Budget: 150 EUR Deadline: 1 day
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Budget: 325 EUR Deadline: 3 days
Hello.
I am ready to create a toolkit for parsing and automatic translation of large data sets.
I see your requirement for ChatGPT, not just a translator; I actually use Gemini, but this is the right approach, especially for furniture terminology where context is important.
I can start today:
1. Parsing: I will collect all data (name, description, characteristics, photos) from the Polish manufacturer's website into a structured table.
2. AI Translation: I will run the texts through the Gemini API with a special prompt to preserve HTML formatting (if needed) and ensure the correct translation of furniture terms into Spanish.
3. Format: I will deliver the finished file (CSV/XLSX/XML), adapted for import to the website + a folder with photos.
I think you should understand that a coder will parse the data for you but will not take care of its uniqueness and SEO, while a copywriter will take a week to do this because they cannot automate it. I work at the intersection of code, AI, and copywriting, so I have a lot of similar work in my portfolio.
Separately, we can add blocks for GEO optimization (AI search optimization) during processing because in 1-2 years SEO will take a back seat, and we need to take care of this today.
We can discuss further in private messages.
Budget: 40 EUR Deadline: 1 day
Good day. To assess the order, it is necessary to review the website.
Budget: 20000 EUR Deadline: 1 day
Good day,
I am ready to take on your project. I have experience in automating data collection from websites and developing scripts for content translation. I will be able to scrape data from a Polish furniture manufacturer's website, translate it via ChatGPT into Spanish, and upload it to the dealer's website in Spain. I will ensure professional execution of the work for about 300 products within urgent deadlines.
My rate is $16 per hour. To start the work, I need to gain access to the source website and discuss additional project details.
Thank you.
Budget: 50 EUR Deadline: 3 days
Good day
Please send a personal link to the website that needs to be parsed for review and in what format you need the result to be provided?
Budget: 50 EUR Deadline: 1 day
Hello.
I can implement parsing quickly and efficiently.
I am ready to start working immediately after the discussion.
Budget: 50 EUR Deadline: 1 day
Hello, I am ready to quickly and efficiently complete the task. I suggest discussing the details in private messages. I have experience in completing similar tasks.
Budget: 100 EUR Deadline: 3 days
Good day, Maxim
I will help you scrape any website. I will reprocess it through the GPT API, so I will handle everything easily and quickly.
Write to discuss the details. I will be waiting for feedback.
Budget: 40 EUR Deadline: 3 days
I am ready to complete this task, I can do a part as an example, if it suits you, we will continue our cooperation. Write to me in private messages for discussion.
Budget: 100 EUR Deadline: 3 days
Hello.
I am developing parsers in NodeJS. I am ready to take it on. Write to me, we will discuss.
Budget: 120 EUR Deadline: 5 days
Good day!
I have experience in product parsing and filling online stores. I will carefully collect data from the manufacturer's website (names, descriptions, specifications, photos) and prepare it in a convenient format (Excel/CSV).
I perform translation into Spanish through ChatGPT with adaptation to a commercial format (not Google Translate).
I understand the urgency — I am ready to start immediately.
I am ready to clarify the format of the result before starting.
Thank you!
Budget: 25 EUR Deadline: 1 day
Hello, I am developing scripts for website parsing. I have parsed Pexels, SoundCloud, Government of Canada. You can see the work in my portfolio. I reviewed the technical specifications, I can record the data in any format. Thank you.
Budget: 200 EUR Deadline: 3 days
Good day
I will write an automatic parser for complete synchronization of the product catalog
I have extensive experience
To provide an estimate, I need the source and CMS of your website, starting from 200 euros
Budget: 103 EUR Deadline: 3 days
Hello! I have extensive experience in scraping and data automation. Right now, I have a ready infrastructure based on Python and Docker that allows for quickly collecting large volumes of data and integrating it with the OpenAI API (ChatGPT) for quality localization.
Why I suggest working with me:
Intelligent translation: I do not use Google Translate. The translation into Spanish is done through ChatGPT, taking into account furniture terminology and technical specifications.
Speed: I can process 300 products within one day.
Clean data: You will receive a structured file (Excel/CSV/JSON), fully ready for import to your website.
Please send the link to the manufacturer's website. I will do a test parsing of a few items with translation so you can assess the quality and structure of the data before starting the main work.
Budget: 200 EUR Deadline: 5 days
Hello, I am ready to complete your project, I have experience in similar work. Write to me and we will discuss all the details.
Budget: 200 EUR Deadline: 7 days
Ready to execute, have experience working with parsing various sources. From you - a link to the donor site and the final data format. I will do it quickly and efficiently. The final price and deadlines after agreeing on the technical specifications.
Budget: 40 EUR Deadline: 1 day
Hello! I have been doing parsing for over 3 years. I can implement everything quickly and efficiently. As soon as we discuss the technical specifications, I will start working.
Budget: 40 EUR Deadline: 1 day
Good day, Maxim! I am ready to do this work for you. To clarify the rate, please send a link to the donor.
Budget: 150 EUR Deadline: 1 day
I am ready to do it urgently
What website?
_________________________
Budget: 50 EUR Deadline: 2 days
Good day! I am ready to complete your task. Write to me, we will arrange it.
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Oleksandr Pasternak 17 FebruaryДоброго дня
1)Надайте посилання на сайт який потрібно спарсити.
2)В якому форматі вам потрібно надати результат?
Current freelance projects in the category Data Parsing
Channel requirements: 1. Content language: Russian or Ukrainian (mixed RU/UA content is allowed) 2. Number of subscribers: At least 500 subscribers 3. Activity: The last post published no later than 32 hours ago 4. Comments: Comments must be open under the posts (through a group or embedded) 5. Quantity: Minimum 15,000 lines 6. Theme: War, news, politics, fights, trash/gore, sports, cars, crypto, fishing, and others Data to be collected for each channel Mandatory fields: Channel name username (link) Number of subscribers Theme (news, crypto, humor, business, etc.) Language (RU / UA / MIX) Date and time of the last post Presence of comments (yes) File format: Google Sheets / Excel (.xlsx)
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. .
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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.
Task: one dashboard with all business metrics — advertising, funnel, payments, manager performance, revenue planning. Data is pulled automatically via API. Scope: only the YCL direction (employment in Europe). Kommo has other directions — only YCL funnel deals will be included in the repository (filter by funnel/tag to be agreed upon).1. Data Sources (Integrations) Kommo CRM — leads, deals, funnel stages, responsible persons, sources, dates of transitions between stages (must keep history), reasons for refusals, custom deal fields (see point 2). Stripe — payments, amounts, statuses (success/failure/refund), linked to deals. Meta Ads — expenses, impressions, clicks, CPL, leads by campaigns (currently operational). Google Ads, Reddit Ads, LinkedIn Ads — planned; architecture — extensible connectors without core rework. SEO/organic— Google Search Console + GA4. Cross-link: traffic source → lead in Kommo → payment in Stripe (UTM, deal ID in Stripe metadata — propose the mechanism). 2. 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Summary: revenue, ROMI by channels, run rate to monthly plan. 4. Deal Cycle Average and median lead → payment cycle (business benchmark ~4 weeks), cycle trend over time. Breakdown of cycle by stages (how many days a deal sits at each stage) — to see which stage is dragging. List of deals that have stalled at a stage longer than normal. Cycle breakdown by segments: citizenship, residence status, country of placement, manager. 5. Early Warning of Decline (Key Block) Since the cycle is ~4 weeks, today's leads = payments in a month. The system must: Compare leads/qualifications of the current week with the moving average (4 weeks) and issue an alert if there is a downward deviation: “leads -X%, with a 4-week cycle expect a payment decline in the week [date].” Build payment forecast for 4 weeks ahead from the current pipeline: deals at each stage × historical conversion of the stage × remaining cycle. Highlight in red weeks where the forecast is below plan — with time to react. 6. 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Visualization and Roles “Traffic lights” (green/yellow/red) for key metrics relative to norms/plans; progress scales; trend graphs; mobile adaptive. Roles: CEO — everything; COO — entire funnel and managers; team lead — their team; manager — their metrics and position relative to colleagues. 9. Reports and AI Automated reports on schedule (daily summary, weekly report) in the dashboard and/or messenger. Free-form queries (“how has CPL from Meta changed over 2 weeks?”) — LLM over the repository. Alerts in the red zone and according to the rules from points 5–6. 10. Technical Expectations and Staging Repository (PostgreSQL/BigQuery or equivalent) + ETL: Kommo webhooks + periodic synchronization (15–60 min). Frontend: custom or BI tool — propose with justification; requirements for roles, traffic lights, forecasts, and AI queries must be implementable. 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