Parse the image from Google reviews and structure the document

It is necessary to perform the setup for the integration of Solomono + SalesDrive CRM. Task: to configure the collection of advertising identifiers and visitor data on the website, so that this data can later be linked to an order in the CRM. What needs to be done: Set up the script via GTM or use the built-in capabilities of Solomono, if there are hidden fields / mechanisms for saving advertising data. Collect data such as: gclid, utm_source, utm_medium, utm_campaign, user_agent, etc. Store this data along with the order on the website, if possible. Or transmit this data to SalesDrive CRM along with the order or separately via API/webhook. Bring the task to the point where the data from the advertising click is visible in the CRM in the order . Experience with Solomono, SalesDrive, GTM, API/webhook integrations will be a plus. The goal of the task: to ensure that each order in the CRM contains information about which advertising click/source the client came from.

An experienced 1C programmer is needed for a one-time data migration from 1C to a new CRM system. It is necessary to export data from 1C while preserving all relationships between entities: products, clients, receipts, invoices, balances, product movement history, and other directories. The export format can be JSON, SQL, or any other format convenient for further import. The main requirement is to maintain the data structure and all relationships between documents and objects so that the data can be correctly transferred to another CRM without loss of information. Experience in data migration between 1C and third-party systems will be an advantage. There is no need to migrate to another CRM, just provide a file or create functionality to save a dump file locally on click. Everything is managed locally, so you will need to work through AnyDesk or something similar. I don't know the prices for such work, so please make your offers.

Need a specialist for writing parsers who can bypass CLOUDFRAME. Parsing of products occurs from sites with authorization. There are 10+ donors of varying complexity, with different levels of protection. Parsing of products occurs from sites with authorization. Parses data into a ready-made Mysql database + photographs on the server. It is necessary to write a parser according to the tasks described in the technical assignment and adapt the data to the existing database for full functionality on the site. Technical assignment and example donor upon request. Desktop parsers and C# are not considered.

A Telegram bot needs to be created with a program that will monitor listings on three apartment rental websites (olx, lun, rieltor.ua) and send them structured in Telegram.

it is necessary to organize a way to collect newly created individual entrepreneurs and, if possible, limited liability companies. whether it's parsing or something else - you tell me what this method should be