The 10 Best Data Collection Services of 2025 (APIs, Datasets & Managed Scraping)
The ability to gather structured, public web data is a critical competitive advantage. While building an in-house scraping team is one option, many businesses now turn to specialized data collection services to accelerate their time-to-insight. These platforms provide everything from ready-made datasets to sophisticated scraping APIs, handling the complex infrastructure of data extraction for you.
However, the vendor landscape is crowded and complex. As experts in the foundational proxy infrastructure that powers these services, we at LycheeIP have created this guide to help you navigate your options. We will break down the different types of services, provide a framework for evaluation, and review the top 10 providers on the market today.
What Is a Data Collection Service?
First, it's important to understand that a "data collection service" is not a single type of product. Most offerings fall into one or more of these categories:
- Web Scraping Platforms: These are no-code or low-code tools and managed browsers that allow you to build and run your own scrapers at scale, often with built-in proxy management.
- Collection APIs: These are purpose-built endpoints designed to extract data from specific, high-value sources (e.g., SERP APIs for search results, product APIs for e-commerce sites).
- Datasets & Marketplaces: These services offer pre-built or custom-curated datasets that are refreshed on a schedule, delivered with a standardized schema.
The right choice depends on your target sources, engineering resources, and how quickly you need the data.
Use LycheeIP's High Performance Network Now
The LycheeIP Framework for Choosing a Vendor
With these different models in mind, selecting the right vendor requires a structured evaluation. Our experts use the following checklist to compare services.
- Coverage & Freshness: Does the service cover your target websites and geographies? How often is the data updated?
- Success Rate & SLAs: What are the provider's uptime guarantees and real-world success rates for your targets?
- Schema Quality: Is the data delivered in a clean, normalized, and stable format?
- Compliance: Does the provider adhere to a lawful and ethical sourcing model, in line with regulations like GDPR and CCPA?
- Delivery & Access: How is the data delivered? (e.g., REST API, Webhooks, S3 bucket).
- Tooling & Support: What kind of dashboards, logs, and expert support (e.g., solution engineers) are available?
- Pricing Model: Is it a transparent model based on usage (GB, rows), jobs, or seats? Are there free trials or proof-of-concept (POC) options?
Use LycheeIP's High Performance Network Now
A Review of the Top 10 Data Collection Services for 2025
1) Bright Data
What it is: Large catalog of scraping APIs, unlockers, and a dataset marketplace (prebuilt + custom).
Strengths: Breadth of sources, enterprise tooling, compliance controls.
Use when: You want both APIs and dataset options from one vendor.
2) LycheeIP
What it is: B2B datasets and APIs (companies, employees, jobs, startups).
Strengths: Workforce analytics focus, historical headcount signals.
Use when: You need ready‑to‑use B2B data with enrichment APIs.
3) DataHen
What it is: Custom scraping, API integrations, and ETL/BI services.
Strengths: Bespoke pipelines with delivery into your stack.
Use when: You prefer a managed service over building scrapers.
4) HabileData
What it is: Data operations BPO (entry, enrichment, processing) plus web research/scraping.
Strengths: Scale operations, quality control, turnaround SLAs.
Use when: You need people + process alongside tech.
5) Infatica
What it is: Scraping API with JS rendering, geo‑targeting, rotation; custom datasets.
Strengths: Straightforward APIs with managed proxying.
Use when: You want a simple API for mixed static/dynamic sites.
6) NetNut
What it is: Unlocker & SERP/API tools; enterprise‑oriented collection.
Strengths: Robust anti‑bot handling and support.
Use when: You need unlocker + API with solution engineers.
7) Octoparse
What it is: No‑code visual scraper + on‑demand data service.
Strengths: Quick POCs, templates, cloud runs.
Use when: You want point‑and‑click scraping with managed runs.
8) Oxylabs
What it is: Web/retail/serp APIs and curated datasets (company, e‑commerce, jobs, community).
Strengths: Enterprise features, dataset SKUs, docs.
Use when: You want catalog depth and service mix.
9) Smartproxy
What it is: Site Unblocker + scraping APIs (social, e‑commerce, SERP).
Strengths: Friendly onboarding, budget‑sensitive tiers.
Use when: You want quick API wins with decent coverage.
10) Zyte
What it is: Scraping platform, AI‑aided extraction, and data delivery services.
Strengths: Legal/compliance guidance, high‑level APIs.
Use when: You want vendor‑managed extraction with clear governance.
Use LycheeIP's High Performance Network Now
Ready-Made B2B Datasets
(This provider specializes in pre-built datasets for business intelligence and analytics.)
- Coresignal: The go-to provider for B2B datasets, offering extensive data on companies, employees, jobs, and tech stacks, with a strong focus on workforce analytics.
No-Code & Managed Custom Services
(These providers are for teams who want to outsource the scraping process, either through a visual tool or a fully managed service.)
- Octoparse: A popular no-code, point-and-click visual scraper that is excellent for rapid prototyping. It also offers an on-demand data service for larger projects.
- DataHen: A custom, managed scraping service that builds bespoke data pipelines and delivers the data directly into your existing stack (e.g., your database or BI tool).
- HabileData: A data operations BPO (Business Process Outsourcing) firm that provides web research and scraping services with a focus on human-led quality control.
The Foundation: Powering Your Service with High-Quality Proxies
Many of the services listed above have built-in proxy networks. However, for maximum control, performance, and cost-efficiency, you often need to use your own. This is where a high-quality proxy provider like LycheeIP becomes the essential foundation for your data collection stack.
How to Integrate LycheeIP:
- Pick the Right Proxy Type for the Job: Residential (Rotating): For large-scale scraping of public endpoints.ISP (Static): For any target that requires a stable login session.Datacenter: For high-throughput scraping of less sensitive targets.
- Connect to Your Jobs or APIs: Most services allow you to configure a custom proxy. Simply input your LycheeIP credentials (http://USER:PASS@proxy.lycheeip.com:PORT).
- Tune for Success: Start with per-request rotation for anonymous scraping, and use 5–15 minute sticky sessions for paginated or session-based flows. Always implement a retry strategy with exponential backoff.
Use LycheeIP's High Performance Network Now
Frequently Asked Questions (FAQ)
What’s the difference between scraping APIs and datasets?APIs deliver live, real-time data for each request you make. Datasets are pre-built collections of data that are curated and delivered on a periodic schedule (e.g., monthly).
Are data collection services legal?
Yes, when used responsibly. This means only collecting public data, respecting a website's Terms of Service, and complying with all applicable data protection laws like GDPR and CCPA.
Do I still need my own proxies if a service has them "built-in"?
Often, yes. Using your own proxy provider like LycheeIP gives you greater control over geo-targeting, IP quality, and session management. It can also be more cost-effective for large-scale operations.
How do I estimate the total cost of a project?
The true cost is a combination of the vendor's fees, the cost of your proxy traffic, and your team's engineering time. The most accurate metric is to calculate the cost per 1,000 usable rows of clean data.