State of Apify-Hosted Job-Board Scrapers — Q1 2026
A quarterly board-demand report for the Apify ecosystem, based on 449 in-scope actors across 10 qualifying boards.
LinkedIn Jobs and Indeed dominate Apify’s job-board scraping market to a degree that makes almost every other board look niche. In Q1 2026, the two boards accounted for 84% of measured demand across all qualifying categories. LinkedIn alone carried 64%.
The surprise was not LinkedIn. It was Naukri.
In a category that Western operators often treat as secondary, Naukri ranked #3 overall by demand inside the Apify ecosystem — ahead of Glassdoor, Wellfound, and every European board in scope. Any market map that quietly drops India-specific demand would miss one of the clearest signals in the data.
This report maps board demand inside the Apify Store — not global market share, not scraper quality. A narrower question, more useful answer.
Qualifying boards
A board qualifies for this report if it had ≥5 distinct actors on the Apify Store and ≥100 aggregated 30-day users across those actors during the Q1 2026 (January–March) census window. The rule is deliberately mechanical so the quarterly series is comparable.
Ten boards met both thresholds.
Three patterns define the quarter.
LinkedIn and Indeed sit in a tier of their own. Naukri at #3 holds barely a tenth of LinkedIn’s demand. If you are building or buying one scraper, the market has already told you which.
Outside the two incumbents, it is Indian, Australian, and DACH-region boards — not English-speaking generalists — that clear the threshold. Apify’s buyer base reads more global than a Western-default scope would predict.
Forty-plus additional boards appeared in the discovery set and failed the threshold. The category looks broad from a distance; in practice, demand is heavily concentrated.
What was excluded
Of 1,871 JOBS-tagged actors, 1,422 fell outside scope. The bulk fall into four categories, each getting its own Signal Census report later: lead/contact extractors that merely tag “jobs,” ATS and career-page scrapers (Greenhouse, Workday, Lever), multi-board aggregators that cannot be scored against a single target, and freelance marketplaces (Upwork). The rest are long-tail boards below the 5-actor / 100-user floor — Monster, WTTJ, Xing, Reed, Bayt, InfoJobs, SimplyHired, Totaljobs, and roughly 40 others. All of them sit in discovery.csv with keep/exclude reasons for independent audit.
Per-board observations
Top three actors on each qualifying board, by 30-day users. Positional, not yet scored — scorecards follow in subsequent updates.
LinkedIn Jobs
199 actors · 15,236 30d users
Incumbent monopoly The jobs section of LinkedIn, the professional network owned by Microsoft. Global reach, ~1B members, and the de-facto default board for white-collar and technical roles in most Western markets. One actor carries more demand than every other LinkedIn scraper combined — and more than the entire Indeed category. That is not category leadership; it is incumbent capture.
- curious_coder/linkedin-jobs-scraper — 8,701 users, pay-per-event. Sparse store-page copy (“scrape jobs from linkedin jobs search results along with company details”) and no claimed differentiators — sells on history and trust.
- worldunboxer/rapid-linkedin-scraper — 1,018 users, free. Positions as the no-cost alternative; the only actor in the LinkedIn top tier without a per-event charge. Demand growth here mostly reflects price, not quality signal.
- harvestapi/linkedin-job-search — 969 users, pay-per-event. Differentiates explicitly on “no cookies or account required” — a meaningful operational claim if you have been burned by session-token expiry on competitor actors. Store copy is shorter and more technical than the others.
Indeed
77 actors · 4,840 30d users
Competitive second market Global general-purpose job aggregator owned by Recruit Holdings. One of the largest job sites in the world by traffic, particularly strong in the US and English-language markets. Unlike LinkedIn, demand is distributed — the #3 actor holds 61% of the #1’s share, and the category carries the most pricing-model experimentation in the report.
- misceres/indeed-scraper — 1,759 users, pay-per-event. The Indeed counterpart to curious_coder on LinkedIn: the longest-running, highest-trust actor in the category. Handles sponsored vs organic listings explicitly. Dominant despite two newer competitors within 40% of its demand.
- valig/indeed-jobs-scraper — 1,332 users, pay-per-event. Positions on “advanced filters, structured output, global support” — generic in copy but clearly pulling real demand, suggesting the quality lives in the output rather than the pitch.
- borderline/indeed-scraper — 1,077 users, pay-per-event. Brands itself “PPR” (pay-per-result) and sells on speed and anti-blocking. The explicit pricing framing is the differentiator: buyers who have been burned by pay-per-event runs that return nothing.
Naukri
29 actors · 1,524 30d users
Regional outlier, real demand India’s largest general-purpose job board, operated by Info Edge. Around 75M registered job-seekers, deep employer coverage across IT services, BPO, finance, and engineering. The Indian analogue of Indeed.
- muhammetakkurtt/naukri-job-scraper — 962 users, pay-per-event. Carries 63% of all Naukri demand on its own. Store copy is unflashy and enumerates fields (title, company, experience, salary) — a seller of reliability.
- automation-lab/naukri-scraper — 144 users, pay-per-event. Distant second, but the only actor explicitly naming “India’s largest job board” — context the buyers on this board clearly already have.
- stealth_mode/naukri-jobs-search-scraper — 99 users, pay-per-event. Leans on Naukri’s scale claim (75M+ registered users) as category framing.
Glassdoor
49 actors · 598 30d users
Commoditised bundle Originally an employer-review site, now a full job board. Owned by Recruit Holdings (same parent as Indeed) and integrated with Indeed’s listings backend. Distinctive data: employer ratings, CEO approval, salary reports, interview reviews. Top three actors sit inside 70% of each other — flat and commoditised.
- valig/glassdoor-jobs-scraper — 131 users, pay-per-event. Jobs-only, with filters for role, location, Easy Apply, and rating. Short copy, clear scope.
- memo23/glassdoor-scraper-ppr — 97 users, pay-per-event. Bundle scraper: reviews + jobs + interviews + salary + overview. The only actor in the Glassdoor top tier positioning beyond jobs-only — the value is breadth, not depth.
- cheap_scraper/glassdoor-jobs-scraper-remove-duplicate-jobs — 92 users, pay-per-event. Sells on two things, both in the name: deduplication and price. Fewer claims, cheaper price point.
Wellfound
12 actors · 391 30d users
Narrow niche, loyal buyers Formerly AngelList Talent, rebranded to Wellfound in 2022. Focused on startup jobs — listings carry funding stage, salary and equity ranges, and direct access to founders. Only 12 qualifying actors, which reflects the buyer pool: startup sourcers, recruiters, VC analysts. Small market, high intent.
- orgupdate/wellfound-jobs-scraper — 167 users, pay-per-event. Also named “Angel list Jobs Scraper” in the copy — still trading on the pre-rebrand name. Solid lead, copy is generic.
- clearpath/wellfound-api-ppe — 92 users, pay-per-event. Extracts startup-specific fields: salary, equity, funding, team members, investors. The only Wellfound actor explicitly naming the startup-data dimension — which is what Wellfound actually is.
- sovereigntaylor/wellfound-scraper — 45 users, free. The cheapest option; the only free actor in the Wellfound top tier. Demand likely driven by price, not feature depth.
Google Jobs
16 actors · 324 30d users
Meta-index, dominant leader Not a standalone job board but the jobs-search experience embedded in Google Search results, aggregating listings from thousands of source boards and company career pages via structured-data markup. Scraping it is effectively scraping a normalised meta-index of the global job market — which is why one actor has built a 4x demand lead over the rest of the category.
- johnvc/Google-Jobs-Scraper — 160 users, pay-per-event. Clear leader by a 4x margin. Sells on configurability (“enterprise-grade flexibility, comprehensive customization”). Given Google Jobs itself is an aggregator, flexibility is a real axis here.
- epctex/google-jobs-scraper — 36 users, flat monthly price. The only actor in this top three not on pay-per-event — epctex is a multi-site operator known for subscription pricing. Different pricing model, different buyer.
- igview-owner/google-jobs-scraper — 29 users, pay-per-event. Minimal Store copy, utility positioning.
Seek
13 actors · 314 30d users
Regional leader, concentrated demand The dominant job board across Australia, New Zealand, and parts of South-East Asia (via JobStreet and JobsDB, both part of the SEEK group). In AU/NZ, Seek occupies roughly the combined position LinkedIn and Indeed hold in the US. One actor commands 69% of category demand.
- websift/seek-job-scraper — 216 users, pay-per-event. Commands 69% of Seek demand. Covers “all Seek sites” — relevant because Seek operates across six AU/NZ/SE-Asia markets.
- blackfalcondata/seek-scraper — 20 users, pay-per-event. Publisher-owned — see conflict disclosure at the bottom of this page. Positions on salary data, employer profiles, and incremental mode; explicitly names the six-country coverage.
- parseforge/seek-scraper — 19 users, pay-per-event. Australia-only, includes screening-question extraction — a field the others do not highlight.
StepStone
21 actors · 247 30d users
Flat market, narrow buyer pool One of the largest job boards in the DACH region (Germany, Austria, Switzerland) with further presence in Belgium and the Netherlands. Owned by Axel Springer. Competes head-on with Indeed.de and Xing. Top three actors sit inside 55% of each other — a thin market where no one has broken out.
- easyapi/stepstone-jobs-scraper — 65 users, pay-per-event. StepStone.de-focused. Thin lead — the #2 holds 60% of its demand.
- fatihtahta/stepstone-scraper-fast-reliable-4-1k — 39 users, pay-per-event. The only top-three actor covering multiple StepStone regions (.de, .at, .be, .nl). Price baked into the slug (“$2.5 / 1K”).
- jupri/stepstone-scraper — 35 users, pay-per-event. Minimal copy, utility product.
Dice
18 actors · 215 30d users
Specialist niche, entrenched leader US-focused job board specialising in technology roles — software engineering, data, security, cloud, DevOps. Niche but entrenched: recruiters hiring for senior US tech talent treat it as a required channel alongside LinkedIn. One actor holds 59% of scraper demand in the category.
- shahidirfan/Dice-Job-Scraper — 126 users, pay-per-event. Carries 59% of Dice demand. Claims to run without proxies — plausible given Dice’s lighter bot protection compared to LinkedIn or Indeed.
- piotrv1001/dice-com-jobs-scraper — 46 users, pay-per-event. US-focused (state-level location filter), extracts salary and remote-work status — fields tech buyers care about.
- worldunboxer/dice-jobs-scraper — 11 users, pay-per-event. Generic copy, low demand.
ZipRecruiter
15 actors · 132 30d users
Borderline category, at risk US-headquartered job board with a distributed-listing model: one employer posting is syndicated to 100+ partner boards. Strong presence in mid-market and hourly/blue-collar hiring. Publicly traded (NYSE: ZIP). Sits only 32 users above the 100-user inclusion floor. Watch Q2 — this board could drop out of scope if any actor loses demand.
- orgupdate/ziprecruiter-jobs-scraper — 50 users, pay-per-event. Modest leader, same vendor as the Wellfound #1. Global scope framing.
- shahidirfan/Ziprecuriter-Job-Scraper — 29 users, pay-per-event. Explicitly recommends US residential proxies — ZipRecruiter’s bot protection is stricter than Dice’s and this actor surfaces it in the copy.
- memo23/apify-ziprecruiter-scraper — 15 users, flat monthly price. Subscription model, same vendor as the Glassdoor combo actor.
Publisher concentration inside the category
The board-level view above shows where demand sits. Rotating the same data by publisher shows who captures it. Across the 449 in-scope actors, demand aggregates to 212 distinct publishers — and the head of that distribution is steeper than the board-level head.
| # | Publisher | 30d users | Share | Boards | Top-3 |
|---|---|---|---|---|---|
| 1 | curious_coder | 37.5% | 2 | 1 | |
| 2 | valig | 7.7% | 3 | 2 | |
| 3 | misceres | 7.4% | 1 | 1 | |
| 4 | fantastic-jobs | 4.9% | 1 | 0 | |
| 5 | borderline | 4.5% | 1 | 1 | |
| 6 | worldunboxer | 4.3% | 2 | 2 | |
| 7 | harvestapi | 4.1% | 1 | 1 | |
| 8 | muhammetakkurtt | 4.0% | 1 | 1 | |
| 9 | bebity | 3.5% | 2 | 0 | |
| 10 | cheap_scraper | 2.0% | 3 | 1 | |
| 11 | orgupdate | 2.0% | 7 | 2 | |
| 12 | memo23 | 1.3% | 6 | 2 | |
| 13 | shahidirfan | 1.2% | 8 | 2 | |
| 14 | apimaestro | 1.0% | 1 | 0 | |
| 15 | websift | 1.0% | 1 | 1 |
Top-5 publishers = 61.9% of measured Q1 demand. Top-10 = 80.0%. The remaining 202 publishers split the last fifth.
Two distinct operator profiles emerge from the table. The top of the list is dominated by single-board specialists — curious_coder takes 37.5% from just three actors concentrated on LinkedIn, and misceres, fantastic-jobs, harvestapi and muhammetakkurtt each rank top-8 from a single board. The bottom half of the table is broad-but-shallow operators: shahidirfan covers 8 of the 10 qualifying boards, orgupdate covers 7, memo23 covers 6 — yet none of them clear 2.0% share. Coverage breadth and demand capture are inversely related at this scale.
The asymmetry between actor count and demand share is the second pattern. orgupdate ships 12 actors for 2.0% share; silentflow (rank 22, not shown) ships 18 actors for 0.5%. Meanwhile harvestapi captures 4.1% from a single actor. Users in this category reward depth on one board over presence across many.
COI disclosure: the publisher behind Signal Census, blackfalcondata, sits at rank 23 (105 users, 0.4% share) across 8 boards and 14 actors — outside the table above. We rank where broad-coverage operators sit, with the same inverse-relationship pattern: wide footprint, modest aggregate demand.
Corrections
If a board is miscategorised, an exclusion reason is wrong, or a candidate is missing, the discovery CSV is the authoritative record and the place to check first. Send corrections via /contact; accepted corrections appear in this page’s changelog below.