Extraction de données Jobs

I have a batch of text sitting in several .docx files that needs to end up neatly organised in Google Sheets. Before anything is pasted, I want the content cleaned: extra spaces removed, line-breaks standardised, obvious typos corrected, and any duplicate lines weeded out. Once the text is tidy, copy it into the sheet column-by-column so each logical piece of information lands in its own cell. You will work directly from the Word documents I provide, use whatever lightweight scripts or Excel/Sheets functions you prefer for the cleaning step, and deliver one Google Sheet that contains the fully processed data plus a separate tab summarising any items you had to flag or could not confidently correct. That’s the whole job—import, clean, and present the text so it is instantly us...

I’m putting together a master spreadsheet of Australian businesses and need an organised, accurate data-gatherer to make it happen. The first priority is every golf club in Australia; once those are complete, we’ll move straight on to other business categories so the file ultimately covers both golf clubs and a broad cross-section of Australian enterprises. What I need from you • Source publicly available information online—whether via targeted web scraping, reputable directories, or manual research—and capture each business’s name and primary phone number. • Include suburb, state and website where they’re easy to obtain so the list is genuinely useful, but the phone number is mandatory. • Deliver the results in a clean spreadsheet ...

I need a concise compilation of genuine Google-My-Business reviews for my restaurant, all drawn from customers within our local area and from Canada and USA

We are looking for a highly skilled AI and automation developer with experience in sports betting platforms and automated systems to help build and maintain an advanced betting automation solution. The ideal candidate should have experience working with sportsbook platforms, data scraping, AI prediction models, and automation tools to create a reliable system capable of processing large volumes of betting data and executing automated workflows. This is a freelance remote project with the potential for long-term collaboration.

I need a Python-based solution that automatically gathers companies and shareholders data, pulls supplementary details via external APIs, and outputs a clean, unified dataset I can query at any time. Scope of the scrape • Sources: company websites, financial databases and relevant public records. • Website focus: company profiles, turnover figures and any available Demat / share-holding particulars. What the tool should do 1. Crawl or call the above sources, respecting and rate limits. 2. Parse the required fields, normalise names and IDs, then enrich each record through one or more APIs (for example OpenCorporates, Clearbit or any better suggestion you have). 3. Store results in a structured format (CSV plus an SQLite or Postgres option). 4. Offer a simple comma...

I need a clean, ready-to-use list of prospects pulled directly from Google Maps. Please capture each company’s business name, physical address, phone number, and any email you can locate inside the listing so I can feed the data straight into my sales pipeline. Speed matters—ideally the first batch should land in my inbox as soon as possible, with the full file delivered shortly after. To keep the workflow smooth, deliver the results in a single Excel or CSV sheet, one row per record, free of duplicates and obvious errors. If you already have a proven method or custom tool for bulk scraping Google Maps without hitting quota limits, let me know. Accuracy and freshness of contact details will be the key success metric. Once you confirm you can hit these requirements, I’ll...

I am building a nationwide master list of every school, college, and kindergarten operating in India and I need verifiable contact information for each one. The dataset must span every state and union territory—no region is excluded—so that the final file can serve as a single reference point for outreach and analytics. For every institution you capture, I need three data points: • an active, regularly-monitored email ID • the main telephone or mobile number • the current physical address (street, city, state, PIN) Please organise the results in a clean spreadsheet (Excel or Google Sheet) with clearly labelled columns for Institution Name, Type (School / College / Kindergarten), Email, Phone, and Address. I will cross-check a sample of records for accuracy ...

Our team needs a clean, well-structured export of recent Facebook (Meta) campaign performance so we can analyse results internally without spending hours inside Ads Manager. I will grant read access to the account; from there the job is to pull performance data, then organise it for easy filtering and pivoting. Scope of work • Export all available metrics for the timeframe I specify, ensuring the following are definitely included: impressions, clicks, CTR, CPC, leads, and conversions. • Provide the data at every level—campaign, ad set, and individual ad—so we can drill down or roll up as needed. • Deliver two identical files, one in .xlsx and the other in .csv, each with clear column headers and a tab (or sheet) structure that separates levels cleanly. &...

I have a batch of text sitting in several .docx files that needs to end up neatly organised in Google Sheets. Before anything is pasted, I want the content cleaned: extra spaces removed, line-breaks standardised, obvious typos corrected, and any duplicate lines weeded out. Once the text is tidy, copy it into the sheet column-by-column so each logical piece of information lands in its own cell. You will work directly from the Word documents I provide, use whatever lightweight scripts or Excel/Sheets functions you prefer for the cleaning step, and deliver one Google Sheet that contains the fully processed data plus a separate tab summarising any items you had to flag or could not confidently correct. That’s the whole job—import, clean, and present the text so it is instantly us...

I need a steady stream of qualified multifamily-building owners who are actively looking to cut operating expenses. My focus is very specific: owners motivated by energy-efficiency improvements to support ESG or as they include utilities in rent and want to lower operating costs. Our new solution has been proven by utilities to lower electricity consumption. Looking for: • A fresh, accurate list of multifamily property owners (no brokers) who have expressed interest—or whose current cost profiles strongly suggest interest—in energy-saving upgrades. • Key decision-maker details: name, title, direct email, direct phone, property address, unit count, and any available notes on their cost-reduction goals. • Each lead must be verified and delivered in a clean spr...

Looking for an OpenBullet config engineer to build a config for a social media site. Please apply only if you have experience building OpenBullet configs and describe a couple of your projects built.

I need a complete, current data set for every car dealership operating in Milwaukee, Wisconsin, pulled directly from each dealership’s own website. For every dealership I want a phone number and a working email address; All results must be delivered into a single Google Sheet that I will share with you at the start of the project. I only want information gathered from official dealership sites—no third-party listings or directories. Please keep requests polite enough to avoid rate-limiting and respect any guidance. Deliverables • Google Sheet tab 1: one row per dealership with name, phone, email, and website URL • Google Sheet tab 2: complete inventory list with dealership name, make, model, year, and the source link Acceptance is based on a spot-check of ...

I have several Excel workbooks that contain strictly numerical information. I need the contents brought to a clean, reliable state and organised so I can run accurate analyses later on. The work involves three clear steps: 1. Data entry & organisation – move or copy the figures into the correct sheets, fields and rows so every value sits where it belongs. 2. Data cleaning & formatting – remove duplicates, fix inconsistent number formats, standardise units and make sure each column is uniformly typed. 3. Data validation & verification – cross-check totals, spot any outliers or obvious entry mistakes and flag anything that does not reconcile. Acceptance criteria: once complete, each workbook should open without errors, every column must contain only the ...

I need product details captured from a set of websites and delivered in a clean, structured format I can load straight into Excel or a database. The job involves visiting the URLs I provide, pulling every product’s name, price, SKU, description, and any other specifications that appear on the page, then handing everything back to me in a .csv or similar flat file. A lightweight script—Python with BeautifulSoup, Scrapy, or a comparable tool—would be ideal so I can rerun the extraction whenever the catalogue changes, but I’m happy to discuss whether you deliver only the compiled dataset or include the code as well. Please keep the workflow ethical (no site overload, respect where applicable) and ensure the final data set is complete, deduplicated, and readable wi...

I need an excel sheet with all buildings in Canada. You are expected to research on the internet yourself. I have provided an example of 1 source below - I need this resource to spend time to fully research many sources to gain accurate information I expect you to put extensive research into other web sources I expect a full list of the sources of data You will eliminate the duplicates and provide a clean human readable results excel sheet. Example. I have an ODB database sourced from the Statistics Canada page ( ) that lists every non-residential building across Canada. I need the entire dataset— every province, every building— exported into a single, clean .xlsx workbook. In addition, I will need to have every Commercial and Residential low, medium and high-rise bu...

hi, need someone to scrape some data. I need a google sheet with the name, email, phone and website of every company listed here https://www.freizeitmesse.de/ausstellerverzeichnis/#/suche/f=h-entity_orga;v_sg=0;v_fg=0;v_fpa=FUTURE Should be around 500 entries. Please share your rate and timeframe.

I have a collection of operational spreadsheets and large CSV exports from our existing business that now need tidy-up work before they can move into our core system. The job is straightforward but detail-heavy: • Enter any missing data exactly as it appears on the source documents. • Remove duplicates and obvious entry errors. • Apply a consistent column order, date format (YYYY-MM-DD), and currency style across every sheet. • Break the oversized CSV files into smaller, logically grouped files without corrupting headers or data types. Everything will be done in Microsoft Excel (or compatible tools) and saved back in XLSX and properly named CSV files. I will provide the raw files, formatting template, and simple naming convention the moment we start. Accuracy i...

I am compiling an up-to-date list of high-net-worth individuals and senior business leaders living or working in Mumbai. The focus is on decision makers from the Finance , Banking, IT industry and Technology sectors only. For every contact I need the following fields completed: full name, direct mobile number, current designation, company name, precise Mumbai location, and either annual or monthly income (whichever is available). The roles that qualify are strictly CEO/Founder, Director/VP, and Manager/Head of Department. Please omit anyone outside those titles or industries. Deliver the finished dataset in a single, clean Excel workbook. • Each column clearly labelled. • No duplicates or generic board lines; only direct, verifiable numbers. • Data must be current&md...

I have a collection of Excel and CSV files that need to be consolidated, reviewed, and cleaned so they are ready for analysis and reporting. The raw sheets contain blank cells, occasional typos, inconsistent date and number formats, and some possible duplicate records. **Scope of Work** * Consolidate multiple Excel/CSV files into a single organized workbook. * Enter missing rows or columns based on scanned notes that I will provide (images or PDFs). * Review and correct obvious spelling mistakes and numeric errors. * Standardize formats across all columns (dates, currency values, percentages, etc.). * Identify and remove duplicate records while preserving the most complete or first valid entry. * Ensure the final dataset is accurate, clean, and ready for analysis. **Deliverables** 1. ...

Thanks for looking. I urgently need data for a set of local businesses in and around Berkshire and London UK. We will pay per 2k list of the industries we will send upon acceptance. Email addresses must not be role based or trip any spam traps. I need a one-time extraction of verified email addresses from reputable online business directories. No other data fields are required—just the clean list of emails. Please choose whatever approach you prefer—Python with Scrapy/BeautifulSoup, browser automation with Selenium, or a similar tool chain—as long as the result is accurate and the scraping respects each site’s terms of service and rate limits. Deliverable • A CSV or XLSX file containing every unique email address you capture, de-duplicated and ready ...

We are hiring remote contributors to create photo-based language data using everyday materials found around you. This project focuses on collecting natural, real-life text captured through a phone camera. What You’ll Do - Photograph common objects that contain written text (printed or handwritten). - Provide three unique shots per item, changing position, distance, or lighting. - Ensure content is original and varied. - Most of the visible text (minimum 75%) must be in your local language. Eligibility - Fluent in the target language (native or near-native). - Physically located in a country where the language is used. - Own a smartphone capable of taking clear photos. How It Works - Upload images through a Google Form. - Submissions are reviewed individually. - Only valid, clear, ...

I need a robust yet easy-to-maintain web scraper that pulls player statistics from four different sports sites—a blend of official league pages, sports news outlets, and a couple of well-known fan forums. All scraped data should flow into a single database and surface through a lightweight web dashboard where I can search by player, season, and team, compare numbers side by side, and export results to CSV. My ideal flow looks like this: enter or schedule the URLs, run or auto-run the scraper, watch progress logs, and then immediately view fresh stats inside the dashboard—no command-line work once everything is deployed. If any source changes its HTML, the scraper should fail gracefully and flag the issue in the UI so I can react quickly. Tech stack is flexible; Python with Be...

Overview We are seeking an experienced Laravel Developer / Automation Engineer to architect and build a self-sustaining system that gathers publicly available contact and professional information for individuals working in the low-voltage industry (e.g., low-voltage technicians, structured cabling installers, fire alarm techs, security system installers, access control technicians, etc.). The system will collect relevant professional data from platforms such as LinkedIn and additional job boards where users publicly publish resume and profile information. The final solution must: Operate autonomously once deployed Allow geo-targeted searches by specific City/State Store structured data in a database designed like a spreadsheet Provide exportable, filterable datasets (CSV/Excel) ...