Documentation-based comparison checked September 25, 2026. Both products have affiliate links. No paired API, accuracy, latency, or cost benchmark has been completed. The workload examples and acceptance tests below are hypothetical or proposed.
| Requirement | Firecrawl | Context.dev |
|---|---|---|
| Entry paid monthly plan | Hobby: $19; 5,000 credits | Developer: $19; 7,500 credits |
| Basic known-page scrape | 1 credit per page | 1 credit per call |
| Known-page JSON | 5 credits per page | 1 base plus 4 for successful JSON |
| Web search | 2 credits per 10 results | 1 credit per 10 results |
| Uncertainty to resolve | Monitor: conflicting 1 vs 7 rates | Pro rate limit: card 200 vs FAQ 300 calls/minute |
My short verdict
Choose the API that meets your output contract with acceptable correction effort, operating limits, and cost. Keep an existing integration if the alternative only looks cheaper on headline credits and has not passed a migration trial. Neither product has a measured performance advantage in this comparison.
It makes sense when
- A team choosing an ingestion API for a retrieval or research product.
- Developers comparing an existing pipeline with another provider.
- Buyers willing to inspect rejected outputs as well as successful responses.
I would choose something else when
- You need a tested speed or accuracy winner from this article.
- Your source is private or access-controlled and the chosen workflow is not authorized.
- You only need a small static export that an existing parser already handles reliably.
01
Define the same output before comparing
Write down what one usable document must contain: source URL, title, main body, retrieval date, required fields, and a clear status for missing information. A successful response containing navigation links or an obsolete price is not an accepted document.
Use the same source pages and equivalent formats in both candidates. If a workflow includes discovery, measure that stage separately from extracting known pages. Record redirects and canonical URLs so duplicate routes do not inflate the apparent yield.
Context.dev also documents brand and styleguide retrieval. If those are requirements, evaluate their field accuracy separately. Their presence does not prove a better crawler, just as a strong Markdown result does not validate brand data.
02
Compare billing units before headline allowances
The entry monthly prices above match, but included credits and some operation rates differ. That does not establish equal service or a universal cost winner. Annual offers, overage, concurrency, and advanced outputs can change the eligible configuration.
Consider a hypothetical run with 1,800 ordinary pages and 200 JSON pages. Under the basic successful-output assumptions above, both total 2,800 credits. Adding a 15% planning allowance gives 3,220. If only 1,600 unique documents pass review, that is approximately 2.01 planned credits per accepted document. This is arithmetic, not an observed API bill.
Add your actual discovery, interaction, refresh and review costs. A larger allowance may be useful, but it does not compensate for missing sections, wrong fields, or a migration that takes more work than expected.
03
Run a 25-URL acceptance test
Prepare a permitted set containing static articles, dynamic pages, long documents, redirects, duplicate routes and missing pages. Human-check at least five source records before making requests. Preserve the original manifest and each first response so later tuning does not erase failures.
Require one corrected amount with currency and billing interval, one negative condition, one unavailable field that stays unknown, and one dated change. Score missing text and invented fields separately. A filled JSON object is not necessarily a faithful record.
Log requested URLs, returned results, unique documents, accepted documents, actual credits, setup time and correction time. Explain any settings that could not be matched. No API trial has been run for this comparison.
- Inspect outputs rather than relying on HTTP success alone.
- Separate source discovery from extraction quality.
- Keep zero accepted documents as a failed run; do not divide by zero.
- Retain rejected outputs and the reasons for rejection.
04
Prove freshness and failure behavior
Repeat a permitted fixture after changing a known value. Inspect the returned content and timestamp, not just the fact that a second request completed. Use product-specific cache settings and document any constraints; a refresh policy should be demonstrated before it powers customer answers.
Both pricing pages contain exceptions or conflicting statements. Resolve the selected endpoint's behavior in the account before fixing a budget. Do not equate a returned missing-page result with a request that produced no response.
Use a controlled timeout and a missing page to check retries, usage, and application fallback. A retry loop needs a ceiling and a clear failure state so a bad source cannot quietly consume the monthly balance.
05
Migrate only after the downstream task passes
Keep a small reference set of questions with expected answers and supporting sources. Run it against documents from each pipeline. This checks whether extraction differences alter the answers your users receive; a cleaner-looking document alone is insufficient evidence.
Trial the replacement on a bounded slice while preserving the current source records and configuration. Check document identifiers, citations, deletions, refresh cadence and export compatibility. Set a rollback condition before the trial, such as missing required fields or broken source attribution.
Use the results to choose the smallest eligible plan and decide whether migration is justified. Maintain a source and usage log so future changes can be assessed against the same acceptance criteria.
Ready to test it with a real job?
Check which plan supports your required workflow, then evaluate one representative task. Record output quality, correction time, and actual usage before expanding.
Check Firecrawl plans Check Context.dev plansSponsored affiliate links.
Questions people ask before paying
Can Context.dev replace Firecrawl?
Their documented web-data capabilities overlap, so evaluate the exact endpoints and downstream requirements. This article does not establish a tested drop-in replacement.
Which has the cheaper entry monthly plan?
Both checked entry plans are $19 monthly, with different included allowances. Compare the full workload and billing interval before choosing.
Which API is more accurate or faster?
No paired accuracy or latency result has been measured here. Test equivalent pages and required outputs, retaining failures and correction time.
Can one credit be treated as one useful document?
No. Advanced operations, duplicates, missing content and rejected records separate consumed credits from accepted documents.
Should a bigger credit allowance decide the migration?
Only after the replacement passes your output and operational requirements. Include integration work, review effort and ongoing maintenance in the decision.
Sources and further reading
Pricing and feature details can change. Consult the linked product documentation for current details and check the evidence note for the scope of this evaluation.