Quick Comparison
| Tool | Starting Price | Free Tier | Category | Best For |
|---|---|---|---|---|
 TheirStack | Free / $49/mo (one-time purchases available) | ✅ Yes | Job Data + Technographics | Intent-driven prospecting and enrichment |
 Coresignal | $49/mo | ❌ No | Job Data + Technographics | Employee and company data at scale |
 Sumble | $99/user/mo | ✅ Yes | Job Data + Technographics | Person-level sales intelligence and team mapping |
 Techmap | Free (API) / $400 per month per country (feeds) | ✅ Yes | Job Data + Technographics | Single-country bulk job feeds bought on AWS Data Exchange |
 BuyerCaddy | $1,000/mo | ✅ Yes | Job Data + Technographics | Product-level install intelligence and buyer research at self-serve prices |
 Fantastic Jobs | $95/mo | ❌ No | Job Data + Technographics | Hourly career-page job feeds for job boards |
 Hirebase | Free / $49/mo dashboard / $99/mo API | ✅ Yes | Job Data + Technographics | Fresh career-page job data with a simple API |
Why Look for PredictLeads Alternatives?
Job data is refreshed every 36 hours
for sales teams that want to be first to reach out when a relevant role is posted, a day-and-a-half cadence is slower than providers that update continuously.
Credits expire monthly
unused credits do not roll over at the end of a billing period, so spiky workloads pay for capacity they never use.
Discovery endpoints are billed per result returned rather than per request, so broad prospecting queries cost far more than the flat per-request rate suggests.
Job data is just one of many signals
while PredictLeads covers multiple signal types (hiring, news, financing, technologies), this breadth means job data isn't its core focus. If job postings and hiring signals are your primary use case, dedicated job intelligence platforms offer deeper coverage and a faster refresh.
Top PredictLeads Alternatives in 2026
1. TheirStackJob Data + TechnographicsJob-based technographic and company intelligence platform
TheirStack takes a unique approach to technographic data by analyzing millions of job postings worldwide. Instead of only scanning websites for frontend technologies, it reveals what technologies companies are actively hiring for, implementing, and expanding. This means you get buying intent signals alongside comprehensive tech stack data — including backend technologies that website scanners miss entirely.
Strengths
- ✓Global coverage: 230M+ job postings from 195 countries, sourced from 354k+ job boards, company career pages and ATS platforms
- ✓Built-in deduplication across all 354k+ sources — the same job posted on several platforms counts once, so you pay for one record instead of five
- ✓Continuous ingestion, not batched refreshes — high-volume sources are scraped every 10 minutes, 86% of new postings are discovered same-day and 98% within 48 hours
- ✓Job closure tracking — we detect when a posting is filled or removed and record the exact date, so you can measure how long roles stay open
- ✓One request returns up to 500 full job records — no separate call per job to retrieve the data you just searched for
- ✓Cross-filtering in both directions — search jobs by company attributes (industry, size, revenue) and companies by job attributes (title, description, date, location)
- ✓Webhooks push new and closed postings as they happen, so you can keep a database in sync without polling
- ✓Both UI and API — explore data interactively at app.theirstack.com or integrate programmatically, no engineering resources required to get started
- ✓Official MCP server for AI-native workflows — query job data directly from Claude, Cursor, or any MCP-compatible agent
- ✓Bulk datasets available for warehouse ingestion — download or schedule delivery of full data exports
- ✓Self-serve transparent pricing starting free, with plans from $49/mo and one-time purchases available — no subscription required
Considerations
- ℹCoverage follows what companies publish — roles filled internally, through recruiters or never advertised online do not appear, because every record originates in a public job posting.
- ℹNo employee or contact data — we cover jobs and the companies behind them, so teams that also need person-level profiles pair TheirStack with a dedicated contact provider.
Why choose TheirStack: Choose TheirStack when you want intent-driven technographic data that covers the full tech stack — including backend tools that website scanners miss — at a fraction of enterprise pricing.
2. CoresignalJob Data + TechnographicsB2B data infrastructure with company, employee, and job data
Coresignal is a B2B data infrastructure provider best known for its large employee and company datasets. Its jobs product now spans multiple sources with cross-source merging, but access stays API-first: a search-then-collect flow, a prompt-driven AI Data Search in the dashboard rather than a filterable interface, and monthly credits that expire on the lower plans.
Strengths
- ✓468M+ job postings archived since 2020, active and expired
- ✓Multi-source jobs dataset merges records from job boards, company websites, and ATS platforms into one canonical listing
- ✓Jobs cost 1 credit per record, the cheapest record type in their unified credit pool
- ✓Two high-volume plans price credits aggressively — Scale at $3,000 for 4M credits ($0.00075 each) and Elite at $5,000 for 10M ($0.0005 each), below any per-record API rate
- ✓Multi-source Jobs API (`/v2/job_multi_source/*`) returns cross-source merged listings
- ✓Search is free — only the collect call is billed, at 1 credit per job record
- ✓Bulk Collect retrieves up to 10,000 job records in a single request, by ID list or by Elasticsearch DSL filter, so pulling volume is not one call per job
- ✓An Agentic Search API takes a natural-language query instead of an Elasticsearch DSL one, on every plan including Mini
Considerations
- ℹBase jobs dataset is single-source and un-merged — cross-source deduplication only comes with the multi-source product, so the cheaper tier still returns the same posting several times.
- ℹVolume figures are not reconcilable: "500,000+ job listings added daily" sustained since 2020 would be over 1B postings, not the 468M+ they report; a separate page advertises 1.3M jobs a day for discovery, and a third says the 70M+ active postings are revisited every 24h. None of the four figures defines whether it counts unique postings, one row per source, or updates.
- ℹOnly a handful of sources — the multi-source jobs dataset combines a professional network plus platforms like Indeed and Glassdoor, far from the 354k+ company career pages, job boards and ATS platforms indexed by alternatives.
- ℹNo filterable user interface — the dashboard offers a prompt-driven AI Data Search with previews capped at 100 records, so refining a list means re-prompting rather than adjusting filters, and anything beyond a list export still needs the API and engineering support.
- ℹMonthly credits expire below Premium — on Mini, Starter, Pro, and Growth plans unused credits reset every month with no rollover, so bursty workloads pay for capacity they never use.
- ℹ2-endpoint API flow — search returns job IDs, then a separate collect step is needed to get the full records, so no single request both finds and returns the data.
- ℹNo synchronous bulk path — the endpoint that answers inside the same request returns exactly one job. Volume goes through Bulk Collect, which takes up to 10,000 records per request but is asynchronous: submit, wait for the files to be generated, then download and unzip them.
- ℹOne shared rate limit — 5 req/s on Mini and Starter, rising to 10, 20, 50, 100 and 100+ on Pro, Growth, Premium, Scale and Elite, split across search, collect, bulk collect and webhooks, so per-job collect loops throttle quickly at the low tiers.
- ℹAgentic Search is billed on top of the records — 20 credits per query plus 20 for every 20 results on `/fast`, and 100 plus 20 per 20 results on `/reasoning`, so a natural-language search costs many times what the same DSL query costs.
- ℹNo user interface — API-only product with no UI for exploration. Sales and non-technical teams cannot query jobs without engineering resources.
- ℹNo webhook subscriptions for jobs — webhooks only signal that a bulk file is ready, and change subscriptions that push updates as they happen exist for employee data only, so keeping a job database current means re-running searches yourself.
- ℹSubscription-only — credits are tied to a recurring monthly plan and cannot be bought once for a one-off project.
Why choose Coresignal: Choose Coresignal when you need employee and company profiles alongside job postings, and you can work API-only.
3. SumbleJob Data + TechnographicsAI-powered sales intelligence from job postings and LinkedIn
Sumble is an AI-powered sales intelligence platform built by Kaggle founders, offering person-level data, team mapping, and organizational hierarchy from job postings and LinkedIn profiles. While its people-focused approach is unique, many teams find its smaller company coverage (2.6M vs 13M+) and per-attribute credit billing constraining at scale.
Strengths
- ✓Combines job posts with LinkedIn-derived signals
- ✓ML-based title normalization grouping similar roles
- ✓Curated signal alerts with Slack integration
- ✓Find related hiring contacts for any job posting via the /jobs/find-related-people endpoint
- ✓Documented advanced query syntax covering technologies, technology categories, job functions, countries and hiring period
- ✓Versioned OpenAPI 3 spec with interactive Swagger UI, so typed clients can be generated for any language
- ✓Closed-company detection — organizations carry a status and status_reason, and search excludes defunct companies by default
Considerations
- ℹSmaller volume — ~1.8M jobs/month vs millions from leading providers.
- ℹAttribute-priced responses — every paid field on a job or organization adds a credit, so a query that returns rich records costs several times what the same query costs title-only. Budgeting requires modelling the field set, not just the row count.
- ℹLow rate limit — 10 requests per second across all endpoints, which can bottleneck high-volume integrations or parallel data pipelines.
- ℹHard offset cap of 10,000 results per query, so large result sets cannot be paginated through in full. Page size depends on the mode and the fields requested: search returns at most 200 per request, and list mode allows up to 1,000 jobs but drops to 200 when descriptions are requested and 25 when related people are.
- ℹNo first-party SDK — Sumble publishes an OpenAPI spec and generator instructions but ships no maintained client library for Python, JavaScript, or other languages.
- ℹJSON-only responses — no CSV or other format options from the API, requiring custom transformation for analytics workflows.
Why choose Sumble: Choose Sumble when you need person-level sales intelligence with org charts and team mapping capabilities.
4. TechmapJob Data + TechnographicsCountry-by-country job posting feeds and datasets
Techmap (techmap.io, now selling under the jobdatafeeds.com brand) is a job posting data vendor that sells per-country daily feeds and historic datasets through AWS Data Exchange, plus a metered job posting API on RapidAPI. Its headline volumes include duplicates — the same posting found on a job board and on a company career page is kept and flagged rather than merged — and file exports land two days after the day they cover.
Strengths
- ✓406M job postings collected since 2020, with 14.6M active postings in a rolling 3-month window
- ✓8.3M new job postings per month (June 2026) across 236 countries with monthly volume, out of 250 covered
- ✓194 portals — 117 ATS career pages, 57 job boards, 12 aggregators and 7 public employment offices in their source explorer, plus their own crawler
- ✓Published, self-serve prices on AWS Data Exchange — $400/month for the US daily feed and $4,800/year for the US historic dataset, with no sales call required
- ✓A free Luxembourg dataset lets you inspect the real schema before buying
- ✓Self-serve on RapidAPI with a free tier of 100 requests (1,000 job postings) per month and no sales contact
- ✓Headline price of $1 per 1,000 job postings — genuinely cheap per record if you do not mind paying for duplicates
- ✓API postings appear "within hours", far ahead of the two-day delay on their file exports
- ✓Filters for countryCode, portal, timezone, dateCreated, hasSalary, workPlace and city
Considerations
- ℹDuplicates are kept, flagged and billed — Techmap defines a duplicate as "a job posting with the same company name, city, country, and job title appearing within a 3-day window" and keeps it in the dataset with `isDuplicate: true` rather than merging it. Their own FAQ says this applies across portals: the same job on a job board and on the company career page is marked, not removed. So the 14.6M active postings and the 8.3M new postings per month are gross counts, and on the API — metered per request — you pay for the duplicates too. TheirStack deduplicates across all 354k of its sources before you ever see or pay for a record.
- ℹTwo-day export delay on the file products — "Data files are exported two days after the day finishes on UTC+2", so the freshest row in a daily feed is already two days old. TheirStack surfaces new postings within minutes.
- ℹThin structured fields — Techmap publishes its own fill rates: salary on ~23% of postings, contact info on ~31%, reference IDs on 30% and locale on 28%. Filters that depend on those fields only work on the minority of rows that have them.
- ℹPer-country pricing adds up fast for multi-country coverage — feeds are listed at $200–$400 per country per month and historic datasets at $2,400–$4,800 per country, priced on that country's volume. The EU-27 daily feed is listed at $4,000/month ($3,000/month on an annual contract).
- ℹSource count is inconsistent between their two storefronts — the marketing copy says "127+ sources" while their own portal explorer lists 194. techmap.io and jobdatafeeds.com disagree on volumes across the board, so figures need checking against the newer site.
- ℹMetered in requests of 10 postings — a plan advertised as "3,000 requests" is 30,000 job postings, and every partially-used page still costs a full request. Paging through a large result set is the only way to retrieve volume.
- ℹOnly the last 3 months are queryable — "Job postings older than 3 months are removed from the API"; anything earlier requires buying a historic dataset on AWS Data Exchange.
- ℹLow rate limits on the cheaper tiers — 1 request/second on Basic, 2 on Pro, 5 on Ultra and 10 on Mega, which at 10 postings per request caps Pro at roughly 20 postings per second.
- ℹRapidAPI bandwidth fee of $0.001/MB above 10 GB per month sits on top of every tier, so the effective price is above the headline for high-volume pulls.
Why choose Techmap: Choose Techmap when you need a raw, single-country job posting feed delivered as gzipped JSON-Lines files through AWS Data Exchange and you are happy to handle deduplication yourself.
5. BuyerCaddyJob Data + TechnographicsAI-curated technographics and buyergraphics from the HG Insights founders
BuyerCaddy is a technographics provider founded by HG Insights' original founders, using LLM/NER extraction over resumes, profiles, and job postings plus AI web crawling to map installs for 31M+ companies across 171K+ products, connected to 800M+ professional profiles. It is self-serve with a free tier and token pricing from $1,000/month, though delivery is pull-only — no webhooks, scheduled refresh, or self-serve bulk datasets.
Strengths
- ✓The largest product-level catalogue in the category — 171K+ products from 91K+ vendors across 2,200+ categories, mapped to the G2 taxonomy
- ✓Install records carry a time signature (when the install appeared) and an intensity count (how many verified installs), not just a boolean
- ✓Detection reads documents — resumes, profiles, job postings, case studies — so it sees backend and internal technology no website scan can
- ✓Self-serve from a free tier, with API keys and MCP access on every paid plan
Considerations
- ℹPull-only delivery — no webhooks, scheduled exports, or CRM sync connectors are documented, so keeping enriched fields fresh means re-querying each company yourself.
- ℹNo self-serve bulk dataset — the "Full Technographics Dataset" is an Enterprise custom deliverable, and API retrieval is paged at roughly 200 records per request.
- ℹNo published install count or accuracy benchmark — coverage claims are company and product counts, and the extraction pipeline (LLM/NER over documents) publishes no precision figures to validate against.
- ℹYoung company — founded by the HG Insights founders after the 2020 Riverwood acquisition, with a ~12-person team and $5.3M raised, so the dataset and product surface are still maturing.
Why choose BuyerCaddy: Choose BuyerCaddy when you need the broadest product-level install catalogue (171K+ products) connected to decision-maker profiles, self-serve and without an enterprise contract.
6. Fantastic JobsJob Data + TechnographicsAI-enriched job feeds from ATS career pages and job boards
Fantastic Jobs is a job data provider built around hourly polling of company career pages — 200,000+ employers across 55 ATS platforms, supplemented by LinkedIn, Wellfound, and Y Combinator feeds. Records ship with AI-extracted fields and LinkedIn company enrichment, and access is a self-serve subscription API designed for recurring ingestion into your own database, with no UI or webhooks and a 6-month rolling history.
Strengths
- ✓Hourly polling of 200,000+ company career sites across 55 ATS platforms, with 95% of new jobs discovered within 3 hours of posting
- ✓Over 20 AI-extracted fields (salary, experience level, work arrangement, benefits) on ~99.9% of jobs, plus locations normalized to a consistent city/region/country format
- ✓LinkedIn company profile matched to over 99% of ATS jobs at a claimed 99.4% accuracy, with a hosted logo permalink and Crunchbase funding fields
- ✓Expired, modified, and organization endpoints are free — only new jobs consume the plan quota, so keeping a mirror in sync is not double-billed
- ✓Self-serve from $95/month for 20,000 jobs, with a 7-day free trial and no credit card required
- ✓One synchronous call searches and returns up to 1,000 full records with offset or cursor pagination — no search-then-collect split
- ✓30+ filters including company columns (LinkedIn industry, headcount, size bucket, Crunchbase funding) and AI-derived fields (experience level, work arrangement, visa sponsorship)
- ✓Purpose-built sync loop — windowed hourly/daily feeds plus free expired and modified endpoints to keep a mirror current, with an outage-recovery pattern via `date_created_gte`
- ✓Docs ship a public OpenAPI spec, an in-browser playground, sample responses, and an llms.txt
Considerations
- ℹJob board coverage is three sources — LinkedIn, Wellfound, and Y Combinator; no Indeed, Glassdoor, or regional boards.
- ℹHistory is a rolling 6-month window — jobs older than 6 months are auto-expired and leave the backfill, so no multi-year archive for trend analysis.
- ℹCross-feed LinkedIn-to-ATS deduplication is an opt-in exact-match flag with documented false-positive patterns — the vendor recommends layering your own fuzzy dedup on top.
- ℹPull-only — no webhooks; the design assumes an hourly or daily cron on your side, and credits are double-billed if your polling cadence drifts from the chosen time window.
- ℹExpiry tracking returns bare ID batches with no closure date, and only ATS and LinkedIn jobs are re-checked — Wellfound and Y Combinator listings are never flagged.
- ℹNo user interface — jobs can only be reached through the API, so sales, research, and ops teams cannot explore or export data without engineering support.
- ℹTwo parallel feeds (`active-ats` and `active-jb`) with different exclusive fields and behaviors — consuming both means reconciling schemas and deduplicating across them yourself.
- ℹFull-text keyword search only — no semantic search or synonyms, punctuated terms like C++ or C# are unreliable, and organization and industry filters are exact case-sensitive strings.
- ℹDescriptions are excluded from responses by default, and the HTML variant is unsanitized scraped markup.
- ℹRequests time out at 60 seconds and description search is restricted on the 6-month window — not allowed at all on the job board feed.
Why choose Fantastic Jobs: Choose Fantastic Jobs when you need a fresh, affordable feed of ATS career-page jobs to ingest into your own database and can build the polling, deduplication, and search layer yourself.
7. HirebaseJob Data + TechnographicsReal-time job market intelligence platform
Hirebase is a newer job data provider that scrapes company career pages and ATS platforms directly — deliberately skipping aggregator boards — and sells the data through a simple API with aggressive flat pricing at volume.
Strengths
- ✓4.2M+ active listings scraped directly from 300,000+ company career pages across 80+ ATS platforms
- ✓Sub-2-hour average data freshness — sources are scanned 12–24 times a day
- ✓Claimed 99.2% dedup accuracy (one listing per job) plus a filter to exclude recruiting-agency reposts
- ✓Semantic and neural search endpoints find roles by meaning, not just keywords
- ✓Simple API key auth (single x-api-key header), and page 1 of any search works without a key
- ✓Flat volume pricing — $249/mo covers 250k jobs with $1/1k overage, $999/mo is unlimited
- ✓Three search modes — structured keyword search, vector search, and hybrid neural search for natural-language job discovery
- ✓Company API alongside jobs — company search with firmographic filters, per-company job pulls, and market/company insight aggregations
- ✓Expired Jobs endpoint returns removals with a detection date, so a downstream database can be kept in sync
- ✓Free tier (500 jobs/month) and key-less first-page searches to evaluate before paying
Considerations
- ℹNo aggregator-board coverage — LinkedIn, Indeed, and Glassdoor are deliberately excluded, so roles advertised only on boards (and employers whose career page is not among the 300k indexed) never appear.
- ℹPull-only API — no webhooks or push delivery; staying current means polling the search and Expired Jobs endpoints.
- ℹRough edges in the API surface — several documented filters are marked "not currently applied", and the per-company jobs endpoint warns that consecutive pages may return overlapping jobs.
- ℹHistorical data (18M+ records back to 2023) is gated behind the Enterprise plan with custom pricing.
- ℹNo webhooks or push notifications — the API is pull-only, so teams must poll for new results rather than receive alerts when matching jobs appear.
- ℹSingle-company scoping — job search accepts one company_name/company_slug per request and the company-jobs endpoint takes one slug per call, so enriching an account list means one request per account at a 4 req/s rate limit.
Why choose Hirebase: Choose Hirebase when you want fresh job listings scraped directly from company career pages, through a simple API with flat, volume-friendly pricing.
Frequently Asked Questions
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