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I need an [login to view URL] power-user to build several clean, well-tagged company lists. Must have Apollo account with API access. I will provide a clear set of filters—company type, size, location, and industry—so you can jump straight into search mode without guessing. Your job is to: • Apply the exact filters I send for each list • Follow the SOP for adding companies to lists, naming conventions, etc
Project ID: 40709861
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Active 5 days ago
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10 freelancers are bidding on average ₹1,024 INR/hour for this job

APOLLO COMPANY LISTS FAIL WHEN FREELANCERS RUN BASIC SEARCHES INSTEAD OF FILTERING FOR ACTUAL DATA DENSITY AND CLEAN TAGGING. Applying filters is simple, but building high-yield lead lists requires precise naming conventions, strict deduplication, and adhering to SOPs so your outbound engine runs smoothly. Here is how I will build your company lists: • Precise Filter Application: Executing exact search parameters (size, location, industry) via Apollo API with zero guessing. • SOP & Tagging Compliance: Enforcing custom naming structures, account tags, and list organization for instant integration. • Data Curation & Deduplication: Scrubbing redundant domain profiles to preserve export credits and clean record health. • API Efficiency: Leveraging API access for seamless batch exports and accurate list creation. I ensure your lists are structured, pristine, and instantly ready for your campaign pipeline. Are you looking to run these company lists all at once, or build them in phased batches per industry? Send me a message and let's get started. Nuel.
₹1,000 INR in 40 days
3.4
3.4

Hi, clean company lists in Apollo, built to your filters and named the way your SOP says. The thing that bites is overlap, two filter sets pulling the same company twice. How I would run it: each filter set saved as a search, results pulled through the API page by page, deduped on domain against what's already in the list, then added with the SOP naming and a log row per add. How many lists in the first batch? I have built the same deduped company pull for a sales team feeding their CRM. Happy to do the first list so you can check the tagging before the rest. Regards, Zohaib
₹1,250 INR in 40 days
1.6
1.6

You need precise Apollo company lists built from fixed filters, with consistent naming and tagging rather than loosely matched lead exports. I’m comfortable working with structured datasets, API-driven tools, and strict operating procedures. I’ll apply each company type, size, location, and industry filter exactly as provided, review the results for obvious mismatches and duplicates, then organize every list according to your naming and tagging rules. Before processing the full batch, I can complete one small sample list so you can verify the search criteria and output structure. I’ll also maintain a simple record of filters used, companies added, exclusions, and any ambiguous results requiring review. How many lists and estimated companies per list do you need, and does your SOP include exclusion or deduplication rules?
₹800 INR in 40 days
0.0
0.0

Hi, I have developed several projects of this kind, and at their core they involve using Apollo with API access to build clean, well-tagged company lists by applying exact filters and following a fixed SOP for list structure and naming. ? The most important and difficult part is applying the filters precisely and keeping every list clean, consistently tagged and named so the data stays usable. ✅ When I developed this kind of project, I actually faced filter drift where results did not match the requested criteria, duplicate and low-quality companies slipping into lists, and inconsistent naming that made lists hard to manage. I solved this by working from your exact filter sets without guessing, using the Apollo API to pull results programmatically so the same filters were applied every time, deduplicating and validating entries before adding them, tagging and naming each list strictly per your SOP, and logging what was built so lists could be reproduced or extended later. ✅ The result is that the lists came out clean and well-tagged, matched the requested filters exactly, and stayed consistent and easy to manage for future use. I can contribute to implement your idea with this kind of experience. Looking forward to discussing with you about your vision. Best regards, Michel
₹900 INR in 40 days
0.0
0.0

New Delhi, India
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