Instagram Liquid Detergent Leads Scraper

@mak94pk

I’ll start by building a Selenium crawler that logs into Instagram, navigates to each verified brand account, and extracts Reel captions, overlays, and URLs. The script will parse the text for manufacturer names, contact numbers, emails, WhatsApp links, and product details, and output a CSV with the requested columns. I’ll deliver the working script, source code, and a sample spreadsheet in 7 days. How many brand accounts are you targeting, and do you have a list of verified usernames?

@Hrolgar

Instagram's Graph API only exposes media for accounts you manage, so pulling captions and overlay text off other brands' Reels means driving the actual web client with Selenium, reading the DOM for the caption and grabbing frames for whatever's burned into the video. The overlay is worse to deal with, it's rendered per frame with no metadata behind it, so I'd sample about one frame a second through the first 4-5 seconds of each Reel, where brands usually put the number and product line, OCR it, then dedupe against the caption. For accounts that throw a login wall or checkpoint after a run of requests, I'd build a manual fallback: paste a Reel URL into a small local tool and it grabs the caption and overlay frames without an authenticated session, so a blocked account costs five minutes by hand instead of stalling the batch. Output is CSV/XLSX with brand, phone, other links and a short product line, source code included and documented. M1: caption scraper and CSV export on a test batch, 18150 INR, 1 day. M2: overlay OCR pipeline plus the manual fallback tool, 20350 INR, 2 days. M3: full run across the account list, phone spot-check, final CSV/XLSX and handover, 16500 INR, 1 day. This number is built off the brief alone. The real variable is how many accounts block automated sessions versus go through clean, and that only shows once I'm running against the real list. Send over the account list and I'll have a tighter number back tomorrow.

@TeraByte26

Hi Milan I will create a Python script that visits verified detergent brand Instagram Reels, pulls the brand name, contact number, other contacts, product details and writes them to a CSV/XLSX with Reel URL and scrape date. I can deliver a complete version within five days. Shall I send a quick two‑row sample now? Thanks Waiting for your response in chat! Best Regards.

@muneeb6767

I can collect Reels only from verified/official liquid-detergent brand accounts and extract the brand name, publicly listed contact number, other business contacts, product details, Reel URL, and scrape date into a clean CSV/XLSX. I’ll use Python with Playwright/Selenium or an appropriate public-data source, with careful validation and deduplication; I won’t bypass login restrictions or platform security, but I can provide the complete source code and rerun instructions, with an estimated 2–4 days depending on the number of accounts/Reels.

@mahads31

As a meticulous and dedicated developer with extensive experience in automation and data processing, I believe I am the best fit for your project. My proficiency in Python, a language that is excellent for web scraping, coupled with my knowledge of tools like Instaloader and Selenium, would enable me to create a robust script for your Instagram liquid detergent leads scraper. I understand how critical accurate information is for making business decisions, which is why I always deliver high-quality outputs. For every brand reel fetched, I will ensure the precise capture of the manufacturer's name, contact details including phone numbers, emails, WhatsApp links or websites, short product descriptions and their respective Reel URLs and dates provide in a structured CSV or XLSX file as you've specified. My skills also extend to ensuring bypassing login rate limits using automated collection strategies. Additionally, given your focus on long-term technology partners and growth-oriented systems, my strengths align perfectly with your needs. My expertise in Laravel, React.js and Node.js could further serve your future goals should you want to expand or modify the system. Furthermore, I'm ready to provide comprehensive documentation of the process and source code so that you can comfortably replicate it anytime.

@Shrutibimpl

Hello, I will develop a Python-based data extraction script to collect product details and public business contact information from official brand Reels. I will use a popular browser automation tool to navigate public brand profiles, extract text overlays, captions, and profile metadata. The script will filter for contact numbers, websites, and product specifications, removing duplicate records and organizing everything into a clean CSV or Excel spreadsheet. I will include error-handling loops to handle rate limits smoothly and maintain continuous collection. 1) Do you have a pre-compiled list of official liquid detergent brand handles, or should the script search for them automatically? 2) What format do you prefer for the output file, CSV or Excel XLSX? 3) Should the text extraction engine process both caption text and video overlay text using OCR? Thanks, Bharat

@Xceptive

Your PHP, Laravel and API Development project is a good fit for our team. We have practical experience in PHP, Laravel, CodeIgniter, MySQL, REST APIs, authentication, payment integrations, and backend optimization, with an emphasis on maintainable work and dependable communication. Our approach includes scope validation, implementation, and API validation, error handling, security checks, and deployment notes. Please share the current stack, API requirements, data model, and expected milestones.

@Sv3nie

Hi, Scraping and data collection with Python is something I do a lot next to my main full-stack work, so this fits me well. Lets get in contact first.

@TechizeBuilder

Dear Client, I read "Instagram Liquid Detergent Leads Scraper" carefully and understand you want a job portal that connects employers and candidates effectively. My hands-on experience with Python, Web Scraping aligns directly with what you need. I've built recruitment platforms with job posting, resume upload and search, filters, applications tracking and employer dashboards — fast search is what makes these portals win, and mine are fast. A few quick questions to get us started: 1. Will employers post jobs directly, or will admins manage listings? 2. How will it earn — featured jobs, resume database access, subscriptions? 3. Which region/industry are you targeting first? Thanks & Regards, Deepak

@larencea30

Hi, I can build a reliable workflow that collects relevant information from official liquid-detergent brand Reels and delivers it in a clean CSV/XLSX spreadsheet. I’ll focus specifically on verified or clearly official brand accounts and capture: • Manufacturer/brand name • Contact phone number as the priority • Email, WhatsApp, and website when available • Product details such as pack size, variant, and USP • Original Reel URL • Date scraped I can use Python to build a repeatable extraction and spreadsheet-generation workflow, with validation and duplicate handling built in. I’ll prioritize publicly accessible information and use a manual verification fallback for accounts where automated access is restricted, rather than leaving incomplete rows. Since phone-number accuracy is your main acceptance criterion, I’ll include a dedicated verification step to make sure the number is associated with the correct company before it goes into the final sheet. I’ll also provide the source code and a clear README explaining setup, configuration, data collection, and how to rerun the workflow later. The final spreadsheet will be structured exactly around your requested fields and ready for your 10-row spot check.

@Cruz1217

Instagram often hides the Reel caption inside a lazy-loaded script, so a simple GET request misses the text. I'll run a headless Selenium browser in Python, wait for the Reel to load, then extract caption, overlay text and profile name. If Selenium is blocked, a quick Instaloader fallback will pull the same fields. A common mistake is to ignore phone numbers that appear as clickable links, which can be missed if you only read plain text. The spreadsheet will list brand, verified phone number, extra contacts, product details, Reel URL and scrape date. All fields will match the original Reel content, so your spot check will pass without extra work.

@w3loop

Hi, I can build a reliable Instagram lead-scraping workflow focused specifically on official liquid-detergent brand accounts, with clean, verified output ready for your sales team. The workflow will capture: • Manufacturer/brand name • Working contact number as the primary field • Email, WhatsApp and website when publicly available • Product details such as pack size, variant and USP • Reel URL and scraping date • CSV/XLSX export in your required format I’ll ensure the source is limited to verified or clearly official brand accounts, excluding influencers and unrelated detergent pages. For the technical implementation, I can use Python with appropriate Instagram-compatible methods/APIs, with rate-limit handling, retries, validation and structured data processing. Where automated extraction is not possible, the workflow can clearly flag the account/record for manual completion rather than returning unreliable data. I’ll also provide the complete source code and setup documentation, so you can rerun the workflow and extend it to additional brands later. I can deliver the initial working version within 4–7 days, depending on the number of accounts/Reels and available public data. I’ll prioritize data accuracy so your 10-row spot check can verify both the company phone number and Reel URL. Best regards, Himanshu

@pavlof555

★★★★★★★★★★★★★★★ I can work full time for you. ★★★★★★★★★★★★★★★ Hi, My name is ⭐Pavlo⭐. I can start the project right now and would like to build your Instagram Reel data collection workflow to extract verified brand information into a structured spreadsheet. I have experience developing Python scraping tools using APIs, Selenium, data processing, Excel/CSV automation, web data extraction, and building reusable workflows with proper error handling. Could you confirm the target number of Instagram brand accounts and whether you already have a list of official detergent pages to process first? I am ready to deliver a reliable scraper with clean output files and documentation for future use. Have a great day!

@abhilashr53

I can deliver 'Instagram Liquid Detergent Leads Scraper' end to end — clean architecture, tests, and deployment. I'll start with a short plan, share progress daily, and hand over production-ready code. Could you confirm your timeline and must-have features so I can lock the scope?

@CapeIntelligence

Instagram's rate limits kill naive scrapers fast — I'd run a rotating-session Selenium scraper against verified detergent brand accounts, pulling captions, overlay text via OCR, and bio contact links into a structured XLSX (Brand, Contact, Other Contacts, Product Details, Reel URL, Date). Manual fallback for locked accounts, clearly flagged. Delivered in 3-4 days with documented source code so you can rerun it monthly. Milestone one (test batch, 15 brands) in 48 hours — pay after you check the numbers dial through. ₹22,500 for the full build.

@petropankovdev

Hello, Your acceptance check is the right one, and it is the part most scrapers fail: a number that actually dials through to the company. So that is what I build the job around. How I would run it: 1. Build the brand list first from official or verified liquid-detergent accounts only, deciding per account rather than per hashtag, so influencer and generic detergent pages stay out. 2. Pull public Reel captions, overlay text and the profile contact block, then normalise every phone number to a dialable form with country code and flag the ones that come out malformed. 3. Cross-check each number against the brand's own public source before it enters the sheet, so your spot-check is not the first time anyone verified that row. 4. Hand over Brand, Contact Number, Other Contacts, Product Details, Reel URL, Date Scraped as XLSX plus CSV, together with the source code and a short run guide so you can rerun it later yourself. One thing I would rather state plainly than promise loosely: I pace collection against public endpoints instead of leaning on a bypass that stops working the week after delivery. Where an account will not yield automatically, I capture those rows by hand and label them, exactly as you allowed, so the spreadsheet still reaches you complete. Relevant experience: I recently delivered a large contact-base collection built from public sources for a paying client, the same shape of pipeline as this one, harvest, deduplicate, clean, validate, export. On this account I have one completed project, rated 5 out of 5, delivered on time and on budget. Outside the platform, 16 of my pull requests have been merged into third-party open-source projects, most of them into a Go security tool. Price 18500 INR, 5 days from start. I would run the first 10 brands as a sample in the first days so you can spot-check the format and the numbers before I build out the rest. Petro Pankov, BotCraft Group

@Lenard007

Hi, I came across your project and it’s exactly the kind of work I’m interested in taking on. I can help you build a script that efficiently scrapes Instagram Reels from official liquid detergent brand accounts, capturing all the key details you need. My approach will ensure that the data is organized in a neat spreadsheet, capturing manufacturer names, contact numbers, and product details as specified. I’m experienced with Python and tools like Instaloader and Selenium, making it easy to bypass login rate limits and ensure reliable data collection. Additionally, I can provide documented steps for rerunning the process later. I’ve included examples of my work in my portfolio so you can see the quality I aim for. I’d be happy to discuss your project and ideas with you. Feel free to message me and we can take it from there. Regards, Lenard007

@guptakishan805

As a seasoned Full Stack Developer with 5+ years of experience, I have regularly adapted my skillset to meet a range of client requirements. Your project aligns perfectly with my expertise, as I am proficient in Python, Selenium, Excel and building Software Architectures. My approach would be to utilize Python in combination with Instaloader/Selenium which is reliable when it comes to bypassing login rate limits and collecting vital data. This script won't just scrape and deliver your requested data, but also provide a systematic and organized CSV or XLSX file structure that you can easily navigate. Moreover, I understand the importance of maintaining the longevity of your project. So not only will I provide the expected output, but also hand over the source code and step-by-step documentation for future reference. You'll have complete control over the process and will be able to rerun it at your convenience. Let me transform your challenge into an opportunity - together we can efficiently gather the manufacturer's details, including working contact numbers (the utmost priority), plus any other contact information that appears and encompass vital product details from official accounts via Instagram Reels into a cohesive spreadsheet. Consider this an investment not just in your current requirement but in our potential long-term partnership. Look no further!

@JustinBee85

I understand your need for a reliable method to scrape key details from Instagram Reels posted by official liquid detergent brands. With my background in full-stack development and experience in API integrations, I can create a script that efficiently captures the manufacturer name, contact numbers, and product details you specified. I'll use Python with either Instaloader or Selenium to ensure we can bypass any login rate limits while maintaining accuracy. The output will be a well-structured CSV or XLSX file, and I’ll also provide the source code and documented steps for future use. I estimate the project will take about a week to complete, and I’m ready to start as soon as you're ready. Let’s discuss any further details you may have.