Parsing contacts of NGOs from open sources for sociological research

Good day! It is necessary to compile a B2B contact database for Ukraine for further communication. Categories: interior designers, design studios, architects / architectural firms, project offices, construction and renovation companies, turnkey renovation, finishing, electrical installation, lighting, Smart Home, stretch ceilings, drywall, decorative finishing. Sources: Google Maps, company websites, Instagram, Facebook. Include only relevant accounts / companies in the database. Instagram — preferably from 1000 followers. Fields in Excel: category, city, name, phone, email, website, Instagram, number of followers, Facebook, Google Maps. Geography: Kyiv, Kozyn, Koncha-Zaspa, Lisnyky, Khodosivka, Kryukivshchyna, Chaiky, Petropavlivska Borshchahivka, Sofiivska Borshchahivka, Stoyanka, Bucha, Irpin, Hostomel, Vyshneve, Brovary, Boryspil, Bila Tserkva, Fastiv; Lviv, Bryukhovychi, Sokilnyky, Solonka, Zubra, Malehiv, Vynnyky, Navariya, Dublyany, Stryi, Drohobych, Sheptytskyi; Odesa, Sovinyon, Lymanka, Fontanka, Tairove, Chornomorsk, Izmail; Dnipro, Slobozhanske, Obukhivka, Kamianske, Pavlohrad, Nikopol; Kharkiv, Pisochyn, Tsyrkuny, Derhachi; Uzhhorod, Mynai, Storozhnytsia, Mukachevo; Ivano-Frankivsk, Ugryniv, Krykhivtsi, Kalush; Chernivtsi, Chahor, Koroviya; Vinnytsia, Agronomichne, Zarvantsi, Zhmerinka; Rivne, Barmaky, Bila Krynytsia; Ternopil, Baikivtsi, Velyki Hahi; Khmelnytskyi, Kamianets-Podilskyi; Cherkasy, Uman; Poltava, Kremenchuk; Zhytomyr, Berdychiv; Lutsk, Kovel, Novovolynsk; Chernihiv, Nizhyn; Kropyvnytskyi, Mykolaiv, Zaporizhzhia, Sumy, Shostka. Result: clean Excel without duplicates, irrelevant companies, broken links, and publication pages instead of profiles. Preferably to be done in 1-2 days.

A project needs to be implemented for collecting and structuring a large array of images from open web sources (initially 2000 images). The task includes: - automated image collection; - uploading files in the highest available quality; - classifying images by categories. Expected results: - a structured image database; - a clear cataloging system; - delivery of the results via Google Drive or another agreed method;

Good day! Two tasks need to be completed: 1. Develop a product parser from an external website (10–40 thousand items, marketplace) with structured data saved in MySQL for subsequent output in WordPress. 2. Install and configure n8n on VPS, as well as organize AI content processing: prompt setup, text rewriting, image processing, SEO optimization, and text checking for AI detection. You can estimate the cost of completing both the entire project and each task separately. .

It is necessary to perform parsing from Viber channels (Total number - 49 channels, about 80 thousand subscribers).

Good afternoon. I need a keyword parser that outputs results through a Telegram bot. How it should work: Automatic search on 4 websites for keywords that change from time to time. Search queries are sent every few minutes. The words are uploaded in the form of a .txt file. The Telegram bot should have buttons: start bot, stop bot, download file (downloads a file with active keywords), upload file (uploads an edited file with new words). The bot should ignore previously found results, i.e., it should not indicate the same ad twice. The result comes to the bot in the form of a link with a photo, but just a link is sufficient. P.S. searching websites without API, VPS with 6TB and 50 IPs are already available. For detailed information, please contact me via private message.