Web Scraping Jobs

We operate Shopify stores in two regions: -Australia -5 shopify stores   -UAE - 2 shopify stores   We need one integrated or tightly connected solution that covers two related needs: 1. Inventory Visibility & Reallocation (shared 3PL stock within each region)   2. Competitor Price Monitoring (with RRP + selling price, alerts, and suggested adjustments) 1. Inventory Management Scope Current situation   We manually allocate quantities of shared stock across stores. When one store sells faster, we reduce quantity on slower stores and increase it on the faster-selling store. This is messy and makes it difficult to see total allocated stock, low-stock products, slow sellers, and when to reorder. Key requirements - Central dashboard showing, per SKU/barcode:   ...

BUILD A PRODUCTION-READY WALMART SCRAPER FOR MICROSOFT AZURE I need a reliable production Walmart scraper. It must collect location-specific products, prices, measurements, promotions, categories and subcategories and run in my existing Microsoft Azure environment. This contest requires a working scraper, not a proposal, mockup, generic template or manually assembled dataset. SCOPE - Scrape each configured location twice per week. Daily scraping is not required. - Support multiple Walmart locations without rewriting the scraper. - Process every category and applicable subcategory in the attached Walmart_Category_URLs.csv. - Collect the broadest available catalog, not only featured, sponsored, sale or initially visible items. - Verify that the requested store and local pickup or in-store...

.BUILD A PRODUCTION-READY MARIANO'S SCRAPER FOR MICROSOFT AZURE I need a reliable production scraper for Mariano's, a Kroger-owned chain. It must collect location-specific products, prices, measurements, promotions, categories and subcategories and run in my existing Microsoft Azure environment. This contest requires a working scraper, not a proposal, mockup, generic template or manually assembled dataset. SCOPE - Scrape each configured location twice per week. Daily scraping is not required. - Support multiple locations without rewriting the scraper. - Process every category and applicable subcategory in the attached Marianos_Category_URLs.csv. - Collect the broadest available catalog, not only featured, sponsored, sale or initially visible items. - Verify that the requested ...

I need help transferring product details from a series of public-facing websites into my Excel template. Everything is done by hand—no scraping tools or API connections—so close attention to detail is essential. I will provide the list of URLs and an Excel file already set up with the columns I expect (name, price, SKU, short description, and image link). Your task is to open each link, copy the relevant information exactly as it appears, and paste it into the corresponding cells without altering spelling, punctuation, or casing. Deliverable: a fully populated Excel spreadsheet that mirrors the template structure and contains every product assigned. I will review for 100 % completeness, consistent formatting, and zero transcription errors before approving the job.

**Project Title: Python Data Mapping and Data Transformation Automation** I am looking for a Python developer to build a data mapping and transformation solution that can read data from CSV, Excel, JSON, or SQL sources, map source fields to target fields, transform data according to predefined business rules, and generate clean output files or load the results into a database. **Requirements:** - Develop Python scripts using Pandas for data mapping and transformation. - Map source columns to target columns based on mapping rules. - Handle missing values, duplicate records, data type conversions, and invalid data. - Perform data cleansing, validation, and error handling. - Support CSV, Excel, JSON, and SQL data sources. - Generate transformed output files and validation reports. - Write r...

I have a list of instagram leads , you duty to is message them 20 - 30 people per day thats all and follow up the leads and redirect towards me . College students are preferred

I’m looking for someone who can reliably pull Event Data from the web and enter it directly into my online system. The exact fields I need go beyond the standard “event name / date / organizer” set, so you’ll be carrying out a Custom Search each time and capturing whatever details I specify for that batch. Most sources will be popular event-listing sites such as Eventbrite, Meetup, Facebook Events and similar, but they can change from week to week. You should therefore be comfortable using standard scraping techniques, adapting selectors when layouts shift, and double-checking the results before you upload them. I will share credentials for the data-entry portal once we start; accuracy and consistency there are as important as the scrape itself. Let me know your...

I need the full textual content of a set of websites extracted and handed back to me in a clean, machine-readable dataset. The task is limited to scraping website content (no product feeds or user information), but within that scope I want every publicly available page: headings, body copy, meta tags, image alt text—anything that helps recreate or analyse the site’s structure. Here is what I’m expecting: • A repeatable script or notebook (Python with BeautifulSoup, Scrapy, Selenium, or a comparable tool is fine) that I can rerun later on new URLs. • The scraped data delivered in a single file per run—CSV, Excel, or JSON all work for me, so use whichever format your pipeline handles best; just keep it consistent. • Respectful crawling: follow , a...

Two suppliers give me access to their password-protected portals—one is a bespoke build, the other runs on Magento. I need an automated scraper that signs in to both sites, pulls every SKU with its variant-level price and available stock, and sends the results to a single Google Sheets workbook. The sheet must keep the same row order every run, highlight or otherwise flag any stock changes, and overwrite prices so I can compare week on week. Because the custom site doesn’t expose obvious selectors, you’ll need to inspect the markup and advise on the most reliable way to capture the data. Once the structure is mapped, the script should run unattended every seven days. A lightweight cron job (or a cloud function) that taps the Google Sheets API is fine; if you’d rath...

I’m looking for a fast, reliable way to pull company contact details straight from the official exchange sites — and nseindia.com. The goal is to capture every listed company’s publicly annoucements and save them into a database. The script should run everyday and collect below: The scripcode from NSE and BSE Categoryname of the annoucement The weblink to the announcement bseindia and nseindia may have their own api which can be used. Links to NSEIndia: (SME tab) Link To BSEIndia Annoucements: Deliverables • A runnable Python script which gives insert SQLs to to updated in DB. I’ll verify the work by cross-checking a random sample of companies against the live pages, so accuracy and field completeness matter more than raw speed.

we need a Website API Expert , we have a website where images path coming from API Code , I will give you few codes to check how images coming , i need someone who can figure out how those images path coming and you can get other images urls as well , mention IMAGE in your proposal else you will be Ignore , Need someone who can get it done ASAP , If you can able to get the url path then only we will hire you

I have two related data-prep tasks that need to flow into one clean Excel workbook. 1. Several PDF files contain structured forms and typed entries. I want every field captured accurately and placed into clearly-labelled columns in Excel—no images, just usable text values. 2. From one public website, I only need the visible text content (no images or charts). The pages are standard HTML. Pull that text, keep its section headings intact, and add it to separate sheets in the same workbook so I can cross-reference it later. Please automate both steps—Python with pandas, Beautiful Soup, or any reliable toolset is fine—as long as I receive: • A single XLSX file with separate sheets for: – each PDF form dataset – each scraped web page’s text ...

I have to compile a clean, structured dataset from the Ministry of Corporate Affairs portal and need a specialist who can quickly pull the exact fields I require from the two annual filings: • From MGT-7: current shareholding pattern and the key financial figures filed for the year • From AOC-4: the latest company profile information together with the list of directors The final deliverable should be an Excel or CSV file where each company occupies one row and the above data points sit in clearly labelled columns. If you would like to automate the process, feel free to use Python, pandas, Beautiful Soup, Selenium, or any other stack you are comfortable with—just ensure the script can be rerun should I need an update later. Accuracy is critical; every figure must matc...

Once an employee creates a booking ID in our internal tool, I need a service that instantly moves from that trigger to a confirmed ticket on MakeMyTrip, Cleartrip or Air India—no human clicks in between. The flow should: • Run a playwright automation script on MMT/Cleartrip/air india website, navigate through anti bot detection challenges. • choose the specified flight, fill passenger and passport data, • attach add-ons when requested (seats, meals, travel insurance, etc.), • submit our payment method, and enter OTP, which will be provided live. • return the PNR plus a full itinerary that we can log and e-mail. An HTTP endpoint or webhook listener will receive the trigger; low latency and robust error handling are essential. I also need basic audit...

I need a clean, consolidated CSV that pulls the latest Company Details available on India’s MCA portal. The scope is limited to three data groups—registration information, director details, and financial statements—for a set of companies I will share once we start. I am not interested in any other MCA datasets right now; documents and master data can be ignored unless they are essential for completing the three sections above. Accuracy and consistency are more important than volume, so please ensure the figures and director names exactly match what is published on the MCA site. Deliverables: • One UTF-8 encoded CSV containing separate, clearly labeled columns for all requested fields • A brief note on the extraction method (manual download, API, automa...

Collect Google Business Profile leads for Australian trade and service businesses. I need 1000,000+ contacts, we only receive new, unique contacts. Scope of Work Find businesses across all Australian states and territories. Prioritise the industries listed below. Collect publicly available business details. Include only businesses with Australian mobile numbers. Check every lead against our supplied contact list and previous deliveries. Deliver 10,00,000 Priority Industries Focus on these industries first: Plumbers Electricians Mechanics Auto electricians Dentists and dental clinics Medical centres Skin clinics Earthworks and excavation contractors Hydrovac and non-destructive digging contractors Landscapers Plasterers Vene...

I’ll provide you with a spreadsheet listing the target companies plus the exact job titles I’m after—Directors / VPs as well as Managers / Team Leads. Your task is to track down each person’s direct phone number and have every single entry verified through a reputable third-party verification service rather than by simple web scraping or guess-dialing. How I see the workflow • You locate the right contact at the specified designation. • You capture the direct line (mobile or direct desk extension—no switchboard numbers). • You run the number through the third-party service to confirm it is active and tied to the correct individual. • You deliver a clean, well-structured sheet that includes name, title, company, verified phone numbe...

This is a QUICK project. A couple of hours. I need a Excel sheet that captures email addresses taken directly from LinkedIn profiles. Every email must be sourced only from the profile itself—no outside databases or enrichment tools—so the sheet can be traced back to verifiable LinkedIn URLs. Alongside the email, please include the profile link and any standard public details you gather in the scrape (name, current job title, company, location).

I am looking for an experienced web scraping expert to scrape approximately 40,000 records from a website. Important: This is not a simple scraping task. After approximately 5–10 attempts, Google CAPTCHA appears and blocks further access. Scraping can continue only after the CAPTCHA is resolved, allowing more data to be accessed. Requirements: Scrape approximately 40,000 records. Handle Google CAPTCHA interruptions and website anti-bot restrictions appropriately. Extract the required data accurately and completely. Deliver the scraped data in Excel or CSV format. Ensure the scraping process is reliable and avoids duplicate records. Reference Video: Fixed Budget: ₹750 INR Please review the reference video carefully before bidding. Only bid if you have the necessary experien...

I have a personal list of several thousand archived URLs on the Wayback Machine and need a repeatable workflow that can process them in bulk. For every snapshot the workflow should: • Pull out the full text content, all embedded images, and any available metadata (titles, descriptions, dates, alt tags, etc.). Give separate selectors so I'm able to extract only the required data. • Save a clean, self-contained copy of the page so it can be opened offline as a standalone webpage. A option to go discover for subpages and extract data from them too. • Generate a parallel JSON file that structures the same information in a machine-readable way. Speed and resilience matter; the run must cope with large batches without timing out or getting blocked by the Wayback servers...

I have a collection of digital files—mainly PDFs and a few existing spreadsheets—that need to be transcribed with 100 % accuracy into a single, well-organized Excel workbook. The job is strictly manual data entry: no scraping tools or automated converters, so careful attention to detail is essential. You will receive clear file naming conventions and a column layout for the final spreadsheet before you start. I’ll also share a small test sample to confirm formatting and accuracy. Once that is approved, you can proceed with the remaining files. Deliverable: one Excel file containing all records, complete and double-checked for typos, misplaced decimal points, and consistent date and number formats. If you have questions about any entry while you work, just flag it and I...

MARQUES Bentley, Aston Martin, McLaren, Land Rover, Rolls-Royce (genuine/original parts only). Supplier websites will be shared with shortlisted freelancers. Some may need a trade login, which we will provide. DATA REQUIRED PER PART - Part number/SKU exactly as shown (no Excel formatting errors, leading apostrophes or scientific notation) - Superseded/replacement part numbers - Title and full description - Category/sub-category - Price in GBP (retail and trade if shown), noting VAT - Stock status, lead time, obsolete/NLS flags - Weight and dimensions where available - All images at the highest resolution available - Source URL and date scraped CAR MODEL / FITMENT (ESSENTIAL) Every part must be linked to the car model(s) it fits. Please capture these as separate columns: - Marque (e.g. B...

The assignment centres on mapping, vetting, and short-listing factories across Java, Indonesia that can reliably manufacture human-hair wigs in both Remy and Non-Remy grades. The ultimate goal is to secure partners able to meet export-ready quality, consistent volumes, and competitive pricing for an international buyer. Scope of work • Identify a broad pool of human-hair wig producers on the island, then filter down to the three to five most promising options through factory visits or live virtual audits. • Verify that each facility can source, process, and label Remy and Non-Remy hair separately, maintaining full traceability and hygiene standards. • Collect hard data on minimum order quantities, unit costs at multiple volume tiers, available cap constructions, ...

Please write idiomatic Python with clear structure and docstrings on public functions. Use logging (stdlib or loguru) so runs are easy to audit. The Python work centers on: sentence-transformers similarity search. Confirm Python version (3.10+ is fine) before you start if anything is unclear. Tech stack: Python 3 only. Reference batch ID: QA-PY-0145.

This brief is for a focused Python task: script, small package, or single service module. Include a `if __name__ == '__main__'` entry point and one documented example command. The Python work centers on: YAML settings merger. Confirm Python version (3.10+ is fine) before you start if anything is unclear. Tech stack: Python 3 only. Reference batch ID: QA-PY-0050.

Please write idiomatic Python with clear structure and docstrings on public functions. Add lightweight error handling; fail with messages that help debug input paths and API responses. The Python work centers on: python-docx mail-merge helper. Confirm Python version (3.10+ is fine) before you start if anything is unclear. Tech stack: Python 3 only. Reference batch ID: QA-PY-0055.

I need a one-time extraction of contact details from a UK-based website. The pages are publicly accessible, but they sit behind basic pagination and a search filter, so the process may require a crawler that can navigate multiple result pages before harvesting the data. Please capture the following items and export them to a single, tidy Excel workbook (.xlsx): • Email addresses • Phone numbers (normalised to +44 format) • Postal addresses A clean header row, one record per line, and the removal of duplicates are essential. Basic validation—such as checking email syntax and trimming whitespace—will save me time later. I’m comfortable if you choose Python with BeautifulSoup, Scrapy, or Selenium, or another language you prefer, provided the result...

I need a Python 3 deliverable only—no other languages for the core logic. Include a `if __name__ == '__main__'` entry point and one documented example command. The Python work centers on: virtualenv bootstrap installer. I will review the Python code for readability first, then edge-case behavior. Tech stack: Python 3 only. Reference batch ID: QA-PY-0036.

Dubai Lead Research: 100 Respond.io-Ready CSV Prospects Description: I need a detail-oriented lead researcher to find 100 qualified Dubai-based prospects who are already creating personal-brand video content. This is research only. No outreach, messaging, calling, or CRM work is required. Target profiles Find prospects across these categories: Real estate agents and brokers Real estate company founders and CEOs Interior designers and design studio founders Fashion and clothing brand founders Entrepreneurs, founders, and CEOs actively building a personal brand Qualification criteria Each prospect must meet all of the following: Based in Dubai or clearly operating primarily in Dubai/UAE Active on at least one of: Instagram, TikTok, LinkedIn, or YouTube Already posting video content and/or...

I need a detail-oriented freelancer to pull strictly numerical records from specified online databases and enter them into my master spreadsheet. Before each value is recorded, carry out basic cleaning: trim stray characters, ensure consistent decimal formatting, remove obvious duplicates, and flag any missing or suspect figures. Accuracy takes priority, so I will be spot-checking your work; however, speed is still appreciated. You are free to use whatever method suits you—manual copy-paste, web scraping utilities, or Excel/Google Sheets import functions—so long as the final sheet is 100 % correct and neatly organised. Deliverables: • Completed spreadsheet containing every requested numeric field, fully cleaned • A brief log noting any anomalies or entries t...

Please write idiomatic Python with clear structure and docstrings on public functions. Add lightweight error handling; fail with messages that help debug input paths and API responses. The Python work centers on: Discord reminder bot. Ask questions in messages if a library choice (e.g. Scrapy vs requests) affects scope. Tech stack: Python 3 only. Reference batch ID: QA-PY-0139.

Every day I collect information through a small web-scraping routine and now need that data copied, without errors, into a secure online form. You will receive the scraped output (CSV/JSON, whichever you prefer) and your task is to transpose each record into the form fields exactly as provided. The scraping is already running, so no coding is required on that side; the focus here is meticulous data entry and a sharp eye for inconsistencies. Most records are short—think a few text strings mixed with numbers—but accuracy is critical because the form triggers downstream workflows. You will: • Review the scraped file for obvious anomalies (blank fields, mis-aligned columns). • Enter all valid rows into the form, matching field names 1:1. • Flag any record that...

Scope is intentionally small; optimize for clarity and easy handoff in Python. Add lightweight error handling; fail with messages that help debug input paths and API responses. The Python work centers on: Google Sheets API sync. Confirm Python version (3.10+ is fine) before you start if anything is unclear. Tech stack: Python 3 only. Reference batch ID: QA-PY-0125.

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. Keep dependencies minimal; pin major versions in when you add packages. The Python work centers on: barcode label printer script. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0088.

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. Include a `if __name__ == '__main__'` entry point and one documented example command. The Python work centers on: Jupyter notebook to plain script refactor. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0148.

Please write idiomatic Python with clear structure and docstrings on public functions. Keep dependencies minimal; pin major versions in when you add packages. The Python work centers on: Excel to Parquet conversion. Turnaround is flexible; I care most about clean Python and reproducible setup steps. Tech stack: Python 3 only. Reference batch ID: QA-PY-0067.

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. For I/O heavy work, consider asyncio or multiprocessing only if it clearly helps—keep it simple first. The Python work centers on: python-telegram-bot polling service. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0058.

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. Expose configuration through argparse, Typer, or a YAML file—your choice. The Python work centers on: RQ worker queue consumer. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0028.

Scope is intentionally small; optimize for clarity and easy handoff in Python. Use logging (stdlib or loguru) so runs are easy to audit. The Python work centers on: rotating proxy scraper client. Turnaround is flexible; I care most about clean Python and reproducible setup steps. Tech stack: Python 3 only. Reference batch ID: QA-PY-0047.

I need a compact Python script that automatically pulls every organic result URL that appears on the first five pages of Google for any keyword I feed it. The script should accept a list of search terms (from a text file or command-line argument is fine), perform the searches, and collect only the result links—no ads, no featured snippets, no map listings. Key points • Pages to cover: page 1 through page 5 for each query • Output: a neatly formatted Excel workbook (.xlsx) with one sheet per keyword or, if simpler, a single sheet that lists keyword, position, page number, and URL • Language: Python 3.x using common libraries such as requests/BeautifulSoup or Selenium if you prefer a headless browser approach. Feel free to combine with pandas / openpyxl for the Ex...

This brief is for a focused Python task: script, small package, or single service module. Use logging (stdlib or loguru) so runs are easy to audit. The Python work centers on: Starlette middleware helper. Synthetic/sample inputs are enough for the demo run—no live production keys required. Tech stack: Python 3 only. Reference batch ID: QA-PY-0068.

Scope is intentionally small; optimize for clarity and easy handoff in Python. Use logging (stdlib or loguru) so runs are easy to audit. The Python work centers on: win32com Excel automation bridge. I will review the Python code for readability first, then edge-case behavior. Tech stack: Python 3 only. Reference batch ID: QA-PY-0131.

I need a small application that checks a chosen info website every hour, captures any freshly posted content, and immediately publishes those findings inside a password-protected web portal. The exact data points we collect—new arrestee, charge , bond amounts, or something else—can be finalised together once development begins, but the program must recognise what is new since the previous run and avoid duplicates. The workflow I have in mind is straightforward: 1. An automated scraper (Python with BeautifulSoup, Scrapy, or a comparable solution is fine) runs on an hourly schedule. 2. Scraped items are stored in a lightweight database so they can be compared against previous runs and displayed chronologically. 3. A simple web interface, secured by login credentials, sho...

Deliver production-leaning Python: readable names, small functions, and a requirements file if needed. Include a `if __name__ == '__main__'` entry point and one documented example command. The Python work centers on: Celery task retry fix. I will review the Python code for readability first, then edge-case behavior. Tech stack: Python 3 only. Reference batch ID: QA-PY-0106.

I have a list of publicly available websites that host a set of PDF files I need collected in one place. No authentication—no usernames, passwords, API keys, or tokens—are required; every file is freely reachable from the open web. What I need from you is straightforward: • Retrieve every specified PDF in the list I will supply. • Save each file exactly as-is (no renaming or conversion). • Deliver the full set to me in a single compressed folder. Before starting, I’ll share the URL list and any other relevant notes. I’m looking for 100 % completion and accuracy on the first pass, so please double-check that every link resolves and every PDF opens correctly. Fast turnaround is appreciated; let me know your estimated timeline when you respond.

I'm in need of a sportsbook, cricket, and live casino betting api. help to find low cost. Key Requirements: - The sportsbook must support live betting, in-play statistics, and multiple sports coverage. - It should cover major sports including football, basketball, and tennis. It would be ideal for you to have prior experience in developing sportsbooks or betting platforms. Your familiarity with live casino APIs will also be an advantage. Please provide details of your relevant experience and be prepared to share examples of your previous work in this area.

I need a small, reliable script that continuously pulls text data from a specific website and pushes the results straight into an Excel worksheet in real time. The flow is simple: scrape → clean (if needed) → append or overwrite the target cells so the sheet always shows the freshest information without manual copy-paste. Key points • Source: web scraping only—no API access is available. • Destination: a standard .xlsx file that I will open locally. • Data type: plain text (no images or links). Please choose whatever stack you’re most comfortable with—Python (BeautifulSoup, Selenium, Pandas), VBA with WinHTTP, or Power Query with a custom connector are all fine—as long as the final workbook updates with one click or, even better, on ...

I need current laptop prices gathered and entered into my JioMart catalogue. All figures must come straight from official manufacturer websites so the data remains fully reliable and up-to-date. You will work through the models I specify, pull the published MRP or current selling price, record it in the spreadsheet template I share, and note the date you captured each figure. If a model is missing from a manufacturer site, flag it so I can decide whether to use an alternate source later. Accuracy is more important than speed, but I expect regular progress updates so I can sync my stock decisions with the numbers you collect.

We are seeking experienced, efficient freelancers for business-contact list building, with the opportunity for ongoing assignments across several projects. The work involves identifying U.S. specialty contractors that match criteria we will provide privately to selected applicants. You should already have access to suitable databases and research tools, such as Apollo or similar platforms, Google, LinkedIn, business directories, and authorized scraping tools. We value quick turnaround, accurate targeting, and clean data. What we need: An organized Excel or CSV spreadsheet containing: • Company name and website • Business address, city, and state • Contact name and job title • Direct business email for the named contact We are seeking named business contacts rathe...

OLX Listings by Confirming from olx advertiser and Posting on my website and some products listings I need help confirming 1. Listings from OLX advertisers and posting them on my website, Requirements: - Confirm accuracy of OLX listings (real estate, automobile, electronics etc). - Post on my website with: - Price details - Contact information - Listing description - Ensure data is accurate and up-to-date Ideal skills: - Experience with OLX and similar platforms. - Proficient in web posting and data verification. - Attention to detail is crucial. Quote for Every 500 listings on