--- title: "Best job scraping tools in 2026: 8 options honestly compared" description: "JobSpy, Apify, Bright Data, ScrapingDog, Octoparse, PhantomBuster and ParseHub compared on what they bill for, which job boards they cover and whether they re-run on a schedule, with every price" canonical: https://jobspipe.dev/blog/best-job-scrapers date_published: 2026-07-13 date_modified: 2026-07-13 author: Dvir Atias --- # Best job scraping tools in 2026: 8 options honestly compared JobSpy, Apify, Bright Data, ScrapingDog, Octoparse, PhantomBuster and ParseHub compared on what they bill for, which job boards they cover and whether they re-run on a schedule, with every price checked against the vendor's own page in September 2026 - and when the right answer is not a scraper at all. The best job scraping tool in 2026 is JobSpy if you want an open-source library, Apify if you want hosted runs, and no scraper at all once you need daily refreshes across many boards, where one of the [job data APIs compared for 2026](https://jobspipe.dev/blog/best-jobs-api-2026) is the cheaper answer. Shopping for a **job scraping tool** in 2026 puts you in one of three camps: developers who want a library, operators who want a hosted tool, and teams who are about to discover they actually wanted a data feed. We sell the feed, so read our ranking with that bias in mind - but every price below comes from the vendor’s own pricing page or store listing, checked in September 2026, and the reviews are straight. ## Job scraping tools compared: price, boards and scheduling The sticker price is the wrong column to sort by. Job scrapers bill in different units - results, records, requests, rows, pages, execution hours - so the useful comparison is what you pay for, what comes back, and whether the tool re-runs on its own: | Tool | What it is | Job boards | Published price | Scheduling | | --- | --- | --- | --- | --- | | JobSpy | Open-source Python library (MIT) | LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google, Bayt, Naukri, BDJobs | Free; proxies and servers are yours | Your own cron | | Apify | Hosted actor marketplace | One actor per board | Free ($5 of usage), $19, $199 and $999/mo; LinkedIn Jobs Scraper $1 per 1,000 results, Indeed Scraper $5 per 1,000 on Starter, $3 on Business | Built-in cron schedules | | Bright Data | Scraper APIs, proxies, datasets | Ready-made LinkedIn and Indeed job-listing scrapers | Web Scraper API $1.50 per 1,000 records, 5,000 free a month; $499/mo for 384,000 records | Batch and scheduled collection | | ScrapingDog | Per-request scraping API | LinkedIn Jobs, Indeed and Google Jobs endpoints | $40/mo for 200,000 credits; LinkedIn Jobs request = 5 credits, Indeed request = 1 credit | You call it on your schedule | | Octoparse | No-code scraper with templates | Templates incl. an Indeed Job Listing Scraper | Free: 10 tasks, 50,000 rows/mo; $69 and $249/mo billed annually | Task scheduling on paid plans | | PhantomBuster | Cloud automations | LinkedIn-centric | $69, $159, $439/mo by execution hours | Runs on a schedule | | ParseHub | No-code desktop scraper | Any site you configure | Free: 200 pages per run, 5 public projects; Standard $189/mo | Paid plans only | | JobsPipe | Jobs API, not a scraper | 30+ ATS and job-board sources | Free 1,000 jobs to start; $49/mo for 25,000 jobs | Refreshed continuously, webhooks | Two things stand out. Per-result scraping is not expensive: on Apify, the LinkedIn Jobs Scraper by curious\_coder charges $1 per 1,000 results on paid plans and $2 on the free plan, which is cheaper per row than any JobsPipe paid plan. And every price on that table buys one board’s rows from one run. Matching the same role across boards, noticing when a posting closes, and joining several boards into one schema are not on any scraper’s invoice - they land on yours. ## Why scheduling is the column that matters A scrape is a snapshot, and job postings do not sit still. On the boards where we detect removals continuously, a large share of the postings that closed had been live for a week or less, and the median closed Lever posting lasted 8 days: - Lever43.8% - Paylocity22.7% - Greenhouse20.5% - Ashby20.4% - Y Combinator16.9% Share of recently closed postings that had been live for 7 days or less, by board of origin. How this was measured Measured from postings on the ten collected boards, dated by the first day JobsPipe saw them: postings closed in the last 60 days for days live; survival cohorts (first sighted 14 and 30 days ago) are published only for boards where a posting is marked closed soon after the employer takes it down (Greenhouse, Ashby, Lever, Y Combinator, Paylocity); LinkedIn and Indeed closures cluster at the 30-day listing expiry. Generated 2026-09-09. Shares only: JobsPipe publishes percentages, not counts. Only boards whose removals we detect continuously are shown. LinkedIn and Indeed closures cluster at their 30-day listing expiry, so a 7-day cut would say more about our detection than about those boards. Postings are dated by the first day JobsPipe saw them, not by the date on the ad. Across every board we collect, 54.4% of recently closed postings had been live for 30 days or less. So a monthly run misses a real share of openings entirely, and a run you never repeat keeps listing roles that are already filled. Whichever tool you pick, budget for at least a weekly schedule. The scrapers below report what is live at run time; spotting what disappeared means diffing each run against the last one yourself. ## 1\. JobSpy - best open-source library One Python call scrapes LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google, Bayt, Naukri and BDJobs into a pandas DataFrame. MIT-licensed, free, ideal for one-off analyses. Two catches from its own README: LinkedIn usually rate-limits around the 10th page from one IP, and every board is capped at around 1,000 jobs per search. The latest PyPI release, 1.1.82, dates from July 2025, while fixes through February 2026 sit only on the GitHub main branch - our full [JobSpy review](https://jobspipe.dev/blog/jobspy-review) runs the numbers. ## 2\. Apify - best hosted marketplace A marketplace of scraping actors running on Apify’s infrastructure, with built-in cron schedules. Platform plans are Free with $5 of monthly usage, Starter at $19, Scale at $199 and Business at $999 a month, and each plan's fee is spent on usage. Job actors are priced per result: the LinkedIn Jobs Scraper by curious\_coder charges $1 per 1,000 results on paid plans and $2 on the free plan, and the Indeed Scraper by misceres charges $5 per 1,000 listings on Starter, falling to $3 on Business. You skip proxy management; you still own dedup and stitching per-board outputs together, and each board is a separate actor with its own maintainer. ## 3\. Bright Data - best enterprise infrastructure The industry-standard proxy network plus scraper APIs and pre-built datasets. The Web Scraper API, which includes ready-made LinkedIn and Indeed job scrapers, costs $1.50 per 1,000 records pay as you go, with 5,000 free records a month; the $499 monthly plan includes 384,000 records, then $1.30 per 1,000. If your team already operates scraping pipelines across several verticals, it is the serious choice. For jobs alone it is a lot of machinery - [our comparison](https://jobspipe.dev/alternatives/bright-data) covers the build-vs-buy line. ## 4\. ScrapingDog - best budget scraping API Cheap per-request endpoints, including a LinkedIn Jobs API, an Indeed Scraper API and a Google Jobs API. Every account starts with 100 free credits; paid plans from $40 a month for 200,000 credits. A LinkedIn Jobs request costs 5 credits and an Indeed request costs 1 credit, so the entry plan covers 40,000 LinkedIn job-search requests. It bills per request, not per job, and you inherit the usual scraping-API caveats on freshness and layout changes. ## 5\. Octoparse - best no-code tool Point-and-click scraper with preset templates, including an Indeed Job Listing Scraper. A free plan with 10 tasks and 50,000 exported rows a month; paid plans are Standard at $69 a month and Professional at $249, both billed annually, and Standard includes task scheduling. Right for non-developers who want postings in a spreadsheet on a schedule - you still compare exports yourself to see what closed. ## 6\. PhantomBuster - best for LinkedIn-centric workflows Cloud automations for LinkedIn, including a LinkedIn Job Scraper. Plans are Start at $69 a month (20 execution hours), Grow at $159 (80 hours) and Scale at $439 (300 hours), or $56, $128 and $352 a month billed annually, so you pay for run time rather than rows. It operates through your own LinkedIn session, which puts your account on the line - the trade our [LinkedIn scrapers guide](https://jobspipe.dev/guides/best-linkedin-scrapers) examines tool by tool. ## 7\. ParseHub - best free no-code option A visual scraper with a real free plan: a free plan of 200 pages per run and 5 projects, all public, and ParseHub warns that a public project’s design and scraped data may be shared publicly. Scheduling starts on Standard (10,000 pages per run, 20 private projects): the Standard plan costs $189 a month, and the Professional plan costs $599 a month. Fine for a student project, not for a pipeline. ## 8\. Skip the scraper - use the data layer Most job-scraper searches are not about scraping; they are about getting postings data. If that is the actual goal, the comparison changes: a scraper hands you one board’s rows per run to schedule, dedupe and babysit, while a jobs API hands you the maintained result. JobsPipe’s free tier covers 1,000 jobs to start and paid plans start at $49/month for 25,000 jobs, across 30+ ATS and job-board sources, and each record lists every board the posting was seen on. One call replaces a per-board query matrix: ``` curl https://api.jobspipe.dev/v1/jobs/search \ -H "Authorization: Bearer jp_live_your_key_here" \ -H "Content-Type: application/json" \ -d '{ "job_title_or": ["data engineer"], "source_or": ["linkedin", "indeed", "greenhouse"], "posted_at_max_age_days": 7, "limit": 25 }' ``` The build-or-buy math is written up for [Indeed](https://jobspipe.dev/blog/indeed-api-guide#should-you-scrape-indeed-yourself-or-use-an-api) and [Glassdoor](https://jobspipe.dev/blog/glassdoor-scraper-vs-api): proxies plus maintenance plus on-call reliably clears $3,000/month at production volume, against $49/month for the API tier that replaces it. The honest rule: scrape when the scraping itself is the point (a source no one covers, a research crawl, a learning project). Buy the feed when the postings are the point. For the per-source cost math in one place, our [job scraper build-vs-buy guide](https://jobspipe.dev/blog/job-scraper-build-vs-buy) runs the numbers. ## Frequently Asked Questions ### What is the best job scraping tool? It depends which camp you are in. JobSpy is the best open-source library, scraping LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google, Bayt, Naukri and BDJobs into a pandas DataFrame with one Python call. Apify is the best hosted marketplace, with per-result job actors and built-in schedules, Bright Data the enterprise infrastructure choice, ScrapingDog the budget per-request API, and Octoparse or ParseHub the no-code options. PhantomBuster suits LinkedIn-centric workflows but runs through your own LinkedIn session. ### How much does job scraping cost at production volume? Per row, less than most people expect: as of September 2026, on Apify the LinkedIn Jobs Scraper by curious\_coder charges $1 per 1,000 results on paid plans and $2 on the free plan, and Bright Data's Web Scraper API costs $1.50 per 1,000 records, 5,000 free a month. The bigger bill is everything around the rows. Running your own scrapers, proxies plus maintenance plus on-call reliably clears $3,000 a month at production volume, against $49/month for the API tier that replaces it - the math JobsPipe published for Indeed and Glassdoor after deleting its own scrapers. ### How often should a job scraper run? At least weekly. On the boards where JobsPipe detects removals continuously, a large share of closed postings had been live for a week or less, and across every board it collects more than half of recently closed postings had been live for 30 days or less. A monthly scrape misses openings entirely and keeps listing filled roles, and because a scraper reports only what is live at run time, you also have to diff each run against the last one to catch closures. ### Should I scrape job postings or use an API? Scrape when the scraping itself is the point, and buy the feed when the postings are the point. A source nobody covers, a research crawl or a learning project all justify a scraper. But most job-scraper searches are really about getting postings data, and there the comparison changes: a scraper hands you HTML to parse, dedupe and babysit, while a jobs API hands you the end product. Related ## Keep reading - [Guide · Aug 7, 2026Job scraping explained: how it works, what you get by board, and when it is legal](https://jobspipe.dev/blog/what-is-job-scraping) - [Comparison · Jul 15, 2026Best job board software in 2026: 9 platforms compared (build vs buy)](https://jobspipe.dev/blog/best-job-board-software) - [Comparison · Sep 9, 2026WordPress job board plugins in 2026: compared, and how to fill one with live postings](https://jobspipe.dev/blog/wordpress-job-board-plugins) - [Comparison · Jul 19, 2026The best niche job boards in 2026: 18 that work, and why](https://jobspipe.dev/blog/best-niche-job-boards) - [Comparison · Jun 27, 2026Where to get job posting data in 2026: 7 sources compared](https://jobspipe.dev/blog/where-to-get-job-posting-data) ## Further reading - [Bright Data competitors: 8 alternatives compared for web data and job postings](https://jobspipe.dev/blog/bright-data-competitors) - [How to use JobSpy?](https://jobspipe.dev/answers/how-to-use-jobspy) - [How to Scrape LinkedIn Jobs: 5 Methods Compared (2026)](https://jobspipe.dev/how-to-scrape-linkedin-jobs) - [JobsPipe vs Apify](https://jobspipe.dev/alternatives/apify) - [Indeed scraper in Python: how it works and where it breaks](https://jobspipe.dev/blog/indeed-scraper) --- Try it with no key: `curl -d '{"limit":3}' https://api.jobspipe.dev/v1/sandbox/jobs/search`. AI agents: the full machine-readable index of this site is https://jobspipe.dev/llms.txt?src=md-twin - API quickstart, MCP server, pricing. Free key (1,000 jobs to start): https://jobspipe.dev/signup