ScrapeBadger

2,000+ developers use ScrapeBadger to scrape Twitter, Reddit, Google, Amazon & more. No blocks, no headaches.

[ScrapeBadger @scrapebadger]

ScrapeBadger = infrastructure for web data.

APIs built for scalable scraping, automation, and data pipelines.

Support: https://t.co/adAf63bvGm
Docs: https://t.co/s4Cah2DXXF

DMs open if you’re building with scraped data.

[ScrapeBadger @scrapebadger]

ScrapeBadger is a web scraping API platform specialising in Twitter/X, Reddit and Google data, with dedicated scrapers also covering TikTok, YouTube, LinkedIn, Amazon, eBay, Zillow and 40+ more: with built-in anti-bot bypass and an MCP server for AI agents.

[ScrapeBadger @scrapebadger]

ScrapeBadger enters real estate 🏠

Zillow, Redfin, Realtor, Idealista, Immobiliare and LoopNet are now live.

Structured property data across the US, Europe and beyond — listings, price history, agent contacts, and more. Clean JSON, no proxies to manage.

[ScrapeBadger @scrapebadger]

@ShinkaIoT Thanks a lot for mentioning!

[ScrapeBadger @scrapebadger]

@lazydev05 Thanks for sharing that!

[ScrapeBadger @scrapebadger]

YouTube has 800 million videos.

The official API lets you search 100 of them per day.

We built something different.

39 endpoints. No quota. No API key. Videos, channels, Shorts, comments, transcripts, trending, live chat.

👉 https://t.co/YHy2SFua3c

[ScrapeBadger @scrapebadger]

eBay Scraper API is live. 🛒

Search listings, pull sold-price history, item detail, reviews and seller data, across 18 eBay marketplaces.

No eBay API key. Clean JSON.

👉 https://t.co/dDOZGBcw12

[ScrapeBadger @scrapebadger]

TikTok Scraper API is live 🚀

Search videos, scrape comments, pull user profiles, monitor hashtags and trends - all without touching TikTok’s official API.

No proxies. No bans. Clean structured JSON.

https://t.co/ydYnkE53by

[ScrapeBadger @scrapebadger]

Amazon Scraper API is live

Search products, track prices, pull reviews, monitor deals and seller data, across 20 Amazon marketplaces.

No proxies. No CAPTCHAs. No WAF headaches. Just clean JSON.

Also available via MCP👉 https://t.co/jAfVSFyH7D

[ScrapeBadger @scrapebadger]

Last Friday every Reddit scraper broke overnight, including ours

We fixed it in 24h, shipped, and talked about it openly while competitors went quiet

Their users found us

Worst launch timing → best acquisition we've had

Reddit Scraper API is live👉 https://t.co/O71dKIqVmM

[ScrapeBadger @scrapebadger]

We just hit 1000 active users 🎉

Thank you for the trust, the feedback, and the feature requests. Every one of you shaped what ScrapeBadger is today.

We're just getting started 🚀

👉 scrapebadger.com-

[ScrapeBadger @scrapebadger]

We just hit 500 active users!

When we started ScrapeBadger, we wanted to answer one question: what if scraping any website was as simple as sending a URL?

500 developers and data teams later, we think we're onto something.
👉 https://t.co/afL8qUO2os

#scraping #python #data

[ScrapeBadger @scrapebadger]

We just shipped a general web scraping API 🚀

Scrape any site without dealing with:
> proxies
> rate limits
> CAPTCHAs
> broken scripts

Send request → get structured data.

Still in beta would love feedback 🙏
https://t.co/7rSHbnOxys

[ScrapeBadger @scrapebadger]

What could you build with real-time Twitter data?

We just dropped a tutorial on streaming tweets as they’re posted.

Perfect for dashboards, alerts, and AI pipelines.

🎥 https://t.co/vKb6owzndj

[ScrapeBadger @scrapebadger]

Scraping 100 tweets is easy. Scraping 50,000 per week without losing data is a different problem entirely.

Pagination gaps, schema drift, silent duplicates — none of this shows up until scale does.

https://t.co/KthN6SnySz

[ScrapeBadger @scrapebadger]

Keyword scraping misses the best data on Twitter.

Reply threads are where the real signal is. Complaints, opinions, word-of-mouth they all buried in conversations.

Here is how to collect them properly.

https://t.co/yjmmUBwcjB

[ScrapeBadger @scrapebadger]

Bad training data does not crash your script. It just makes your model quietly wrong.

Most Twitter datasets fail before the model ever runs. Here is how to build one that actually holds up.

https://t.co/cbn57kwRlP

[ScrapeBadger @scrapebadger]

Looking for ways to scrape tweets by keyword for FREE? We've got you 👇
https://t.co/ZF6K8sQo5d

[ScrapeBadger @scrapebadger]

🔥Hot take: A cron job that searches Twitter every 10 minutes is not monitoring.

It’s just slow scraping.

Real monitoring pushes events the moment tweets appear.

We explain the difference (and when to use each):

→ https://t.co/tjboDhVVME

[ScrapeBadger @scrapebadger]

Check out our new video tutorial on how to scrape Twitter user tweets in a few simple steps with ScrapeBadger for FREE 🚀

https://t.co/wnF2ojrwGb

[ScrapeBadger @scrapebadger]

Most Python scripts for exporting tweets break the moment you scale them.

Common problems:
• pagination gaps
• duplicates
• inconsistent fields
• corrupted CSV files

We wrote a guide on building a reliable tweet → CSV pipeline in Python.

https://t.co/SIUnhE0WAN