
Strong.app
Hevy
Fitbod
MyFitnessPal
JEFIT
Freeletics
Strava
FitNotes
Bright Data
Oxylabs
Decodo
NetNut.io
IPRoyal
Apify
Zyte
SOAX
Strong.app
Bright DataWe used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.
Based on our record, Bright Data seems to be a lot more popular than Strong.app. While we know about 45 links to Bright Data, we've tracked only 3 mentions of Strong.app. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm using Strava to track endurance work and strong.app for lifting. I'm pretty happy with Strong, but it is a subscription app if you want to save more than three custom workout routines (they also have some of the popular beginner programs pre-populated). Source: over 4 years ago
You should all workouts with a app like strong.app or any other you find. Fitbod also seems to have good stuff now. Check their reviews etc. Source: over 4 years ago
Looks like a great app! I run 5/3/1 and this is perfect. Currently I use https://strong.app but I'd love to see a way to see my weekly volume per muscle group. Is that something you are planning to add on Hardy? - Source: Hacker News / about 5 years ago
Happy to offer a counter of some great products for anti-bot defeat: https://brightdata.com/ https://www.zenrows.com/ https://www.capsolver.com/ https://scrapfly.io/ hundreds of millions of residential ips, human browser fingerprints, custom browser binaries, auto solve of turnstyle, recaptcha v3, kasada, datadome, AWS WAF, etc if they come up. - Source: Hacker News / 25 days ago
The best web scraping tools 2026 leaderboard hasn't changed; the gap has narrowed. Bright Data remains the safest bet for any team that wants to spend time on the data, not on the scraping. The 660-scraper library, 400M-IP network, pay-per-success pricing and unlimited concurrency are still uncontested at the high end. - Source: dev.to / 3 months ago
Infrastructure Pass-Through (OpEx) Data extraction at scale is infrastructure-heavy. Bypassing modern Web Application Firewalls (WAFs) requires high-quality residential proxies, CAPTCHA solvers, and substantial browser-automation compute resources. Services like Bright Data charge significantly by the gigabyte for premium residential IPs. These variable infrastructure costs must be passed directly to the client,... - Source: dev.to / 3 months ago
Bright Data has successfully defended web scraping in U.S. Courts and offers LinkedIn datasets pre-collected and ready to download. LinkedIn profile data on their dataset marketplace runs around $250 per 100,000 records. The freshness caveat is real: bulk datasets are snapshots, not real-time. If you need current job titles on a rolling basis, you're better with an enrichment API than a one-time dataset pull.... - Source: dev.to / 4 months ago
Bright Data built an open-source demo that solves this. It's called the Signal Terminal, a financial research tool built around that problem. - Source: dev.to / 5 months ago
Hevy - Simple workout logging, insightful analytics, and a growing community of gym athletes.
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
Fitbod - Personalized Strength-Training powered by Machine Learning
Decodo - Decodo is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.
MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.