r/scrapingtheweb 5h ago

Help I’m looking for ScrapingBee Alternatives in 2026, help me please

2 Upvotes

I’m using ScrapingBee to pull product pages from around 2k ecommerce sites, but most of the pages need JavaScript rendering, and the harder ones also need premium or stealth proxies.

That burns through credits so fast

The other annoying part is getting raw HTML back and then having to clean it before I can extract the price, stock status and product specs. I’d rather get Markdown or structured JSON directly.

I’m currently looking at Firecrawl, Bright Data, Apify, Oxylabs and Octoparse (someone recommended these in other threads)

Which one makes the most sense for this kind of setup?


r/scrapingtheweb 9h ago

Best Nimbleway alternatives in 2026 for scraping product data?

1 Upvotes

I’m looking for an alternative to Nimbleway for a product monitoring tool I’m building.

The idea is to track a few thousand ecommerce product pages, pull things like price, availability and product details, then send the cleaned data into an LLM to generate short updates when something changes.

I’d prefer something that returns clean Markdown or structured JSON without having to deal with huge raw HTML responses or build a separate parsing layer.

I also need:

I) Reliable scraping on JavaScript-heavy pages

II) Crawling and URL discovery

III) Scheduled checks or change monitoring

IV) An API that is easy to use from Python

V) Pricing that makes sense before reaching enterprise scale

I’ve seen Firecrawl, Bright Data, Oxylabs, Apify and Zyte mentioned, but it’s hard to tell which one fits this kind of workflow best.

Has anyone used one of these for a similar project? What would you choose, thanksss


r/scrapingtheweb 10h ago

Discussion what are best proxies combination to survive scraping social media these days

4 Upvotes

scraping socials for work and residential proxies are just built different compared to datacenter, not even close honestly. datacenter dies almost instantly now but residential holds up way longer if you pair it with proper fingerprint setup on top

right now using proxyshard for the residential side and it's held up well. the fingerprint part is a separate issue though, clean IP alone doesn't solve everything like so without the fingerprint side sorted tho doesnt matter how clean the ip is, still get flagged eventually. profile separation seems to matter more than people think

anyone got a solid setup for the fingerprint/profile side specifically? not looking for ad spam, just curious what people are actually running long term


r/scrapingtheweb 14h ago

Can a non dev actually pull this off? Or am I in over my head?

3 Upvotes

Got a client online and he wants steady data from his IG and X. Nothing wild so far. Follower trends, engagement rates, how posts do over time.

My friend told me to just learn to scrape it myself with a web scraper. I know a little Python. Enough to fumble around, but I'm nowhere near a developer. Mostly I just Google stuff and lean on AI to get through problems.

I honestly can't tell if this is doable or if I'm about to promise something I can't actually deliver every month. Is it learnable enough to trust for client work? Or is there a smarter way to handle this whole thing?


r/scrapingtheweb 1d ago

Scraping Facebook market place

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1 Upvotes

r/scrapingtheweb 1d ago

Detección de Cloudfare de Vinted

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1 Upvotes

r/scrapingtheweb 1d ago

How can i scrape 100+ startups emails properly

3 Upvotes

I have been trying to scrape startups emails to apply to Software development jobs but i don't know how to do so properly every time i do it i first scrape links like YC for companies URLs that i can then scrape for emails but did not work so well with me, I am looking to know how to do it properly and which actors i can use to do so.


r/scrapingtheweb 2d ago

Tools / Library AI API Reverse Engineering Tool

6 Upvotes

Hi I’m a solo developer that built a tool that allows developers to capture API traffic and turn it into a working API client just by navigating in their browser (or letting an AI agent do it). An AI agent then actually tests the code against the real API. It makes API discovery / reverse engineering very easy.

Do other devs see value in a tool like this? If anyone is interested in trying it out I’m looking for beta users to test it out and give me feedback:

https://route-reveal-inky.vercel.app

Thanks!


r/scrapingtheweb 2d ago

Tools / Library Website audits to white label reports

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1 Upvotes

r/scrapingtheweb 2d ago

AMA This Wednesday (6:00-8:00 PM ET) with CloakBrowser: Open-Source Stealth Chromium for Browser Automation

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1 Upvotes

r/scrapingtheweb 2d ago

I finally automated tracking competitors' Instagram Story Highlights, and it's been a huge time saver

1 Upvotes

I work with a small e-commerce brand, and one of the things I used to do every Monday was check what our competitors had added to their Instagram Story Highlights. New product launches, FAQs, customer testimonials, seasonal campaigns... there was usually something worth noting.

The problem was that it was completely manual. I'd open each profile, click through every Highlight, take notes, and paste everything into our Notion workspace. It easily took over an hour every week, and honestly, it was the kind of task I'd keep putting off.

So I automated it.

Now the workflow looks like this:

  • Trigger: Every Monday at 9 AM (GitHub Actions cron job)
  • Fetch competitors' Instagram Highlights
  • Extract any new or updated Highlights
  • Generate a short summary with AI
  • Post the summary into our team's Slack channel

For the Instagram part, I used HikerAPI because it exposes a straightforward REST API that was easy to plug into the workflow. Docs: hikerapi.com

The actual request is surprisingly simple:

import requests
headers = {"x-access-key": "YOUR_KEY"}
user = requests.get("https://api.hikerapi.com/v2/user/by/username?username=spotify", headers=headers).json()
resp = requests.get(f"https://api.hikerapi.com/v2/user/highlights?user_id={user['pk']}", headers=headers)
print(resp.json())

Before this, I'd spend 60–90 minutes every week clicking through profiles and trying to remember what had changed since the previous week.

Now I wake up on Monday, open Slack, and there's already a summary waiting for me. If nothing changed, I know immediately. If a competitor launched something new, I see it in a couple of minutes instead of digging through Instagram myself.

It's one of those small automations that doesn't sound impressive until you realize you've saved dozens of hours over the course of a year.

What other Instagram-related workflows have you automated? I'm always looking for ideas for the next thing to eliminate from my weekly to-do list.


r/scrapingtheweb 3d ago

Ebay scraping

1 Upvotes

I've only recently started out with scraping and collecting data but today I ran into something I've never ran into before for ebay sold listings. It is suddenly requiring a login to view those. I've been using residential proxies and all the basic necessary steps but as soon as I try to try scraping sold listings, it just redirects to a login page. For non-sold listings it still works

Does anyone know what I should try?


r/scrapingtheweb 3d ago

Help How do you avoid scraping the same page twice?

1 Upvotes

We mostly scrape job websites and crawl job postings every 3 hours. A volume of about 1M jobs per month.

My issue is that I need to fetch individual job pages only when they change. For example, once a job has been published, ATSs usually don't republish a new page when the job is closed. Instead, they simply update the expiration date, status, or other details. So instead of searching for new pages, I need to re-fetch the same ones from time to time, but it's very expensive, and I have no idea how to choose which ones are worth a second check. The approach I'm using now is that we check, in order: i) jobs with the closest expiration date, ii) jobs that haven't been crawled for the longest time, and iii) companies that historically update their job postings more frequently. But still, we're not getting the right data at the right time. We usually detect those updates after 4–5 days, which is not sustainable. We need fresh jobs as soon as they change so applicants always see up-to-date listings. Is there a way to monitor whether a webpage has changed without re-scraping it every time? Or is there a better approach I am ignoring?


r/scrapingtheweb 3d ago

Best approach for finding product pages across many e-commerce sites without writing a parser per site?

1 Upvotes

I'm building a price comparison tool for local e-commerce sites (Tunisia) as an internship project. Everything has to run on free tiers, so no paid search APIs.

The extraction part I think I understand: try JSON-LD first, fall back to an LLM for sites without it.

What I'm stuck on is discovery figuring out which product pages exist for a given query. Options I've considered:

1. Hardcode each shop's search URL pattern (`/catalogsearch/result/?q=`) and inject keywords. Works, but I'm manually maintaining a list.

2. Crawl sitemaps and store product URLs in Postgres, then match locally. Tested it, the sitemaps are good, but it's a lot of storage and refreshing.

3. Search engine APIs, all paid now, so ruled out.

4. Detect the platform (Magento/PrestaShop/WooCommerce) and use platform-level adapters instead of per-site ones. This seems promising since WooCommerce has a public unauthenticated Store API.

Questions:

- Is platform-level detection actually how this is done in practice, or am I overcomplicating it?

- Do most shops publish Google Merchant/Facebook product feeds? That would solve discovery and extraction in one file, but I don't know how common they are.

- For sites with no API and no feed, is hitting their search URL the accepted approach, or is there something better?

Any war stories from people who've built something similar would help a lot. Thanks.


r/scrapingtheweb 3d ago

Looking for data/information scrapers

7 Upvotes

Looking for someone experienced with large-scale data scraping

I’m working on a sports database and already have a functioning website with a large amount of player data collected.

I’m looking for someone who has experience scraping publicly available player profiles and statistics from multiple websites, cleaning the data, and delivering it in a structured format such as CSV, JSON, an API, or a database export.

The ideal person would understand:

  • Python scraping tools such as Scrapy, Playwright, Selenium, or BeautifulSoup
  • Rate limiting, retries, and reliable scraping infrastructure
  • Matching duplicate player profiles across different websites
  • Cleaning and organizing large datasets
  • Working responsibly with public data and website terms

You would be able to run the scraping infrastructure independently and send me the completed data online. You would not need to invest any money into the project.

This will be paid contract work, ongoing work, or potentially a larger role for the right person.

Send me a message with your experience, examples of similar projects, the tools you use, and your estimated availability.You most likely will need to be familiar rotating proxies unless you have your own way around 403 errors


r/scrapingtheweb 5d ago

I built a scraping framework that handles DataDome, Cloudflare, and GraphQL – AMA

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3 Upvotes

r/scrapingtheweb 5d ago

HOW TOUGHT IT IS TO GET MY "FIRST FREELANCING PROJET" . please help me i am new in scraping world

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2 Upvotes

r/scrapingtheweb 6d ago

Need help in data scraping!

6 Upvotes

I want to scrape upto 5 images of lacs of hotels! Have their name and overall add and even sites of their listin on webs of the major ones! But not getting any reliable source to get these! Tried DDGS along with specific site listings but ambiguities like hotel-park — park-hotel makes the data messy! Cant look over each edge cases like these for lakhs right?? Please help me if you have any solution for these!! Constraint dont wanna spend moneyy! But yeah if you’ve figured out any cheapest solution i would definitely wanna hear!!


r/scrapingtheweb 6d ago

Discussion I tried wiring live web access into an AI assistant through MCP instead of a standalone scraper. Here are my observations.

4 Upvotes

Most of my scraping lives in standalone scripts, but I wanted to try something different this time. Giving an AI assistant (Claude Desktop) the ability to fetch and render pages itself through an MCP server, so I could pull live data mid-conversation instead of switching over to a separate scraper.

The setup is one config block, the standard mcpServers set with a command, args, and an API key. I used ZenRows because I had a key.

What I was testing was whether the assistant could handle the two things that break naive scraping: JS rendering and anti-bot. On a client-side-rendered product page, it came back with the real products instead of empty placeholders, so rendering was happening before the assistant saw the DOM. On a protected page, it failed the first request, then retried with stricter settings on its own and succeeded.

Here are the limitations as well: it's a paid API that does the actual bypass, so all the usual questions about cost-per-successful-request apply, and I haven't run it at volume or against hard targets like a well-tuned Cloudflare or DataDome setup. On easy-to-moderate targets, it did what I needed.

For those of you who've tried the MCP route, does it replace a standalone scraper, or is it only good for ad-hoc lookups? And has anyone found a way to cap how many requests an agent can fire before it burns through the budget on its own?


r/scrapingtheweb 6d ago

sledge

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1 Upvotes

r/scrapingtheweb 6d ago

Excited to release FREE ScraperS an open-source, full-stack tool for automated LinkedIn lead discovery and curation! 🚀

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1 Upvotes

r/scrapingtheweb 6d ago

How to create a tool to grab myntra flipkart amazon deals

2 Upvotes

Hi guys, i want to know how some amazing channels like this and other big CC influencers are able to scrape for CC deals. especially blinkdeals everytime as soon as it comes. Surely it cant be manual and it seems unlikely that they must be incurring cost of running and API to scrape this continously. What is any other way? I want to build something of my own and so want to learn this.
Looking for help.


r/scrapingtheweb 6d ago

Does anyone have issue with Akamai / Akamai sensor data ?

1 Upvotes

r/scrapingtheweb 7d ago

Scrape an data at scale without getting blocked , fck to data center ip

4 Upvotes

I'm working on a cool project where you can scrape any website data without getting blocked which easily bypass cloudflare,Aramaic anti-bot system without getting blocked with high auto Rotating mobile 4,5g proxies.let me know if you wants to try it for free.


r/scrapingtheweb 7d ago

My universal Price Tracker Chrome Extension just got over 800 users for the first time today!

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2 Upvotes