Spider Scrapers is a web scraping API that starts on the cheapest fetch.
Auto mode: 1 credit first, then 5 / 10 / 25 / 50 only if the site needs it. Failed requests are free.
5,000 trial credits, no card.
https://t.co/NOJnKJrFQl
@DeltaToolsHQ@ScrapingBee@DeltaToolsHQ@ScrapingBee That split is the whole game. Fixing selectors on a soft block just teaches your parser to expect junk, and swapping the fetch when the markup actually changed throws away a good download.
Keep fetch and parse on separate queues. When the HTML is fine and the selector is wrong, launching another browser run will not fix it — it just burns another paid download while the bug sits in your extractor.
@HancockZander@HancockZander Yep, it's live. Sign up at https://t.co/NmvTO9mpR7 — 5,000 trial credits for 30 days, no card. Blocked, timed-out, or empty responses bill zero.
Built a car auction estimator with real sale data.
We scraped the full Cars & Bids and Bring a Trailer archives on a Hobby plan: ~6.5 days, 10 at a time, ~329k credits, ~$38 all-in.
Scrape it with Spider Scrapers — blocked, timed-out or empty responses bill zero credits.
We just shipped scrolling on Spider Scrapers. Turn scroll on and it keeps going down the page so you can pull longer feeds, lazy lists, and YouTube comments — not just the first screen.
You pay the normal page price plus a bit for each scroll that actually loads new stuff. Hard scroll limit and a credit cap keep an endless page from burning your balance. Blocked, timed out, or empty still costs nothing.
https://t.co/mH1HFPK92T
@DeltaToolsHQ@ScrapingBee@DeltaToolsHQ@ScrapingBee Yeah. Status and headers next to that first-miss snapshot make the fork obvious. A green check with new markup and a soft block that still returns HTML need completely different next steps.
Strip tracking junk from a URL before you put it in the crawl queue. Two links that only differ by a campaign tag or a session id are the same public page, and fetching both costs you a second download for nothing new.
@DeltaToolsHQ@ScrapingBee Holding parse fails until the selector is fixed is the right call. One small add is to save the raw HTML from the first miss, so whoever fixes the selector can see exactly what the page sent back.
Before you crawl a public site link by link, check its robots.txt for a Sitemap line, or try /sitemap.xml. A sitemap lists page URLs, and when the site fills in the last-modified date you can fetch only what changed since your last run instead of pulling the whole site again.
@DeltaToolsHQ@ScrapingBee Exactly. Tag each miss as blocked, empty, or parse fail before you decide whether to retry. A parse miss needs a selector fix, not another expensive browser launch.
You can for a lot of public pages. Requests and Beautiful Soup still work fine on simple HTML. The bill shows up when sites start filtering datacenter IPs or need a real browser, and when you are hitting hundreds of hosts on a schedule. That is proxies, retries, and ops time, not the Python itself.
@amiralinu@shiv_kampani@clay@autumn_ai_inc@VishnuSampathk1 Mid-search cutoffs are rough. Setting a low-balance alert on whatever scraper you use catches this before a search dies midway. Spider Scrapers' Auto mode tries the cheapest method first, and failed or empty results cost 0 credits.
@omliebscher@levelsio@javilopen@ScrapingBee Smart move. Google SERP is usually where self-hosted setups get blocked, so keep a fallback for those. Spider Scrapers' Auto mode tries the cheapest method first and only steps up if needed, and blocked results cost 0 credits.
@AmeerHaio@apify Sorry, that's rough. Try another browser or turn off autofill, since saved addresses can clash with the form. If it still fails, Apify support is your fastest route. Spider Scrapers also has a Hobby plan.
@DeltaToolsHQ@ScrapingBee Logging the failure reason on each retry makes that flaky selector easy to find. Spider Scrapers' Auto mode tries the cheapest method first and only steps up when needed, and failed, blocked or empty results cost 0 credits.
Give each site its own crawl budget. One shared queue that hits every domain at the same concurrency is how a light public-data job turns into blocks. Cap parallel requests per host and space them out so one tough site cannot starve the rest of the run.
If you pull public pages on a schedule, save the raw HTML of every page you fetch, not just the fields you parsed. When the site changes its layout you can re-parse last month's pages instead of scraping them again, and you have a record of what the page actually said on that day.
Don't burn your AI usage opening 268,000 web pages one at a time.
We pulled 268k Cars & Bids and Bring a Trailer auctions with https://t.co/NmvTO9mpR7 for about $38 on a Hobby plan. Let your AI do the thinking, not the clicking.
A 200 status code doesn't mean you got the page. Before you save a scrape, check that the body isn't a captcha or consent wall, that it isn't way shorter than usual, and that the field you came for is actually in there. It's a few lines of code and it keeps block pages out of your dataset.
Spider Scrapers trial is 5,000 credits for 30 days, no card needed. After that the Free plan keeps giving you 1,000 credits a month, and failed or blocked requests don't use any of them. https://t.co/Ha4Euz1cUG