Newegg is one of the largest electronics and computer-hardware retailers online, and it defends itself. Every run we hold was refused before it reached a product - so this page tells you what the export looks like, what stands in the way, and exactly what we did and did not measure. That order is deliberate.
Three of our five runs submitted a genuine Newegg product URL. All three came back blocked (needs residential proxy). The remaining two used a placeholder address and returned http 404. So we have no Newegg product data whatsoever, and this page leads with that rather than burying it under a feature list.
Fetch that same product URL yourself with a browser user-agent and you get HTTP 302 and 110 bytes - a redirect to a path literally named /areyouahuman. Not a product page, not an error, an interstitial. That is reproducible with one command and it is the clearest single explanation of why the runs failed.
Newegg's own entry in the service catalogue carries the note “Need Residential Paid proxy”. Our runs, the vendor's note and a live fetch are three independent sources and they agree. When they disagree we would tell you; here they do not.
A residential proxy is the documented requirement, and it is yours to supply rather than something this service quietly includes. If you have one, the schema below is what you will be filling. If you do not, expect the status column to read blocked and plan on a different source for this particular retailer.
The export carries price and parsed_price, sku and sku_code, image and images, url and product_url. One of each pair is for reading and one for computing. Worth knowing before you write the importer, and knowable from the header even though our runs returned no rows.
The last column is status, written by our exporter rather than by the site. A refused request comes back as a row carrying its reason instead of vanishing, which is what let us tell you any of the above. Reconcile on that column and a wall is visible on day one rather than three weeks later.
Read from the header row of a real export of this service, in sheet order. None of our runs returned data beneath that header - see the note below the table - so each entry says what the column is for, and stops there.
sku below - check both before choosing a join key, because across this schema family they are filled independently and have been observed both identical and different.url, which reports the address the row was actually produced from; the two diverge whenever a submitted link redirects - and on this site a redirect is exactly what an ordinary request receives.parsed_price when you need to compute.rating. Where both are present they belong together; a score with no count behind it is not enough to rank on.sku_code.query to detect redirects - worth doing here specifically, given what an unauthenticated request gets redirected to.blocked (needs residential proxy) on the three real product requests and http 404 on the two placeholder ones. This is the column that carries the actual news on this page.Seventeen columns per row · CSV, JSON or Excel
We hold five runs of this service and not one of them returned a Newegg product. Three submitted a genuine product URL and came back blocked (needs residential proxy); two submitted a placeholder address and came back http 404. The seventeen column names above are therefore real - they are the header row those exports carry, and a header row is a real header row with nothing beneath it - while the values are entirely unknown to us, so none are described anywhere on this page. Two things corroborate the blocking rather than leaving it as our word. The vendor's own service catalogue attaches the note “Need Residential Paid proxy” to Newegg. And fetching the same product URL directly, with a browser user-agent, returns HTTP 302 and 110 bytes redirecting to a path named /areyouahuman - an anti-bot interstitial rather than a page. One more thing we deliberately did not do: CDW shares this exact seventeen-column schema and its export does carry real prices. Using CDW's values to illustrate Newegg's columns would be a guess wearing the clothes of a measurement, so this page does not.
Hardware pricing moves on supply rather than on seasons, and a single reading tells you almost nothing. Keep parsed_price, currency and the run date across a schedule and the series is the deliverable. Subject, on this retailer, to getting through at all.
Newegg sells to the public; our CDW scraper reads the same hardware priced for business buyers on the identical schema. The pair is the interesting thing - one importer, two audiences, the same part numbers.
Run a set of product URLs on a schedule and keep name, brand and both identifiers with the run date. Products get renamed, re-described and withdrawn more often than anyone announces.
Two identifier columns is the pattern this schema exists for. Where a listing publishes a manufacturer part number as well as its own, that is the value that survives a move to a different retailer - so check both before you pick a join key.
One time, on signup. No card, and nothing to cancel afterwards.
Billed on rows actually returned. A row that comes back with a status other than a successful one is not a row of product data, and is not charged as one - which on this particular retailer is worth knowing.
Credits do not expire on a monthly cycle. Run a sweep in March and nothing until September if that is the shape of the work.
LIVESCRAPER10 at checkout.The same hardware market, the same seventeen columns - and our runs came back with real prices. A category URL there fans out into a row per product.
The same schema pointed at a large consumer retailer, if what you need is a general merchandise catalogue rather than components.
Another catalogue on this schema whose two identifier columns hold genuinely different numbers - useful for seeing how the pair behaves.
A dated image of what a URL actually served. On a site that answers with an interstitial, that picture is the evidence.
Product facts on a publicly reachable listing are ordinary competitive information. The question that actually matters on this site is not whether you may read them but whether you can, and we would rather be straight about that.
A price, a product name, a brand and a stock state are facts about goods offered for sale. Reading them from a page served to any visitor is the same activity a buyer performs by hand, at a useful speed. Nothing in the seventeen columns describes a person: no name, no email address, no phone number, no account - so the data-protection questions that shape our people-facing services do not arise here.
The honest issue is access rather than permission. Newegg operates an anti-bot layer that answered every request we made, and answered a fresh direct fetch with a redirect to an interstitial rather than a page. We do not defeat that. We do not solve challenges, we do not impersonate a signed-in shopper, and we do not present this service as a way around a protection the site has deliberately put up - what we do is report the refusal in the status column so you can see it. The documented route is a residential proxy, which is yours to bring. If you are weighing whether to, the relevant question is your own agreement with Newegg and your own counsel's view of it, not ours.
Our own terms are the same as on every other service here. Publicly available pages only, nothing behind a login, no third-party trackers on the data layer, and exports auto-delete after 30 days. Your first 500 rows are free and need no credit card.
blocked (needs residential proxy); two submitted a placeholder address and returned http 404. There are no Newegg values on this page because we have none, and we would rather tell you that on the first screen than after you sign up./areyouahuman - an interstitial rather than a product page. The published service note for Newegg says the same in different words: “Need Residential Paid proxy”. Our runs are the third source saying it.blocked as its status, which is how you find out on day one instead of discovering an empty column three weeks later.query, sku_code, product_url, name, description, parsed_price, price, currency, availability, rating, reviews, images, brand, sku, url, image and status. One row per product URL you submit. Those names come from the header row of a real export - a header is real whether or not anything sits under it.Seventeen columns documented from a real export header, an obstacle documented from three independent sources, and no invented rows anywhere. Your first 500 rows are free, then $0.002 each.
Newegg is one of the largest online retailers of computer hardware, components and consumer electronics, which makes its catalogue an obvious thing to want in a spreadsheet: component prices move on supply rather than on seasons, and a table of them over time is worth more than any single reading. The obstacle is not that the facts are private. It is that the site defends itself, and this page is going to lead with that rather than describe a product it did not deliver.
Every run we hold was refused. Three of the five submitted a genuine Newegg product URL and all three returned blocked (needs residential proxy); the remaining two used a placeholder address and returned http 404. That is not the same as untested - the address was tried three times in one session and turned away each time. Two further sources say the same thing independently. The published service note attached to Newegg reads “Need Residential Paid proxy”. And fetching that same product URL directly, with an ordinary browser user-agent, returns HTTP 302 and 110 bytes redirecting to a path literally named /areyouahuman - an anti-bot interstitial rather than a product page, reproducible with one command. Our runs, the vendor's note and a live fetch agree; where sources disagree we say so, and here they do not.
What the runs do establish is the shape of the export. Seventeen columns per product URL - query, sku_code, product_url, name, description, parsed_price, price, currency, availability, rating, reviews, images, brand, sku, url, image and status - read from the header row those exports carry, which is a real header row whether or not anything sits beneath it. Four of those columns are pairs: price as displayed against price as a number, two identifier fields, primary image against all images, requested URL against canonical URL. Knowing which half to use before you write the importer is the difference between a clean load and a rewrite, and it is knowable from the header alone.
One thing we deliberately did not do. Our CDW scraper uses this exact schema and its runs did come back with real prices, so it would have been easy to illustrate these columns with those values and let the family resemblance do the rest. Those are CDW's numbers from CDW's pages, and presenting them here would be a guess dressed as a measurement. You will therefore find no sample prices, part numbers or ratings anywhere on this page. On access: we do not solve anti-bot challenges, we do not impersonate a signed-in shopper, and we do not sell this as a way around a protection the retailer has deliberately raised - a refused request comes back as a row carrying its reason, which is how you learn on day one. A residential proxy is the documented route and it is yours to supply. If you want hardware pricing our runs actually produced, the CDW Products Scraper reads the same market on the same schema, and there a single category URL returns a row for every product on it. Publicly available pages only, no third-party trackers on the data layer, and exports auto-delete after 30 days. Your first 500 rows are free and need no credit card.