 5-7 days. I have built crawlers for job sites with anti-bot measures, using polite crawling, rotating user agents, delays, retries, and error handling. For sites with stronger defenses, I can add proxies or JS rendering as needed. I look forward to your input How many target sites will you start with, and will you provide them as URLs?\n\nWhat frequency do you want for scraping (real-time, hourly, daily)?\n\nAre some sites protected by strong anti-bot measures I should know about?\n\nDo you prefer CSV or JSON for output, and any extra fields beyond the standard list?\n\nWill you run this locally or on a server (for scheduled runs), and any hosting constraints? Best rega

@pvsysgroupinc

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@royalwebraisers

Dear Hiring Manager, The requirement for a lightweight, near-real-time freelance crawler can be delivered with a resilient scraping and normalization pipeline. I am confident about producing a working, source-controlled scraper with clean, usable output after our first technical alignment. Implementation Approach: • Build a Python (Scrapy/BeautifulSoup) or Node (Cheerio/Puppeteer) crawler with pagination, throttling, and retry handling • Normalize fields (title, budget, skills, client, URL, dates) into CSV/JSON outputs • Implement freelance-only filtering at crawl and post-processing stages • Provide CLI-based execution, scheduler hooks, and documentation for adding new sources Queries: • How many target domains will be included in the initial crawl set? • Should captchas or Cloudflare-protected sites be supported? • Is delta-based syncing (only new jobs) required or full refresh each run? I will be waiting for your response. Kindest Regards, Lokendra

@abhisaini0188

Hello, Thank you so much for posting this opportunity. It sounds like a great fit, and I’d love to be part of it! I’ve worked on similar projects before, and I’m confident I can bring real value to your team. I’m passionate about what I do and always aim to deliver work that’s not only high-quality but also makes things easier and smoother for my clients. Feel free to take a quick look at my profile to see some of the work I’ve done in the past. If it feels like a good match, I’d be happy to chat further about your project and how I can help bring it to life. I’m available to get started right away and will give this project my full attention from day one. Let’s connect and see how we can make this a success together! Looking forward to hearing from you soon. With Regards! Abhishek Saini

@efanntyo

Hello xuy27 Thanks for posting this exciting project, I am really interested in your project. Because I am working on 7 years over with Python, Data Processing, Web Scraping, Software Architecture, Google App Engine, Node.js, Scrapy, Data Extraction, BeautifulSoup, API Development, I can provide good result in your needed timeline. I am looking forward to discussing more with you soon. Regards Efanntyo -.

@mrresearcher99

Hi there, I’ve reviewed your Node.js project requirements and would love to help. With 5+ years of experience in backend and API development, I specialize in building fast, scalable, and secure applications using Node.js, Express, and MongoDB. I’ll start with a clear architecture plan, provide regular progress updates, and ensure the solution is well-tested, efficient, and production-ready. Let’s connect to discuss your project in detail — I’m ready to get started! Best, Bhargav Node.js Developer | Backend & API Expert

@hitech10

Hello, I can build a fast, reliable Freelance Job Listing Crawler that aggregates only freelance and internship gigs from multiple sources into a clean, ready-to-use dataset. The crawler will be lightweight, easy to run locally, and designed to handle pagination, rate limits, and basic anti-bot protections without friction. If you interested then lets connect for better soulution. Development to Deployment Road-Map (FMCG Domain Solutions): Requirement finalization → target site analysis → ER diagram & data schema design (jobs, sources, tags) → crawler architecture setup (Python Scrapy/BS4 or Node Cheerio/Puppeteer) → pagination & rate-limit handling → freelance-only filtering logic → real-time/near-real-time scraping → structured output (CSV/JSON) → logging & error handling → local run command setup → documentation → sample data generation → handover & walkthrough. Key Deliverables: Source-controlled crawler with one-command setup Aggregated output including title, description, budget, client, date, skills & URL Clear guide to add/remove target sites and schedule runs I will plan a complete Road-Map that can help in development with ER diagram. I am very interested for long term collaboration. Best regards, Prakash.S

@vanhuy19892011

Dear . Thanks for sharing your project! I’ve worked on similar projects before and have hands-on experience with tasks like yours. I’ve got a bunch of hands-on experience with BeautifulSoup, Node.js, Data Extraction, API Development, Web Scraping, Google App Engine, Software Architecture, Scrapy, Data Processing and Python, so I’m comfortable handling everything you’re looking for. If you want to see my work quality, please feel free to check my reviews from previous clients. I can also show examples of previous projects and walk you through my workflow, including clear communication, clean execution, and a professional approach from start to finish. Feel free to message me anytime. I’d be happy to discuss your project and get started. Best Regards, Huy.

@Zeeshan0489

Hi there, I’ve read your Freelance Job Listing Crawler brief and I’m confident I can deliver a lightweight, robust scraper that aggregates freelance gigs in near real-time with clean, ready-to-use data. I’ll build a Python Scrapy-based solution (with optional Node.js components) that handles pagination, rate limits, and anti-bot measures (rotating user-agents, polite delays, retries, and robust error handling), with data normalization for title, description, budget, client, date, skills, and URL. The architecture will include source adapters for each site, a unified schema, and a simple local run command plus a Google App Engine deployment option for scheduling. Deliverables: 1) source-controlled code with install/config steps, 2) a sample output file (CSV/JSON) from a full sweep, 3) a concise guide to adding/removing targets. I can have a minimal prototype running within 2-3 days and share a first results snapshot soon after. Best regards,

@carlitanjuguna05

Hi there, I understand you need a lightweight and efficient crawler to effectively aggregate internship postings from various companies. With extensive experience in web scraping using both Python (Scrapy and BeautifulSoup) and Node.js, I am confident in my ability to deliver a robust solution tailored to your specifications. I will create a Python-based crawler that handles pagination and rate limits, ensuring real-time data retrieval while filtering for freelance gigs only. The project will include source-controlled code with detailed installation instructions, a CSV or JSON sample output from the first full sweep, and a simple guide to manage target sites as needed. I plan to have the first successful scrape within 5 days, allowing for any necessary adjustments based on your feedback. Best regards,

@webperfection123

Hi There, Which companies are you targeting for the internship postings? I will develop a lightweight crawler that uses Python with BeautifulSoup to efficiently gather and aggregate data from selected sources. I anticipate delivering a working prototype within 3-5 days, addressing pagination and rate limits effectively. The code will be source-controlled with clear instructions for installation and configuration. You’ll receive a sample output in CSV format after the first successful sweep, along with a brief walkthrough for adjusting the target sites. My experience includes working with scraping tools and overcoming anti-bot measures, ensuring you get accurate data quickly. Looking forward to getting this started! Best Regards, Priyanka

@OsamaTnt

Hi, I do have some questions, but here’s what I can do for you: - Automated python script, and data transformation pipeline that filters for freelance keywords and exports a structured, ready CSV or JSON file in clean format. - Comprehensive README including how to run, and a complete guide. Note: full source code will be delivered. Note: you won’t pay until the work is done Send me a message, let's discuss.

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Freelance Job Listing Crawler. I am an experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@Techroj

Dear Client, Greetings!! I have gone through the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands-on experience on python, AI/ML, Data Science, software building, etc.I can build a lightweight, robust Python crawler using Scrapy or BeautifulSoup that aggregates freelance internship postings, handles pagination, rate limits, and anti-bot measures, and outputs a clean CSV/JSON. I’ll deliver source-controlled code with setup instructions and a first full scrape quickly. I have been coding on Machine Learning and Data Science with python from past 7 years. I have the experience of working with 4 giant tech companies, including freelancing on upwork, fiverr and freelancer. Hope to hear from you soon!!. Regards, Rojan

@oleksandrf3

I NEVER USE AI FOR BIDDING! You need a fast, low-friction crawler to pull freelance internship gigs, handling pagination, rate limits, and outputting a ready-to-use dataset. I have built robust crawlers with real-time scraping, smart anti-bot handling, and simple one-command local deployment. Looking forward to discussing more details. Tech: Python, Scrapy, BeautifulSoup, Requests, Selenium (anti-bot), CSV/JSON, Docker/manual CLI setup, clear docs

@hr157

I need a lightweight, robust crawler that can pull internship postings from a list of companies and aggregate them into a single, clean data set I can work with immediately. The script should probe each source in real time or near-real time, handle pagination and rate limits gracefully, and return the standard details I rely on—gig title, description, budget (if shown), client name, posting date, skills/tags, and the direct URL. Primary focus • Only freelance gigs; full-time and part-time roles can be ignored at the crawl or filtering stage. • I want this running ASAP, so please keep setup friction low. A single command to spin it up locally (Python + BeautifulSoup/Scrapy, Node + Cheerio/Puppeteer, or another proven stack you prefer) is fine as long as it is well-documented. Deliverables 1. Source-controlled code with clear instructions to install, configure targets, and schedule runs. 2. A sample output file (CSV or JSON) populated by at least one full sweep. 3. Brief walkthrough of how to add or remove target sites in the future. Send a concise but detailed project proposal outlining your chosen tech, timeline to first successful scrape, and any past experience handling anti-bot measures or complex site structures. I’m ready to move right away and happy to answer technical questions as they come up.

@Jairo51019

With a comprehensive understanding of web development, keen data extraction skills, and proficiency in both Node.js and Python, I'm ideally equipped to handle your freelance job listing crawler project. I specialize in creating high-performance, easily maintainable web applications using technologies like Express, React, and NestJS - all of which would be valuable additions to your project. Given the need for efficiency and a quick turnaround, I can have the crawler up and running promptly while ensuring it is lightweight yet resilient enough to manage pagination, anti-bot measures, and rate limits without a hitch. My previous experience with anti-bot measures and complex site structures gives me an edge when it comes to problem-solving during scraping, making me all the more suited for your project. I guarantee source-controlled code, well-documented instructions for setup and configuration, schedule runs to populate your requested data fields in a clean output file (CSV/JSON), in addition to guiding you through adding/removing target sites for future scalability. So let's get started on making your vision for this crawler a reality!

@abdulmannan31117

Hi, I'm a senior developer with over 8 years of experience in web scraping, data extraction, and automation using Python. I've successfully navigated complex site structures and handled anti-bot measures in the past. For this project, I propose using Scrapy, a powerful and efficient library for web crawling. Here's my approach: I'll create a Scrapy spider tailored to extract the desired information from each target site. To handle pagination and rate limits, I'll use Scrapy's built-in middleware and settings. The extracted data will be saved in a CSV file, ensuring easy import into your dataset. I estimate the initial setup to take around 2-3 days, depending on the complexity of the target sites. Once complete, you can run the crawler with a single command. I'll provide clear instructions for installation, configuration, and scheduling. Before we proceed, could you please share the list of companies you'd like to crawl? Also, is there a specific date you'd like the crawler to start running? Looking forward to discussing this further.

@ivicab6

Hello, Drawing from my 5+ years of experience in Data Engineering, Analytics, and Web Development, I am confident that my skills align perfectly with your project requirements. Having worked extensively with data extraction and processing projects using Python, I have developed a strong proficiency in crafting efficient and reliable web crawlers, and am particularly familiar with BeautifulSoup/Scrapy. This makes me exceptionally well positioned to swiftly and effectively build the lightweight yet robust crawler you need. Moreover, my expertise in working with various anti-bot measures and complex site structures will prove invaluable in handling any potential stumbling blocks we may encounter along the way. I am adept at coding solutions that gracefully navigate pagination, rate limits, and other challenges ensuring a seamless real-time or near-real-time performance. Lastly, my delivery approach of source-controlled code along with detailed instructions to navigate it will guarantee you easy manageability and future-proofing. So let's collaborate on transforming your vision into reality while mitigating setup friction, ensuring a single command allows you to extract valuable internship postings from a plethora of sources that you can instantly optimize for your requirements with confidence! Thanks!