Type a company name - or paste a Glassdoor URL - and the search results come back as a table: the employer, its rating, how many reviews, jobs and salary reports it has, its industry, size and headquarters, a link to the profile and a logo.
One required field and two controls, one of which decides which country's Glassdoor you are searching.
glassdoor.com.The limit is per query, so a list of company names multiplies. Taking everything on a broad search can run long.
What a Glassdoor search result gives you that a company directory does not.
One row carries the employer rating alongside how many reviews, open jobs and salary reports sit behind it. That combination is what tells you whether a 4.4 rests on seventy thousand reviews or on thirty - a distinction no single score can carry.
The domain selector covers the national sites from Argentina to Singapore, including the separate Dutch and French faces of Belgium, Canada and Switzerland. Searching the market you actually operate in is a dropdown rather than a workaround.
position records where each employer sat in that query's results, as a number. Searching a sector rather than a name and keeping the order is how you see which employers Glassdoor itself surfaces first.
One is a hard requirement, one will break your arithmetic, and one is about which columns you can safely depend on.
This service needs your own paid residential proxy. The form says so in its own hint: results come through the proxy you configure as PROXY_URL, free and datacenter addresses do not get through, and your real IP is never used. That is a setup step rather than a caveat - without it there is nothing to read, and it is worth knowing before you plan a run rather than after.
The counts arrive abbreviated, as text. reviews, jobs and salaries come back as strings, and large ones are shortened the way the page displays them - 70.5K sits in the same column as a plain 362 or 0. Nothing will sum or sort correctly until you expand the K and M suffixes yourself. rating is a string too, though a straightforward one. The only column that arrives as a real number is position.
Three columns arrive that the service does not declare. Its published column list names ten; every row we have read carries thirteen. The extra three are jobs, salaries and position - genuinely useful, present on every row, and the reason two of the features above exist. It is worth being clear-eyed about that though: an undeclared column is on softer ground than a declared one, because nothing promises it will still be there next month. Build on the declared ten where you can, and treat the other three as a bonus you check for.
Two smaller things. website is one of the declared ten but was empty on every row we have read, so it has no entry in the table below - that is why twelve columns are described rather than thirteen. And nine of the twelve runs we hold came back with no rows at all, which is the other reason to take a small first run before planning around this.
Read from real rows rather than copied from a specification. Where a column is not part of the service's declared list, it says so.
reviews - a score means something different behind seventy thousand reviews than behind thirty.industry, often absent.query then position to rebuild a results page.The formats above were measured. Three of the twelve run exports we hold returned rows, and every statement here comes from reading all of them: rating, reviews, jobs and salaries all arriving as text with the large counts abbreviated, position the only genuine number, and company_url carrying an employer id on every row. Two gaps worth stating. The service declares ten columns and the export carries thirteen - jobs, salaries and position are not in the published list, so they are useful but less guaranteed than the rest. And website is in the declared ten yet was empty on every row we have read, so rather than describe a column we have never seen carry a value we name it here and leave it out of the table, which is why twelve are described. One thing to plan around. Nine of our twelve runs returned nothing at all, and this service requires your own paid residential proxy to be configured before it can return anything - take a small first run and confirm your setup before building on it.
All of them start from something you would type into Glassdoor's own search.
Search the companies hiring the same people you are and keep rating next to reviews. A rival with a strong score and few reviews is a different competitor from one with a slightly lower score and thousands - and jobs tells you how hard they are currently hiring.
Search a term rather than a name, keep position, industry and headquarters, and you get the employers Glassdoor surfaces first for that space. It is a different cut of a market than any product directory gives you.
The domain selector covers twenty-three regional sites, so the same company or sector can be searched as the local market sees it. Ratings and review volumes rarely look the same across two national sites, and that difference is often the point.
No subscription, no minimum, no per-seat licence. Your first 500 rows are on us - after that it is pay-as-you-go.
For every new account, one time. No credit card. All scrapers unlocked - and enough to confirm your proxy is configured correctly and see the abbreviated counts for yourself before you build anything on them.
Roughly $2 per 1,000 companies, the same flat rate as every other scraper on the platform. The limit is per query, so a list of company names multiplies it - and leaving it empty takes everything.
Volume pricing, SLAs, dedicated workers and tailored onboarding for teams tracking employer data across markets rather than checking a handful of names. Tell us your numbers and we will quote.
LIVESCRAPER10 at checkout.This returns the search result. These return what sits behind it, each with its own schema.
The natural next step: this page gives you the employers and their review counts, that one gives you the reviews themselves, with pros, cons and employment status. Its schema is its own, so read both dictionaries.
The same employers as they present themselves, rather than as staff rate them. It carries headcount, specialties and founding year that this schema does not.
Employer reviews from a different audience, with its own rating breakdowns. Useful as a second reading when a Glassdoor score and a hiring experience do not match.
Short answer: these are public search results about companies - and unusually for this platform, no individual is named anywhere in the export.
Everything in these columns is shown to any visitor on a public Glassdoor search results page. No login is used, no paywall is crossed and no account is touched. Collecting publicly visible information about employers for research and benchmarking is long-settled practice.
This export is unusually clean on the privacy question. Every column describes a company rather than a person - a name, a rating, some counts, an industry, a location, a link and a logo. There is no reviewer, no author, no contact and no email anywhere in the thirteen keys, which is not something we can say about most pages on this site. The ratings are aggregates of what employees said, not the things they said, so nothing here identifies who said what.
The requirement to route through your own paid residential proxy is a technical condition of using the service rather than a legal one, but it is worth reading as a signal: Glassdoor puts real effort into controlling automated access, and their terms govern it. Read those before you scale, and keep collection proportionate to the research you are actually doing. We run no third-party trackers on the data layer, and your exports self-delete after 30 days.
The questions we hear most. Something else? Talk to us - humans write the answers, not bots.
The two return different things, and running both is the quickest way to see what this export is good for. Your first 500 rows are free.
Glassdoor Company Search turns an employer search into a spreadsheet. You submit company names or Glassdoor URLs - one per line, mixed freely, or uploaded as a CSV, XLSX, TXT or Parquet file - choose which regional Glassdoor to search and set a limit, and each employer comes back as a row: the company, its rating, how many reviews, open jobs and salary reports it has, the industry Glassdoor files it under, its size band and headquarters, a link to its profile, a logo, and where it sat in the results. The service's own description puts it simply: it returns company search results from Glassdoor.
Two things shape how you should use the export, and both are worth knowing before a first run. The first is that this service requires your own paid residential proxy, configured as PROXY_URL; the form says so itself, adding that free and datacenter addresses do not get through and that your real IP is never used. That is a setup step, not a footnote - without it there is nothing to read. The second is that the counts arrive as abbreviated text: reviews, jobs and salaries are strings, and a large figure appears as something like 70.5K in the same column as a plain 362. Expand the K and M suffixes before you sum or sort. rating is a string too; position is the only column that arrives as a real number.
The column list has an unusual shape. The service declares ten columns, and every row we have read carries thirteen - jobs, salaries and position are not in the published list. That is the opposite of the gap most pages document, where a declared column never populates, and it is worth treating accordingly: those three are consistently present and genuinely useful, but an undeclared column carries no promise about next month, so build durable pipelines on the declared ten and check for the others. One of those declared ten, website, was empty on every row we have read, so this page documents twelve columns and says why rather than describing a field it has never seen carry a value.
The regional coverage is the other reason to reach for this. The domain selector offers twenty-three national Glassdoor sites, from Argentina and Australia to Singapore and the United Kingdom, including the separate Dutch and French faces of Belgium, Canada and Switzerland; it starts on glassdoor.com. Ratings and review volumes rarely look the same across two national sites, and running the same company or sector on both is often the point of the exercise. On the legal side this export is unusually clean: every column describes a company rather than a person, and no reviewer, author, contact or email appears anywhere in it - the ratings are aggregates of what employees said rather than the things they said. Glassdoor's terms still govern automated access; read them before you scale. Start free: your first 500 rows cost nothing and need no credit card, then $0.002 per row, flat. See pricing for current rates.