Data Parsing
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496 USD Parser and Development, Internet Store of Technology
Data ParsingThe development of the online store and for that online store, the parser of the goods
The site is designed to sell goods of different types of technology. The parser should be updated once a day with the help of the crossing.
Used tools:
… PHP Storm
Postman
Used Technologies :
PHP, jQuery, JavaScript, AJAX, MySQL Programming, PHP5, Curl, JQeury, programming, passers, parsery, Parsing , Guzzle, PHP HTTP client, javascript, web-programming , Postman, Wordpress
#PHP5 #Curl #JQeury #programming #prser #parsery #parsing #gazzlle #php #javascript #web-programming #Postman #PHP #HTTPclient #Opencart
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Complete the category of lighting on Prom.
Data ParsingNearly 10,000 names + variation. At least 5 photos for each position, filling out all key features, etc. The duration of execution is 2 days.
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5 USD Parcing data from the internet store
Data ParsingParsing data from the online store under the following download to the online store on opencart
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Parsing from the site to the telegram channel
Data Parsing
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Shop of Tools on Prom Yua
Data ParsingComplete + periodic update. A total of about 40,000 positions.
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23 USD Parking and filling of goods for home on Prom
Data Parsing1 . Parking of goods (content/characteristics/photo) TM Brabantya, for the shop of goods for the home, located on the PROM site.
2nd Preparation for loading on the promo portal (generation of titles including the necessary keywords for each position, filling keywords for the best search in the promo catalogue itself, as well as indicating all the technical characteristics for each product).
Three For each item, several photos were uploaded (from 3 to 10 st).
4 . The data was summarized from 3 sources (use 2 sites as donors (including the manufacturer's website) and the price from the supplier, from which, in addition to the prices and warehouse remains, some additional features were obtained, which will give their advantages in the issuance of a catalog of promotions when using the issuance filtration.
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The work is done within 1 day. The cost of the work for the customer was 1000g. Less than 1500 positions.
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Information parser from OLX.UA
Data ParsingIt is written in Excel VBA.
Open the file. You enter the requests you need to parish, press the button - you get the data.
Work through a list of proxy servers.
… Multi-strom upload of ads
Loading of images
Export of information in xls or csv
In addition to the telephones, the main information is drawn from the ads.
Additional parameters. You can set the parameters for different requests.
- Possible post processing of information (by word)
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113 USD Opoltrans creation of Prays
Data ParsingThe video demonstrates the work of a small software,which forms the prizes of autoparticles based on catalogue numbers from the site http://opoltrans.com.pl/.
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Optics store for truck cars
Data ParsingIt is filled with the size of the lamps. About 1000 names.
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Car Parts Store at Prom Yua
Data ParsingComplete and permanent support (update availability prices, etc.) The car store on Prom. The volume is all 100,000 positions.
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68 USD Parking and filling of the tire store on Prom
Data Parsing28 thousand positions.
1 . Complete parsing (content/characteristic/photo) for the tyres store.
2nd Preparation for loading on the promo portal (generation of descriptions taking into account technical characteristics, titles including the necessary keywords to each position, filling keywords for the best search in the promo catalogue itself).
Three Mass processing of the photo (transmission of the water sign).
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The work is done within 1 day. The cost of the work for the customer was 3000g. The result of the first sales on Prom from the second to third day after the loading. And as a result - saving not little money and time on the handful filling of the store, respectively, a quick start.
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Automated collection of contacts from Google Maps via Make.com
Data ParsingDeveloped a fully automated workflow for collecting and enriching contact information about companies from Google Maps based on specified keywords and geolocation. The solution eliminates the need for manual searching and significantly speeds up the lead generation process for marketing and sales departments.
How it works:
… Data input: The user fills out a Fillout form with search parameters.
Data collection: A scenario in Make (Integromat) makes a request to the Google Places API and retrieves the company name, address, and website.
Data enrichment: If the website is found, the system extracts email addresses, phone numbers, and social media links through RapidAPI Website ContactCrawler.
Data processing: The results are cleaned, structured, and formatted into a CSV file.
Data delivery: The file is automatically uploaded to Airtable, and the application status is changed to Complete.
Key results:
Time savings: Reducing the contact collection process from hours to minutes
Scalability: Processing hundreds of records in a single run
Accuracy: Selecting only relevant domains (excluding social media and forms) to obtain valid leads
Integration: Full synchronization with Airtable for convenient tracking of applications
Technologies used:
Make, Google Places API, RapidAPI (Website ContactCrawler), Airtable, Fillout Forms