Job Listings API vs. DIY scraping
Job Listings API team · Updated June 12, 2026
Writing your own scrapers and buying a normalized feed are not rivals so much as two points on a curve. For one or two sources, a scraper you control is genuinely the right tool. The trade flips when the work stops being a script and becomes a system you have to keep alive — many sources, normalization, dedup, and the quiet ongoing cost of things breaking. This is an honest look at where that line sits.
We are not neutral, but we have tried to be fair: the "choose DIY" list below is real, and the first row of the table credits DIY with the thing it genuinely wins on — control.
| Dimension | DIY scraping | Job Listings API |
|---|---|---|
| Upfront cost | Your engineering time — days to weeks per source before the first clean record, plus the design of a schema and store. | From $0. A free key returns normalized records on the first request; paid tiers from $99/mo when you outgrow it. |
| Per-source maintenance | You own every scraper. Markup changes, anti-bot measures, and rate limits break them, and each source is a separate thing to fix. | Maintained for you across 13 ATS platforms. A source changing its shape is our problem, not a 2am page for you. |
| Normalization | You build the taxonomy mapping — resolving titles, locations, and seniority across sources into one comparable shape yourself. | Included on every record: normalized role_category, seniority, and structured location, the same shape regardless of source. |
| Discovery of new companies | You find and maintain the list of company boards yourself, and keep finding them as employers onboard and churn off. | Done continuously across sources; new employers appear in the feed without you tracking board tokens. |
| Deduplication | You build fuzzy matching to catch the same role posted on multiple boards, and tune it as it mislabels. | A stable duplicate_cluster_id on every record — the same role across boards already shares one key. |
| Freshness ops | You schedule polling, respect back-off, and diff each run to detect roles that quietly disappeared. | Re-read on a 30-minute cadence with a rolling 21-day window; updated_since gives you deltas on every plan. |
| Compliance posture | You make and own every scraping decision — which sites, which terms, which jurisdictions. | Read first-party from ATS feeds and retained with attribution to the original posting, not scraped from sites you do not control. |
Choose DIY scraping if
- You only need one or two specific sources — a handful of company boards you can name — where a short script is genuinely all the work.
- You need full control over the exact fields, cadence, and storage, and want no dependency on an outside provider's roadmap.
- Learning the mechanics is part of the point — you are building scraping expertise, not just consuming data.
Choose us if
- You need many sources at once and do not want to own a scraper per ATS.
- The real cost is normalization and dedup — you would be rebuilding our taxonomy mapping anyway.
- Something in production depends on the data not breaking, so per-source maintenance is a liability rather than a hobby.
- You want to start today: a free key returns clean records on the first request.
Try it
One authenticated GET returns normalized, deduplicated postings from 13 applicant tracking systems. Free tier, no card — decide for yourself.