The best works of freelancers in data parsing on Freelancehunt — examples of work performed in collecting data ― page 6

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Real Estate with OLX

Data Parsing

Real Estate with OLX

The option is to choose a region, area.
Working through the Proxy Server List

vkalach
Parsign Site

Data Parsing

Vadim_gr
Parsign

Data Parsing

Vadim_gr
669 USD
Stake.com Parser with visualization and analytics

Data Parsing

Creating infrastructure for parsing data from the #stake.com website:
- Automation of actions - parsing website data into a database (Postgres)
- Visualization of the obtained data (Django)
- Creation of a complex filtering system based on the obtained data
… - Calculations/metrics - construction of data diagrams and graphs
- trigger system for sending results as messages to Telegram bot
#parsing #stake #django

natrud
22 USD
Domain Bot

Data Parsing

Generates domain ideas based on keywords and checks their availability via RDAP or GoDaddy.

dnscxrbl
335 USD
ASVP Automation Bot (n8n + Google Workspace)

Data Parsing

I created a bot that automates data collection from the ASVP government portal, which is protected by a CAPTCHA. The bot reads case numbers from Google Sheets, opens the site, solves the CAPTCHA manually (with a pause), and logs in. It scrapes decisions and documents, saves them in Google Sheets, and uploads files to Google Drive with clickable links.

I added smart delays to avoid IP blocking (40s per file, 5min per case) and error detection for login and download issues. This replaced a repetitive manual process with a safe, automated solution.

Segedon
112 USD
WebPageAnalyzer -- All-in-One Web Page Analysis Tool

Data Parsing

Get your custom web analysis tools to automate data extraction, transformation, comparison, and analysis for your specific needs, such as market research or competitor monitoring.

You can extract data from any website, target content precisely with CSS, and transform it to JSON, CSV, or other formats. You can also track website changes, get SEO metrics, and handle any language. It integrates easily with your systems.

… These tools go beyond basic scraping, handling dynamic content with headless browsers, providing robust error logging, and allowing custom JavaScript. You get clear documentation to start quickly.

#data_scraping #web_scraping #web_scraper #data_mining #data_extraction

valpere
89 USD
DataScrapexter -- Professional Data Scraper

Data Parsing

You can effortlessly extract valuable data from any website, enabling seamless web crawling, e-commerce scraping, and data mining. Our advanced web scraper provides automation, anti-detection, and captcha-solving capabilities, ensuring you access clean, structured data for your data analysis and processing needs. With proxy rotation, you're able to bypass restrictions and scale your projects effortlessly.

- Automate data extraction with customizable YAML and JSON configurations, saving you time on repetitive tasks.
- Benefit from anti-detection and captcha-solving, guaranteeing consistent results even on protected sites.
… - Utilize proxy rotation and distributed processing to handle large-scale web scraping projects with ease.
- Receive structured data in JSON, CSV, or database formats, ideal for your data analysis workflows.
- Master dynamic content, encoding issues, and high-volume scraping with our Go-powered solution.

Use cases include e-commerce scraping for competitor pricing analysis, web crawling for market research, or developing custom scrapers for niche data extraction. Whether you're a small business or enterprise, you can rely on clear, actionable insights.

#data_scraping #website_scraping #web_scraper #data_mining #data_extraction

valpere
45 USD
Parsing a website with medical institutions

Data Parsing

The parser goes through each page of the site, collects all medical institutions, then goes to each of them and gathers information (email, phone, website).

dima677
500 USD
Competitor Price Monitoring

Data Parsing

Implemented using Google Sheets. This option is familiar, portable (can be used from both a computer and a phone), and convenient.
Updated every morning, so the necessary data for work is available at the start of the workday.
Various changes to tables, reports, and data to meet your needs are possible.
Different websites can be added (discussed individually).

adnim
Automated data collection and analytics for the RoyalRoad platform

Data Parsing

This project was aimed at creating a high-performance server solution for automated data collection and analysis from the literary platform RoyalRoad. The main task was to gather detailed information about 37,000 books, convert it into a structured format, and provide the capability for in-depth analysis for further use.

Functional capabilities of the application:
Data collection:
…
Extraction of information about books, including titles, ratings, descriptions, categories, and key tags.
Collection of information about authors: names, profile links, activity on the platform.
Obtaining detailed information about chapters, including the number of chapters, publication dates, and their popularity.
Data structuring:

Automated conversion of the collected information into JSON format, with a clear structure for convenient use.
Storing data in a database to optimize access and further analysis.
Data analysis and report generation:

Sorting and filtering books by rating, number of chapters, popularity among readers.
Development of algorithms to identify trends, such as the most popular genres or authors.
Preparation of reports with specific analytical insights for use in business purposes or research.
Main challenges and their solutions:
Bypassing anti-scraping protection:
A bypass of the platform's protection systems, such as CAPTCHA and request limits, was implemented. This ensured a stable and continuous data collection process.

Processing large volumes of data:
Optimized algorithms and efficient databases were used to ensure fast processing and storage of data.

Flexibility of the application:
The created application easily adapts to changes in the website's structure, allowing it to maintain its relevance in the long term.

Project results:
A complete dataset on 37,000 books, authors, and chapters was collected.
Tools for analytics were implemented, allowing books to be ranked by popularity, number of chapters, and ratings.
A flexible database was created, enabling effective storage and use of data for further purposes, such as recommendation systems, marketing analysis, or integration into other projects.

SitolsV
112 USD
Parsing the product catalog of a competitor's website

Data Parsing

Task:
Scrape 5000 products from a competitor's website into a csv file. Fields for scraping:
- name
- price
… - category, subcategory
- all images
- product description
- specifications

The work was completed in 2 days.
The client received the entire product catalog in a ready-to-use csv file.

#scraping #scrapers #catalogs

alarcon_10

Data Parsing